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<!--lint ignore awesome-badge -->
<!--lint ignore double-link -->
<h1 id="open-sustainable-technology">Open Sustainable Technology</h1>
<p><a
href="https://tabletopwhale.com/"><img src="earth.png" align="right" width="350"></a><strong>A
directory and analysis of the open source ecosystem in the areas of
climate change, sustainable energy, biodiversity and natural
resources.</strong> <br> <br><em>Earth’s uniqueness in creating a stable
environment for life in a completely hostile space is a miracle. Various
life forms have taken billions of years to build up the natural
resources humans depend on, such as a protective atmosphere, fertile
soil, stable weather, and clean drinking water. As a movement to
democratize technology development and knowledge creation, open source
has the potential to become the central driver in preserving this
stability. Open Sustainable Technology’s mission is to gather projects
that preserve natural ecosystems through open technology, methods, data,
intelligence, knowledge or tools.</em> <!--lint ignore double-link -->
<br> <a
href="https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech"><img
src="https://badgen.net/badge/View/Spreadsheets/009485?scale=1.6" /></a>
<a
href="https://raw.githubusercontent.com/protontypes/open-source-in-environmental-sustainability/main/OpenSourceSustainabilityEcosystem_080423.pdf"><img
src="https://badgen.net/badge/Download/Report/009485?scale=1.6" /></a>
<a href="https://opensustain.tech/contributing/#contribution-guide"><img
src="https://badgen.net/badge/Add/Project/009485?scale=1.6" /></a></p>
<p>Your contribution is essential to <a
href="https://opencollective.com/open-sustainable-technology">keep this
initative alive</a>. Create <a
href="https://github.com/protontypes/open-sustainable-technology/blob/main/CONTRIBUTING.md">a
pull request</a> to add a new project or <a
href="mailto:tobias.augspurger@protontypes.eu">send an email</a> to give
feedback, tips and ideas considering <a
href="https://opensustain.tech/">OpenSustain.tech</a>. All <em>Good
First Issue</em> labelled issues of the listed projects will be visible
on <a href="https://climatetriage.com/">ClimateTriage.com</a>.
<!--toc--></p>
<!--lint ignore awesome-toc -->
<h2 id="contents">Contents</h2>
<ul>
<li><a href="#renewable-energy">Renewable Energy</a>
<ul>
<li><a href="#photovoltaics-and-solar-energy">Photovoltaics and Solar
Energy</a></li>
<li><a href="#wind-energy">Wind Energy</a></li>
<li><a href="#hydro-energy">Hydro Energy</a></li>
<li><a href="#geothermal-energy">Geothermal Energy</a></li>
<li><a href="#bioenergy">Bioenergy</a></li>
</ul></li>
<li><a href="#energy-storage">Energy Storage</a>
<ul>
<li><a href="#battery">Battery</a></li>
<li><a href="#hydrogen">Hydrogen</a></li>
</ul></li>
<li><a href="#energy-systems">Energy Systems</a>
<ul>
<li><a href="#energy-modeling-and-optimization">Energy Modeling and
Optimization</a></li>
<li><a href="#energy-distribution-and-grids">Energy Distribution and
Grids</a></li>
<li><a href="#energy-monitoring-and-management">Energy Monitoring and
Management</a></li>
<li><a href="#energy-system-data-access">Energy System Data
Access</a></li>
</ul></li>
<li><a href="#consumption">Consumption</a>
<ul>
<li><a href="#buildings-and-heating">Buildings and Heating</a></li>
<li><a href="#mobility-and-transportation">Mobility and
Transportation</a></li>
<li><a href="#production-and-industry">Production and Industry</a></li>
<li><a href="#computation-and-communication">Computation and
Communication</a></li>
<li><a href="#agriculture-and-nutrition">Agriculture and
Nutrition</a></li>
</ul></li>
<li><a href="#emissions">Emissions</a>
<ul>
<li><a href="#carbon-intensity-and-accounting">Carbon Intensity and
Accounting</a></li>
<li><a href="#carbon-offsets-and-trading">Carbon Offsets and
Trading</a></li>
<li><a href="#carbon-capture">Carbon Capture</a></li>
<li><a href="#emission-observation-and-modeling">Emission Observation
and Modeling</a></li>
</ul></li>
<li><a href="#industrial-ecology">Industrial Ecology</a>
<ul>
<li><a href="#life-cycle-assessment">Life Cycle Assessment</a></li>
<li><a href="#circular-economy-and-waste">Circular Economy and
Waste</a></li>
</ul></li>
<li><a href="#biosphere">Biosphere</a>
<ul>
<li><a href="#biodiversity-and-species-distribution">Biodiversity and
Species Distribution</a></li>
<li><a href="#conservation-and-restoration">Conservation and
Restoration</a></li>
<li><a href="#forest-observation-and-management">Forest Observation and
Management</a></li>
<li><a href="#plants-and-vegetation">Plants and Vegetation</a></li>
<li><a href="#biomass">Biomass</a></li>
<li><a href="#wildfire">Wildfire</a></li>
<li><a href="#marine-life-and-fishery">Marine Life and Fishery</a></li>
<li><a href="#terrestrial-animals">Terrestrial Animals</a></li>
</ul></li>
<li><a href="#cryosphere">Cryosphere</a>
<ul>
<li><a href="#sea-ice">Sea Ice</a></li>
<li><a href="#glacier-and-ice-sheets">Glacier and Ice Sheets</a></li>
<li><a href="#snow-and-permafrost">Snow and Permafrost</a></li>
</ul></li>
<li><a href="#hydrosphere">Hydrosphere</a>
<ul>
<li><a href="#freshwater-and-hydrology">Freshwater and
Hydrology</a></li>
<li><a href="#ocean-circulation-models">Ocean Circulation
Models</a></li>
<li><a href="#waves-and-currents">Waves and Currents</a></li>
<li><a href="#ocean-carbon-and-temperature">Ocean Carbon and
Temperature</a></li>
<li><a href="#coastal-and-reefs">Coastal and Reefs</a></li>
<li><a href="#ocean-and-hydrology-data-access">Ocean and Hydrology Data
Access</a></li>
</ul></li>
<li><a href="#atmosphere">Atmosphere</a>
<ul>
<li><a href="#atmospheric-composition-and-dynamics">Atmospheric
Composition and Dynamics</a></li>
<li><a href="#atmospheric-dispersion-and-transport">Atmospheric
Dispersion and Transport</a></li>
<li><a href="#atmospheric-chemistry-and-aerosol">Atmospheric Chemistry
and Aerosol</a></li>
<li><a href="#meteorological-observation-and-forecast">Meteorological
Observation and Forecast</a></li>
<li><a href="#radiative-transfer">Radiative Transfer</a></li>
</ul></li>
<li><a href="#climate-change">Climate Change</a>
<ul>
<li><a href="#earth-and-climate-modeling">Earth and Climate
Modeling</a></li>
<li><a href="#climate-data-standards">Climate Data Standards</a></li>
<li><a href="#climate-data-access-and-visualization">Climate Data Access
and Visualization</a></li>
<li><a href="#climate-data-processing-and-analysis">Climate Data
Processing and Analysis</a></li>
<li><a href="#climate-downscaling">Climate Downscaling</a></li>
<li><a href="#natural-hazard-and-storm">Natural Hazard and
Storm</a></li>
<li><a href="#integrated-assessment-and-climate-policy">Integrated
Assessment and Climate Policy</a></li>
</ul></li>
<li><a href="#natural-resources">Natural Resources</a>
<ul>
<li><a href="#air-quality">Air Quality</a></li>
<li><a href="#water-supply">Water Supply</a></li>
<li><a href="#soil-and-land">Soil and Land</a></li>
</ul></li>
<li><a href="#sustainable-development">Sustainable Development</a>
<ul>
<li><a href="#sustainable-development-goals">Sustainable Development
Goals</a></li>
<li><a href="#sustainable-investment">Sustainable Investment</a></li>
<li><a href="#knowledge-platforms">Knowledge Platforms</a></li>
<li><a href="#data-catalogs-and-interfaces">Data Catalogs and
Interfaces</a></li>
<li><a href="#environmental-satellites">Environmental
Satellites</a></li>
<li><a href="#taxonomy-and-ontology">Taxonomy and Ontology</a></li>
<li><a href="#curated-lists">Curated Lists</a></li>
</ul></li>
<li><a href="#contributors">Contributors</a></li>
<li><a href="#artwork-and-license">Artwork and License</a></li>
</ul>
<!--toc_end-->
<h2 id="renewable-energy">Renewable Energy</h2>
<h3 id="photovoltaics-and-solar-energy">Photovoltaics and Solar
Energy</h3>
<ul>
<li><a href="https://github.com/pvlib/pvlib-python">pvlib-python</a> - A
set of documented functions for simulating the performance of
photovoltaic energy systems.</li>
<li><a href="https://github.com/SunPower/pvfactors">pvfactors</a> - Open
source view-factor model for diffuse shading and bifacial PV
modeling.</li>
<li><a href="https://github.com/renewables-ninja/gsee">gsee</a> - Global
Solar Energy Estimator.</li>
<li><a href="https://github.com/SunPower/PVMismatch">PVMismatch</a> - An
explicit Python PV system IV &amp; PV curve trace calculator which can
also calculate mismatch.</li>
<li><a href="https://github.com/NREL/rdtools">rdtools</a> - An open
source library to support reproducible technical analysis of time series
data from photovoltaic energy systems.</li>
<li><a
href="https://github.com/ColasGael/Machine-Learning-for-Solar-Energy-Prediction">Machine-Learning-for-Solar-Energy-Prediction</a>
- Predict the power production of a solar panel farm from weather
measurements using machine learning.</li>
<li><a
href="https://github.com/zae-bayern/elpv-dataset">elpv-dataset</a> - A
dataset of functional and defective solar cells extracted from EL images
of solar modules.</li>
<li><a href="https://github.com/oemof/feedinlib">feedinlib</a> -
Contains implementations of photovoltaic models to calculate electricity
generation from a PV installation based on given solar radiation.
Furthermore it contains all necessary pre-calculations.</li>
<li><a href="https://github.com/pvedu/photovoltaic">photovoltaic</a> - A
Python library used in photovoltaics.</li>
<li><a href="https://github.com/pvcaptest/pvcaptest">pvcaptest</a> -
Collection of functions and Jupyter Notebooks to partially automate
running a capacity test following ASTM E2848.</li>
<li><a href="https://github.com/danieljfarrell/pvtrace">pvtrace</a> -
Optical ray tracing for luminescent materials and spectral converter
photovoltaic devices.</li>
<li><a href="https://github.com/NREL/SolarPILOT">SolarPILOT</a> - Solar
power tower layout and optimization tool.</li>
<li><a
href="https://github.com/slacgismo/solar-data-tools">solar-data-tools</a>
- Data analysis tools for working with historical PV solar time-series
data sets.</li>
<li><a
href="https://github.com/tdcosim/SolarPV-DER-simulation-tool">SolarPV-DER-simulation-utility</a>
- Allows user to run dynamics simulations for solar photovoltaic
distributed energy resource connected to a stiff voltage source or to an
external program.</li>
<li><a
href="https://github.com/NREL/bifacial_radiance">bifacial_radiance</a> -
Toolkit for working with RADIANCE for the ray-trace modeling of Bifacial
Photovoltaics.</li>
<li><a href="https://github.com/PV-Lab/autoXRD">autoXRD</a> - A Python
package for automatic XRD pattern classification of thin-films, tweaked
for small and class-imbalanced datasets.</li>
<li><a href="https://github.com/PV-Lab/BayesProcess">BayesProcess</a> -
A Python package for Physics informed Bayesian network inference using
neural network surrogate model for matching process / variable /
performance in solar cells.</li>
<li><a
href="https://github.com/qpv-research-group/solcore5">solcore5</a> - A
multi-scale, Python-based library for the modeling of solar cells and
semiconductor materials.</li>
<li><a href="https://github.com/squishykid/solax">solax</a> - Read
energy usage data from the real-time API on Solax solar inverters.</li>
<li><a href="https://github.com/NREL/bifacialvf">bifacialvf</a> -
Bifacial PV View Factor model for system performance calculation.</li>
<li><a href="https://github.com/oscarperpinan/solar">solaR</a> - Allows
for reproducible research both for photovoltaics systems performance and
solar radiation.</li>
<li><a href="https://github.com/SolarTherm/SolarTherm">SolarTherm</a> -
Solar thermal power/fuel station performance simulation and optimization
using Modelica.</li>
<li><a href="https://github.com/LibreSolar/bms-firmware">LibreSolar</a>
- Firmware for LibreSolar BMS boards based on bq769x0 or ISL94202.</li>
<li><a
href="https://github.com/LibreSolar/charge-controller-firmware">Charge
Controller Firmware</a> - Firmware for LibreSolar MPPT/PWM charge
controllers.</li>
<li><a href="https://github.com/openclimatefix/pvoutput">pvoutput</a> -
Python code for downloading PV data from PVOutput.org.</li>
<li><a href="https://github.com/aqreed/solarpy">solarpy</a> - This
package aims to provide a reliable solar radiation model, mainly based
on the work of Duffie, J.A., and Beckman, W. A., 1974, “Solar energy
thermal processes”.</li>
<li><a href="https://github.com/meltaxa/solariot">solariot</a> -
Leverage your IoT enabled Solar PV Inverter to stream your solar energy
usage data to a real time dashboard.</li>
<li><a href="https://github.com/pvlib/pvanalytics">pvanalytics</a> -
Quality control, filtering, feature labeling, and other tools for
working with data from photovoltaic energy systems.</li>
<li><a
href="https://github.com/PerovskiteSCModelling/IonMonger">IonMonger</a>
- A free and fast perovskite solar cell simulator with coupled ion
vacancy and charge carrier dynamics in one dimension.</li>
<li><a
href="https://github.com/qpv-research-group/rayflare">rayflare</a> -
Provide a flexible, user-friendly Python environment to model complex
optical stacks, with a focus on solar cells.</li>
<li><a href="https://github.com/DuraMAT/pv-terms">pv-terms</a> -
Contains nomenclature for PV-relevant terms that are used in modeling
and data analysis for PV systems.</li>
<li><a
href="https://github.com/slacgismo/StatisticalClearSky">StatisticalClearSky</a>
- Statistical estimation of a clear sky signal from PV system power
data.</li>
<li><a
href="https://github.com/RentadroneCL/Photovoltaic_Fault_Detector">Photovoltaic_Fault_Detector</a>
- Model-definition is a deep learning application for fault detection in
photovoltaic plants.</li>
<li><a href="https://github.com/ropensci/nasapower">nasapower</a> - Aims
to make it quick and easy to automate downloading NASA-POWER global
meteorology, surface solar energy and climatology data in your R session
as a tidy data frame tibble object for analysis and use in modeling or
other purposes.</li>
<li><a href="https://github.com/greco-project/pvcompare">pvcompare</a> -
A model for comparing the benefits of different PV technologies in a
specified local energy system in different energy supply scenarios.</li>
<li><a href="https://github.com/NREL/SolTrace">SolTrace</a> - A software
tool developed at NREL to model concentrating solar power (CSP) systems
and analyze their optical performance.</li>
<li><a
href="https://github.com/WMD-group/CarrierCapture.jl">CarrierCapture.jl</a>
- A set of codes to compute carrier capture and recombination rates in
semiconducting compounds like solar cells.</li>
<li><a href="https://github.com/ladybug-tools/honeybee">honeybee</a> - A
Python library to create, run and visualize the results of daylight
(RADIANCE) and energy analysis (EnergyPlus/OpenStudio).</li>
<li><a
href="https://github.com/danjulio/MPPT-Solar-Charger">MPPT-Solar-Charger</a>
- Supporting documentation and software for the MPPT Solar Charger.</li>
<li><a href="https://github.com/iat-cener/tonatiuh">Tonatiuh</a> - A
Monte Carlo ray tracer for the optical simulation of solar concentrating
systems.</li>
<li><a href="https://github.com/kdmayer/3D-PV-Locator">PV4GER</a> - Aims
at democratizing and accelerating the access to photovoltaic systems
data in Germany and beyond.</li>
<li><a href="https://github.com/BreakingBytes/pvfree">PV Free</a> - A
public API for PV modeling parameters.</li>
<li><a href="https://github.com/pingswept/pysolar">Pysolar</a> - A
collection of Python libraries for simulating the irradiation of any
point on earth by the sun. It includes code for extremely precise
ephemeris calculations.</li>
<li><a href="https://github.com/NREL/PV_ICE">PV_ICE</a> - An open-source
tool to quantify Solar Photovoltaics (PV) Energy and Mass Flows in the
Circular Economy, from a Reliability and Lifetime approach.</li>
<li><a href="https://github.com/openclimatefix/nowcasting">Solar
electricity Nowcasting</a> - Build the world’s best near-term
forecasting system for solar electricity generation.</li>
<li><a
href="https://github.com/SolarArbiter/solarforecastarbiter-core">Solar
Forecast Arbiter</a> - Core data gathering, validation, processing, and
reporting package for the Solar Forecast Arbiter.</li>
<li><a
href="https://github.com/slacgismo/pv-system-profiler">pv-system-profiler</a>
- Estimating PV array location and orientation from real-world power
datasets.</li>
<li><a href="https://github.com/Lkruitwagen/solar-pv-global-inventory">A
Global Inventory of Commercial-, Industrial-, and Utility-Scale
Photovoltaic Solar Generating Units</a> - Used to produce a global
inventory of utility-scale solar photovoltaic generating station.</li>
<li><a href="https://github.com/NREL/dgen">dGen</a> - Forecast PV
adoption based on user specified configurations like electricity rate
prices, electricity load growth, solar resource factors, and much
more.</li>
<li><a href="https://github.com/solectrus/solectrus">SOLECTRUS</a> - An
alternative photovoltaic dashboard that visualizes the yield and
consumption.</li>
<li><a href="https://github.com/NREL/PVDegradationTools">pvdeg</a> - Set
of tools to calculate degradation responses and degradation related
parameters for PV.</li>
<li><a
href="https://github.com/wildmountainfarms/solarthing">solarthing</a> -
An application that can monitor data from a variety of solar charge
controllers and inverters.</li>
<li><a href="https://github.com/woheller69/solxpect">solXpect</a> -
Android app to forecast the output of your photovoltaic system (PV) or
balcony pv using data from Open-Meteo.com.</li>
<li><a href="https://github.com/AssessingSolar/solarstations">Solar
Stations</a> - A catalog of high-quality solar radiation monitoring
stations.</li>
<li><a href="https://github.com/bielcardona/OTSun">OTSun</a> - A python
package that uses the Monte Carlo Forward Ray Tracing for the optical
analysis of Solar Thermal Collectors and Solar Cells.</li>
<li><a href="https://github.com/sandialabs/pvOps">pvOps</a> - Contains a
series of functions to facilitate fusion of text-based data with time
series production data collected at photovoltaic sites.</li>
<li><a href="https://github.com/repolicy/csp-guru">CSP.guru</a> - An
open-source database of concentrating solar power plants of the world
for energy modellers and analysts.</li>
<li><a
href="https://github.com/openclimatefix/Open-Source-Quartz-Solar-Forecast">Quartz
Solar Forecast</a> - The aim of the project is to build an open source
PV forecast that is free and easy to use.</li>
</ul>
<h3 id="wind-energy">Wind Energy</h3>
<ul>
<li><a href="https://github.com/TAMU-AML/DSWE-Package">DSWE</a> - An R
implementation of various data science methods for wind energy (DSWE)
applications, such as providing machine learning methods to accurately
estimate the wind power curve.</li>
<li><a
href="https://github.com/IEAWindTask37/IEA-15-240-RWT">IEA-15-240-RWT</a>
- A 15 MW reference wind turbine repository developed in conjunction
with IEA Wind.</li>
<li><a
href="https://github.com/wind-python/windpowerlib">windpowerlib</a> - A
library to model the output of wind turbines and farms.</li>
<li><a
href="https://github.com/turbinesFoam/turbinesFoam">turbinesFoam</a> - A
library for simulating wind and marine hydrokinetic turbines in OpenFOAM
using the actuator line method.</li>
<li><a href="https://github.com/Exawind/nalu-wind">nalu-wind</a> -
Solver for wind farm simulations targeting exascale computational
platforms.</li>
<li><a href="https://github.com/OpenFAST/openfast">openfast</a> - A
multi-physics, multi-fidelity tool for simulating the coupled dynamic
response of wind turbines and wind farms.</li>
<li><a href="https://github.com/Exawind/amr-wind">amr-wind</a> - A
massively parallel, block-structured adaptive-mesh, incompressible flow
solver for wind turbine and wind farm simulations.</li>
<li><a href="https://github.com/NREL/OpenOA">OpenOA</a> - This library
provides a framework for working with large time series data from wind
plants, such as SCADA.</li>
<li><a href="https://github.com/NREL/ROSCO">ROSCO</a> - NREL’s Reference
OpenSource Controller for wind turbine applications.</li>
<li><a href="https://github.com/NREL/floris">floris</a> - A
controls-oriented engineering wake modeling framework for evaluating the
impact of wind farm controls on AEP and wind farm design.</li>
<li><a href="https://gitlab.windenergy.dtu.dk/TOPFARM/PyWake">PyWake</a>
- An AEP calculator for wind farms implemented in Python including a
collection of wake models.</li>
<li><a href="https://github.com/WISDEM/WISDEM">WISDEM</a> - Wind Plant
Integrated System Design and Engineering Model.</li>
<li><a href="https://github.com/WISDEM/WOMBAT">WOMBAT</a> - Windfarm
Operations &amp; Maintenance cost-Benefit Analysis Tool.</li>
<li><a href="https://github.com/WISDEM/LandBOSSE">LandBOSSE</a> - The
Land-based Balance-of-System Systems Engineering model is a systems
engineering tool that estimates the balance-of-system costs associated
with installing utility scale wind plants (10, 1.5 MW turbines or
larger).</li>
<li><a
href="https://gitlab.windenergy.dtu.dk/TOPFARM/TopFarm2">TopFarm2</a> -
A Python package developed by DTU Wind Energy to help with wind-farm
optimizations.</li>
<li><a
href="https://gitlab.windenergy.dtu.dk/OpenLAC/BasicDTUController">BasicDTUController</a>
- The scope of this project is to provide an open source, open access
controller that can be used by the wind energy community as a
reference.</li>
<li><a
href="https://gitlab.windenergy.dtu.dk/toolbox/WindEnergyToolbox">WindEnergyToolbox</a>
- A collection of Python scripts that facilitate working with
(potentially a lot) of HAWC2,HAWCStab2, FAST or other text input based
simulation tools.</li>
<li><a href="https://github.com/YsoSirius/windfarmGA">windfarmGA</a> -
Genetic algorithm to optimize the layout of wind farms.</li>
<li><a href="https://github.com/lkev/wtphm">wtphm</a> - The Wind Turbine
Prognostics and Health Management library processes wind turbine events
data, as well as operational SCADA data for easier fault detection,
prognostics or reliability research.</li>
<li><a href="https://github.com/WISDEM/AirfoilPreppy">AirfoilPreppy</a>
- A Python module for pre-processing and evaluating aerodynamic airfoil
data, primarily for wind turbine applications.</li>
<li><a href="https://github.com/sintel-dev/Draco">Draco</a> - A
collection of end-to-end solutions for machine learning problems
commonly found in monitoring wind energy production system.</li>
<li><a
href="https://gitlab.windenergy.dtu.dk/pyconturb/pyconturb">pyconturb</a>
- Constrained Stochastic Turbulence for Wind Energy Applications.</li>
<li><a href="https://github.com/WISDEM/ORBIT">ORBIT</a> - Offshore
Renewable Balance-of-system Installation Tool computes capital costs and
activity times for offshore wind plant balance-of-system (everything
besides the turbine) costs.</li>
<li><a
href="https://github.com/nmstreethran/WindTurbineClassification">WindTurbineClassification</a>
- Specification of ‘normal’ wind turbine operating behaviour for rapid
anomaly detection.</li>
<li><a href="https://github.com/audunarn/ANYstructure">ANYstructure</a>
- Offshore Steel structure calculation tool with automatic optimization
and report generation.</li>
<li><a href="https://github.com/ImperialCollegeLondon/sharpy">SHARPy</a>
- Simulation of High Aspect Ratio aeroplanes and wind turbines in
Python.</li>
<li><a href="https://github.com/NREL/WindSE">WindSE</a> - A Python
package that uses a FEniCS backend to perform wind farm simulations and
optimization.</li>
<li><a href="https://github.com/WISDEM/WEIS">WEIS</a> - WEIS is a
framework that combines multiple tools to enable design optimization of
floating offshore wind turbines.</li>
<li><a href="https://github.com/sandialabs/pyNuMAD">pyNuMAD</a> - An
object-oriented, open-source software written in Python which
facilitates the creation and analysis of three-dimensional models of
wind turbine blades.</li>
<li><a href="https://github.com/YingyiLiu/HAMS">HAMS</a> - An
open-source computer program for the analysis of wave diffraction and
radiation of three-dimensional floating or submerged structures.</li>
<li><a
href="https://github.com/brightwind-dev/brightwind">brightwind</a> - A
Python library aims to empower wind resource analysts and establish a
common industry standard toolset.</li>
<li><a href="https://github.com/NREL/NRWAL">NRWAL</a> - A library of
offshore wind cost equations.</li>
<li><a href="https://github.com/ebranlard/welib">welib</a> - Wind energy
library, python and matlab tools for wind turbines analyses.</li>
<li><a
href="https://github.com/IEA-Task-43/digital_wra_data_standard">digital_wra_data_standard</a>
- This standard data model and associated tools are intended as
universal building blocks for Wind Energy Resource Assessment
applications.</li>
<li><a href="https://github.com/awebox/awebox">awebox</a> - Modelling
and optimal control of single- and multiple-kite systems for airborne
wind energy.</li>
<li><a href="https://github.com/byuflowlab/CCBlade.jl">CCBlade.jl</a> -
A blade element momentum method for propellers and turbines.</li>
<li><a href="https://github.com/jdiasn/lidarwind">lidarwind</a> -
Retrieve wind speed and direction profiles from Doppler lidar
observations from the WindCube-200s.</li>
<li><a
href="https://github.com/byuflowlab/FLOWUnsteady">FLOWUnsteady</a> - An
interactional aerodynamics and acoustics solver for multirotor aircraft
and wind energy.</li>
<li><a
href="https://github.com/HiDef-Aerial-Surveying/stochLAB">stochLAB</a> -
A tool to run collision risk models for seabirds on offshore wind
farms.</li>
<li><a href="https://github.com/erf-model/ERF">Energy Research and
Forecasting</a> - Designed to provide a flexible computational framework
for the exploration and investigation of different physics
parameterizations and numerical strategies, and to characterize the flow
field that impacts the ability of wind turbines to extract wind
energy.</li>
<li><a href="https://github.com/byuflowlab/FLOWFarm.jl">FLOWFarm.jl</a>
- Wind farm simulation tool for gradient-based optimization.</li>
<li><a href="https://github.com/FraunhoferIWES/foxes">foxes</a> - A
modular wind farm simulation and wake modelling toolbox which is based
on engineering wake models.</li>
</ul>
<h3 id="hydro-energy">Hydro Energy</h3>
<ul>
<li><a href="https://github.com/sandialabs/WecOptTool">WecOptTool</a> -
Allows users to perform wave energy converter device design optimization
studies with constrained optimal control.</li>
<li><a href="https://github.com/sandialabs/CACTUS">CACTUS</a> - A
turbine performance simulation code, based on a free wake vortex method,
to study wind turbines and marine hydrokinetic devices.</li>
<li><a
href="https://github.com/energy-modelling-toolkit/hydro-power-database">hydro-power-database</a>
- Collects basic information on all the European hydro-power
plants.</li>
<li><a
href="https://github.com/MHKiT-Software/MHKiT-Python">MHKiT-Python</a> -
Provides the marine renewable energy community tools for data
processing, visualization, quality control, resource assessment, and
device performance.</li>
<li><a
href="https://github.com/hydro-python/hydropowerlib">hydropowerlib</a> -
Designed to calculate feed-in time series of run-of-the-river hydropower
plants.</li>
<li><a
href="https://github.com/NREL-Sienna/HydroPowerSimulations.jl">HydroPowerSimulations.jl</a>
- Contains extensions on PowerSystems.jl and PowerSimulations.jl to
enable enhanced hydropower representations.</li>
<li><a href="https://github.com/OpenSimHub/OpenHPL">OpenHPL</a> - An
open source hydropower library that consists of hydropower unit models
and is modeled using Modelica.</li>
<li><a href="https://github.com/WEC-Sim/WEC-Sim">WEC-Sim</a> - Wave
Energy Converter Simulator is an open source code for simulating wave
energy converters.</li>
<li><a href="https://github.com/BEMRosetta/BEMRosetta">BEMRosetta</a> -
Used to model hydrodynamic forces in offshore devices like ships,
offshore wind platforms and wave energy converters.</li>
<li><a href="https://github.com/capytaine/capytaine">Capytaine</a> - A
Python package for the simulation of the interaction between water waves
and floating bodies in frequency domain.</li>
<li><a href="https://github.com/macroenergy/Dolphyn.jl">DOLPHYN</a> -
Evaluates investments and operations across the bulk supply chain for
electricity and Hydrogen including production, storage, transmission,
conditioning, and end-use consumption.</li>
</ul>
<h3 id="geothermal-energy">Geothermal Energy</h3>
<ul>
<li><a
href="https://github.com/MassimoCimmino/pygfunction">pygfunction</a> -
An open source toolbox for the evaluation of thermal response factors of
geothermal borehole fields.</li>
<li><a href="https://github.com/wouterpeere/GHEtool">GHEtool</a> -
GHEtool is an open source Python package that contains all the
functionalities needed to deal with borefield design.</li>
<li><a href="https://gitlab.opengeosys.org/ogs/ogs">OpenGeoSys 6</a> - A
scientific open source project for the development of numerical methods
for the simulation of thermo-hydro-mechanical-chemical processes in
porous and fractured media.</li>
<li><a href="https://github.com/lanl/FEHM">FEHM</a> - Has proved to be a
valuable asset on a variety of projects of national interest including
Environmental Remediation of the Nevada Test Site, the LANL Groundwater
Protection Program, geologic CO2 sequestration, Enhanced Geothermal
Energy programs, Oil and Gas production, Nuclear Waste Isolation, and
Arctic Permafrost.</li>
<li><a href="https://github.com/CalebBell/thermo">thermo</a> -
Thermodynamics, phase equilibrium, transport properties and chemical
database component of Chemical Engineering Design Library.</li>
<li><a href="https://github.com/waiwera/waiwera">waiwera</a> - A
parallel, open-source geothermal flow simulator.</li>
<li><a href="https://github.com/ICWallis/fractoolbox">fractoolbox</a> -
Python tools for structural geology and borehole image analysis which
includes data handling, frequency and geometric analysis, and reservoir
geomechanics.</li>
<li><a
href="https://github.com/SmartTensors/GeoThermalCloud.jl">GeoThermalCloud.jl</a>
- A repository containing all the data and codes required to demonstrate
applications of machine learning methods for geothermal
exploration.</li>
<li><a href="https://github.com/ajacquey/golem">GOLEM</a> - A numerical
simulator for modelling coupled Thermo-Hydro-Mechanical processes in
faulted geothermal reservoirs.</li>
<li><a href="https://github.com/j-c-cook/ghedt">Ground Heat Exchanger
Design Tool</a> - A package with the novel capability of automatically
selecting ground heat exchanger configurations based on polygonal land
constraints.</li>
</ul>
<h3 id="bioenergy">Bioenergy</h3>
<ul>
<li><a href="https://github.com/sashahafner/biogas">biogas</a> - Tools
for biogas research in R: process biogas data and predict biogas
production.</li>
<li><a
href="https://github.com/BioSTEAMDevelopmentGroup/biosteam">biosteam</a>
- The Biorefinery Simulation and Techno-Economic Analysis Modules.</li>
<li><a href="https://github.com/PecanProject/bety">BETYdb</a> -
Web-interface to the Biofuel Ecophysiological Traits and Yields
Database.</li>
</ul>
<h2 id="energy-storage">Energy Storage</h2>
<h3 id="battery">Battery</h3>
<ul>
<li><a href="https://github.com/FZJ-IEK3-VSA/bslib">bslib</a> - Database
with battery parameters based on PerMod as well as functions in order to
simulate battery storages.</li>
<li><a
href="https://github.com/ECSHackWeek/impedance.py">impedance.py</a> - A
Python package for working with electro-chemical impedance data.</li>
<li><a href="https://github.com/pybamm-team/PyBaMM">PyBaMM</a> - Fast
and flexible physics-based battery models in Python.</li>
<li><a href="https://github.com/pybamm-team/liionpack">liionpack</a> - A
battery pack simulation tool that uses the PyBaMM framework.</li>
<li><a href="https://github.com/EnnoidMe/ENNOID-BMS">ENNOID-BMS</a> -
Open Source: Modular BMS based on LTC68XX &amp; STM32 MCU for up to 400V
EV battery pack.</li>
<li><a href="https://github.com/jepegit/cellpy">cellpy</a> - Extract and
tweak data from electro-chemical tests of battery cells.</li>
<li><a href="https://github.com/rlogiacco/BatterySense">BatterySense</a>
- A simple Arduino library to monitor battery consumption of your
battery powered projects, being LiPo, LiIon, NiCd or any other battery
type, single or multiple cells: if it can power your Arduino you can
monitor it.</li>
<li><a href="https://github.com/TRI-AMDD/beep">beep</a> - A set of tools
designed to support Battery Evaluation and Early Prediction of cycle
life corresponding to the research of the d3batt program and the Toyota
Research Institute.</li>
<li><a href="https://github.com/sandialabs/snl-quest">snl-quest</a> - An
open source, Python-based software application suite for energy storage
simulation and analysis developed by Sandia National Laboratories.</li>
<li><a href="https://gitlab.lrz.de/open-ees-ses/simses">simses</a> -
Software for techno-economic Simulation of Stationary Energy Storage
Systems.</li>
<li><a href="https://vibe.ornl.gov/#introduction">CAEBAT OAS</a> - A
flexible, robust, and computationally scalable open-architecture
framework that integrates multi-physics and multi- scale battery
models.</li>
<li><a
href="https://github.com/Samuel-Buteau/universal-battery-database">universal-battery-database</a>
- The Universal Battery Database is an open source software for managing
Lithium-ion cell data.</li>
<li><a href="https://gitlab.lrz.de/open-ees-ses/openbea">open_BEA</a> -
Open Battery Models for Electrical Grid Applications.</li>
<li><a href="https://gitlab.lrz.de/open-ees-ses/lp_opt">lp_opt</a> -
Linear Programming Optimization Tool for Battery Energy Storage
Systems.</li>
<li><a
href="https://github.com/Battery-Intelligence-Lab/SLIDE">SLIDE</a> -
SLIDE is a C++ code that simulates degradation of lithium ion cell.</li>
<li><a
href="https://github.com/batterysim/equiv-circ-model">equiv-circ-model</a>
- An equivalent circuit model for a battery cell, module, and pack.</li>
<li><a
href="https://git.rwth-aachen.de/isea/framework">ISEAFramework</a> -
Allows coupled electrical-thermal simulations of single storage systems
(e.g. lithium ion batteries or double layer capacitors) or complete
storage system packs.</li>
<li><a href="https://github.com/nealde/Ampere">Ampere</a> - Advanced
Model Package for ElectRochemical Experiments.</li>
<li><a href="https://github.com/ElektrikAkar/3d_milp">3d_milp</a> -
Energy Arbitrage Optimization With Battery Storage.</li>
<li><a
href="https://github.com/lionsimbatoolbox/LIONSIMBA">LIONSIMBA</a> - A
Matlab framework based on a finite volume model suitable for Li-ion
battery design, simulation, and control.</li>
<li><a href="https://gitlab.com/diw-evu/emobpy/emobpy">emobpy</a> - An
open tool for creating battery-electric vehicle time series from
empirical data.</li>
<li><a href="https://github.com/BattMoTeam/BattMo">BattMo</a> - The
Battery Modelling Toolbox (BattMo) is a resource for continuum modelling
of electrochemical devices in MATLAB.</li>
<li><a href="https://github.com/BradyPlanden/LiiBRA.jl">LiBRA</a> -
Create reduced-order state-space models for lithium-ion batteries
utilising realisation algorithms.</li>
<li><a href="https://github.com/pybop-team/PyBOP">PyBOP</a> - Provides a
comprehensive suite of tools for parameterisation and optimisation of
battery models.</li>
<li><a href="https://github.com/TRI-AMDD/mpet">MPET</a> - Run
simulations of batteries with porous electrodes using porous electrode
theory, which is a volume-averaged, multiscale approach to capture the
coupled behavior of electrolyte and active material within
electrodes.</li>
<li><a href="https://github.com/BIG-MAP/big-map-registry">BIG-MAP</a> -
The Battery Interface Genome Materials Acceleration Platform is
promoting accelerated discovery of novel battery materials.</li>
</ul>
<h3 id="hydrogen">Hydrogen</h3>
<ul>
<li><a href="https://github.com/ECSIM/opem">OPEM</a> - A modeling tool
for evaluating the performance of proton exchange membrane fuel
cells.</li>
<li><a href="https://github.com/ECSIM/gopem">gopem</a> - GOPEM is a
graphical user interface of OPEM.</li>
<li><a href="https://github.com/ECSIM/pem-dataset1">pem-dataset1</a> -
Proton Exchange Membrane Fuel Cell Dataset.</li>
<li><a href="https://github.com/FZJ-IEK3-VSA/HIM">HIM</a> - Hydrogen
Infrastructure model for the analysis of spatially resolved hydrogen
infrastructure pathways.</li>
<li><a href="https://github.com/e2nIEE/pandapipes">pandapipes</a> - A
pipeflow calculation tool that complements pandapower in the simulation
of multi energy grids, in particular heat and gas networks.</li>
<li><a href="https://github.com/sandialabs/hyram">The Hydrogen Risk
Assessment Models</a> - The first-ever software toolkit that integrates
deterministic and probabilistic models for quantifying accident
scenarios, predicting physical effects, and characterizing hydrogen
hazards impact on people and structures.</li>
<li><a href="https://github.com/lanl-ansi/GasModels.jl">GasModels.jl</a>
- A Julia/JuMP Package for Gas Network Optimization.</li>
<li><a href="https://www.gas.scigrid.de/">SciGRID_gas</a> - Methods to
create an automated network model of the European gas transportation
network.</li>
<li><a
href="https://github.com/mathworks/Fuel-Cell-Vehicle-Model-Simscape">Vehicle
with Fuel Cell Powertrain</a> - Fuel cell electric vehicle with battery
model and cooling system.</li>
<li><a href="https://github.com/Virtual-FCS/VirtualFCS">VirtualFCS</a> -
A Modelica library for hybrid hydrogen fuel cell and battery power
systems.</li>
</ul>
<h2 id="energy-systems">Energy Systems</h2>
<h3 id="energy-modeling-and-optimization">Energy Modeling and
Optimization</h3>
<ul>
<li><a
href="https://en.wikipedia.org/wiki/Open_energy_system_models">Open
Energy System Models</a> - Used to explore future energy systems and are
often applied to questions involving energy and climate policy.</li>
<li><a href="https://github.com/PyPSA/PyPSA">PyPSA</a> - A free software
toolbox for simulating and optimizing modern power systems that include
features such as conventional generators with unit commitment, variable
wind and solar generation, storage units, coupling to other energy
sectors, and mixed alternating and direct current networks.</li>
<li><a href="https://github.com/PyPSA/pypsa-eur">PyPSA-Eur</a> - A
Sector-Coupled Open Optimization Model of the European Transmission
System.</li>
<li><a
href="https://en.wikipedia.org/wiki/Open_energy_system_databases">Open
Energy System Databases</a> - Employ open data methods to collect,
clean, and republish energy-related datasets for open use.</li>
<li><a href="https://github.com/PyPSA/whobs-server">whobs-server</a> -
This is the code for the online optimization of zero-direct-emission
electricity systems with wind, solar and storage (using batteries and
electrolysed hydrogen gas) to provide a baseload electricity demand,
using the cost and other assumptions of your choice.</li>
<li><a href="https://github.com/NREL/SAM">System Advisor Model</a> - A
simulation program for electricity generation projects. It has models
for different kinds of renewable energy systems and financial models for
residential, commercial, and utility-scale projects.</li>
<li><a
href="https://github.com/IIT-EnergySystemModels/openTEPES">openTEPES</a>
- Determines the investment plans of new facilities (generators, ESS and
lines) for supplying the forecasted demand at minimum cost.</li>
<li><a href="https://github.com/PowerGenome/PowerGenome">PowerGenome</a>
- A tool to quickly and easily create inputs for power systems
models.</li>
<li><a
href="https://github.com/pyaf/load_forecasting">load_forecasting</a> -
Load forecasting on Delhi area electric power load using ARIMA, RNN,
LSTM and GRU models.</li>
<li><a href="https://github.com/NREL/REopt_API">REopt_API</a> - Offers a
subset of features from NREL’s more comprehensive REopt model. Both
models provide concurrent, multiple technology integration and
optimization capabilities to help organizations meet their cost savings
and energy performance goals.</li>
<li><a href="https://github.com/e2nIEE/pandapower">pandapower</a> - An
easy to use open source tool for power system modeling, analysis and
optimization with a high degree of automation.</li>
<li><a href="https://github.com/tum-ens/urbs">urbs</a> - A linear
optimization model for distributed energy systems.</li>
<li><a
href="https://github.com/energy-modelling-toolkit/Dispa-SET">Dispa-SET</a>
- Allows to model a power system at any level of detail e.g. micro-grid,
region, country, continent.</li>
<li><a href="https://github.com/calliope-project/calliope">Calliope</a>
- A framework to develop energy system models, with a focus on
flexibility, high spatial and temporal resolution, the ability to
execute many runs based on the same base model, and a clear separation
of framework and model.</li>
<li><a
href="https://github.com/calliope-project/euro-calliope">Euro-Calliope</a>
- A model of the European electricity system built using Calliope.</li>
<li><a href="https://github.com/OSeMOSYS/OSeMOSYS">OSeMOSYS</a> - An
open source modeling system for long-run integrated assessment and
energy planning. It has been employed to develop energy systems models
from the scale of continents (African Power Pools, South America,
EU28+2) down to the scale of countries, regions and villages.</li>
<li><a href="https://github.com/VUB-HYDR/REVUB">REVUB</a> - The main
objective is to model how flexible operation of hydropower plants can
help renewable electricity mixes with variable solar and wind power to
provide reliable electricity supply and load-following services.</li>
<li><a href="https://github.com/FZJ-IEK3-VSA/FINE">FINE</a> - Provides a
framework for modeling, optimizing and assessing energy systems.</li>
<li><a href="https://github.com/com-pas/compas-architecture">CoMPAS</a>
- Formed to develop open source software components related to IEC 61850
model implementation (profile management) and configuration of a power
industry Protection Automation and Control System.</li>
<li><a
href="https://github.com/NREL-Sienna/PowerSimulations.jl">PowerSimulations.jl</a>
- A Julia package for power system modeling and simulation of Power
Systems operations.</li>
<li><a
href="https://github.com/NREL-Sienna/PowerSystems.jl">PowerSystems.jl</a>
- Provides a rigorous data model using Julia structures to enable power
systems analysis and modeling.</li>
<li><a
href="https://git.rwth-aachen.de/acs/public/simulation/DistAIXFramework/distaix">DistAIX</a>
- A simulator for cyber-physical power systems that makes use of high
performance computing techniques to scale up the simulation.</li>
<li><a href="https://github.com/UNSW-CEEM/nempy">nempy</a> - Aims to
enhance the Australian electricity industries modeling and analytical
capabilities.</li>
<li><a href="https://github.com/bje-/NEMO">NEMO</a> - The National
Electricity Market Optimizer is a chronological dispatch model for
testing and optimizing different portfolios of conventional and
renewable electricity generation technologies.</li>
<li><a
href="https://github.com/niclasmattsson/GlobalEnergyGIS">GlobalEnergyGIS</a>
- Generates input data for energy models on renewable energy in
arbitrary world regions using public datasets.</li>
<li><a
href="https://github.com/AntaresSimulatorTeam/Antares_Simulator">Antares
Simulator</a> - An Open Source power system simulator to quantify the
adequacy or the economic performance of interconnected energy systems,
at short or remote time horizons.</li>
<li><a href="https://github.com/GMLC-TDC/HELICS">HELICS</a> - Today the
core uses are in the energy domain, where there is extensive and growing
support for a wide-range of electric power system, natural gas,
communications and control-schemes, transportation, buildings, and
related domain tools.</li>
<li><a href="https://github.com/oemof/oemof-solph">oemof-solph</a> - A
model generator for energy system modeling and optimization.</li>
<li><a href="https://github.com/oemof/oemof-thermal">oemof-thermal</a> -
Provides tools to model thermal energy components as an extension of
oemof.solph, e.g. compression heat pumps, concentrating solar plants,
thermal storage and solar thermal collectors.</li>
<li><a
href="https://git.rwth-aachen.de/acs/public/villas/node">VILLASnode</a>
- Connecting real-time power grid simulation equipment.</li>
<li><a
href="https://github.com/openENTRANCE/openentrance">openENTRANCE</a> -
The Horizon 2020 openENTRANCE project aims at developing, using and
disseminating an open, transparent and integrated modeling platform for
assessing low-carbon transition pathways in Europe.</li>
<li><a href="https://github.com/JuliaEnergy/Joulia.jl">Joulia.jl</a> - A
Large-Scale Spatial Power System Model for Julia.</li>
<li><a href="https://github.com/IDAES/idaes-pse">The IDAES Toolkit</a> -
Aims to provide multi-scale, simulation-based, open source computational
tools and models to support the design, analysis, optimization,
scale-up, operation and troubleshooting of innovative, advanced energy
systems.</li>
<li><a href="https://github.com/TemoaProject/temoa">Temoa</a> - Tools
for Energy Model Optimization and Analysis (Temoa) is an open source
modeling framework for conducting energy system analysis.</li>
<li><a
href="https://github.com/ie3-institute/PowerSystemDataModel">PowerSystemDataModel</a>
- Provides an extensive data model capable of modeling energy systems
with high granularity e.g. for bottom-up simulations.</li>
<li><a
href="https://github.com/rte-antares-rpackage/antaresViz">antaresViz</a>
- Visualize the results of Antares, an Open Source power system
simulator meant to be used by anybody placing value in quantifying the
adequacy or the economic performance of interconnected energy systems,
at short or remote time horizons.</li>
<li><a
href="https://github.com/rte-antares-rpackage/antaresRead">antaresRead</a>
- Import, manipulate and explore the results of an Antares
simulation.</li>
<li><a
href="https://github.com/spine-tools/Spine-Toolbox">Spine-Toolbox</a> -
An application to define, manage, and execute various energy system
simulation models.</li>
<li><a href="https://github.com/oemof/demandlib">demandlib</a> - With
the demandlib you can create power and heat profiles for various sectors
by scaling them to your desired demand.</li>
<li><a
href="https://gitlab.com/diw-evu/dieter_public/dieterpy">dieter_py</a> -
An open source power sector optimization model that has been developed
to investigate the role of electricity storage and sector coupling
options in future scenarios with high shares of renewable energy
sources.</li>
<li><a
href="https://gricad-gitlab.univ-grenoble-alpes.fr/omegalpes/omegalpes">OMEGAlpes</a>
- Aims to be an energy systems modeling tool for linear optimization
(LP, MILP).</li>
<li><a href="https://github.com/reegis/deflex">deflex</a> - Flexible
multi-regional energy system model for heat, power and mobility.</li>
<li><a
href="https://github.com/ADGEfficiency/energy-py-linear">energy-py-linear</a>
- Optimizing energy systems using mixed integer linear programming.</li>
<li><a href="https://github.com/switch-model/switch">switch-model</a> -
Optimal planning model for power systems with large shares of renewable
energy.</li>
<li><a href="https://github.com/leonardgoeke/AnyMOD.jl">AnyMOD.jl</a> -
Creating large scale energy system models with multiple periods of
capacity expansion formulated as linear optimization problems.</li>
<li><a href="https://github.com/FlexiGIS/FlexiGIS">FlexiGIS</a> -
Extracts, filters and categorizes the geo-referenced urban energy
infrastructure and allocates the required decentralized storage in urban
settings.</li>
<li><a href="https://neon.energy/emma/">EMMA</a> - A techno-economic
model of the north-west European power market covering France, Benelux,
Germany and Poland.</li>
<li><a href="https://github.com/NREL/reVX">reVX</a> - Renewable Energy
Potential(V) eXchange Toot.</li>
<li><a
href="https://github.com/YoungFaithful/CapacityExpansion.jl">CapacityExpansion.jl</a>
- Future energy system planning (Generation and Transmission Capacity
Expansion Planning) in Julia.</li>
<li><a href="https://github.com/sogno-platform/dpsim">DPsim</a> - A
solver library for dynamic power system simulation.</li>
<li><a href="https://github.com/GenXProject/GenX">GenX</a> - A
highly-configurable, open source electricity resource capacity expansion
model that incorporates several state-of-the-art practices in
electricity system planning to offer improved decision support for a
changing electricity landscape.</li>
<li><a href="https://github.com/OpenEnergyPlatform/oeplatform">Open
Energy Platform</a> - Aims to ensure quality, transparency and
reproducibility in energy system research. It is a collection of various
tools and information and that help working with energy-related
data.</li>
<li><a href="https://github.com/oemof/oemof">oemof</a> - Open Energy
Modelling Framework - A Python toolbox for energy system modeling and
optimization. A community driven, modular, flexible and generic software
project.</li>
<li><a href="https://github.com/tum-ens/pyGRETA">pyGRETA</a> - Python
Generator of REnewable Time series and mAps: a tool that generates
high-resolution potential maps and time series for user-defined regions
within the globe.</li>
<li><a href="https://github.com/FZJ-IEK3-VSA/RESKit">RESKit</a> - A
toolkit to help generate renewable energy generation time series for
energy systems analysis.</li>
<li><a href="https://github.com/powsybl/powsybl-core">PowSyBl</a> - An
open source framework written in Java, that makes it easy to write
complex software for power systems simulations and analysis.</li>
<li><a href="https://github.com/powsybl/powsybl-open-loadflow">PowSyBl
Open Load Flow</a> - An open source implementation of the load flow API
that can be found in PowSyBl Core. It supports AC Newtow-Raphson and
linear DC calculation methods.</li>
<li><a href="https://github.com/powsybl/pypowsybl">PyPowSyBl</a> - A
Python library for modelling and simulating power grids by providing
bindings to the powsybl Java framework.</li>
<li><a href="https://github.com/MATPOWER/matpower">matpower</a> - A
package of M-files for solving power flow, continuation power flow and
optimal power flow problems using MATLAB or Octave.</li>
<li><a href="https://github.com/energyRt/energyRt">energyRt</a> - Making
Energy Systems Modeling as simple as a linear regression in R.</li>
<li><a
href="https://github.com/rl-institut/multi-vector-simulator">MVS</a> -
The multi-vector simulator allows the evaluation of local sector-coupled
energy systems that include the energy carriers electricity, heat and/or
gas.</li>
<li><a
href="https://github.com/Critical-Infrastructure-Systems-Lab/PowNet">PowNet</a>
- A least-cost optimization model for simulating the Unit Commitment and
Economic Dispatch of large-scale (regional to country) power
systems.</li>
<li><a href="https://github.com/OpenIPSL/OpenIPSL">OpenIPSL</a> - A
library of power system component models written in the Modelica
language that can be used for power system dynamic analysis, such as
phasor time-domain simulations.</li>
<li><a href="https://github.com/RAMP-project/RAMP">RAMP</a> - A
bottom-up stochastic model for the generation of high-resolution
multi-energy profiles, conceived for application in contexts where only
rough information about users’ behaviour are obtainable.</li>
<li><a href="https://github.com/richard-weinhold/pomato">POMATO</a> - An
easy to use tool for the comprehensive analysis of the modern
electricity market.</li>
<li><a
href="https://bitbucket.org/harald_g_svendsen/powergama/wiki/Home">PowerGAMA</a>
- A lightweight simulation tool for high level analyses of renewable
energy integration in large power systems.</li>
<li><a href="https://github.com/NREL/reV">reV</a> - Enables the
efficient and scalable computation of renewable energy generation,
levelized cost of energy, application of geospatial exclusion layers,
and generation of renewable energy supply curves.</li>
<li><a href="https://github.com/openCEMorg/openCEM">openCEM</a> -
Capacity Expansion Model and Optimiser for the Australian National
Energy Market.</li>
<li><a href="https://github.com/ADGEfficiency/energy-py">energy-py</a> -
Reinforcement learning for energy systems.</li>
<li><a href="https://github.com/FZJ-IEK3-VSA/glaes">glaes</a> -
Geospatial Land Availability for Energy Systems.</li>
<li><a href="https://github.com/OnSSET/onsset">onsset</a> - A GIS based
optimization tool that has been developed to support electrification
planning and decision making for the achievement of energy access goals
in currently unserved locations.</li>
<li><a
href="https://github.com/intelligent-environments-lab/CityLearn">CityLearn</a>
- Official reinforcement learning environment for demand response and
load shaping.</li>
<li><a
href="https://github.com/IBM/rl-testbed-for-energyplus">rl-testbed-for-energyplus</a>
- Reinforcement Learning Testbed for Power Consumption Optimization
using EnergyPlus.</li>
<li><a href="https://github.com/FZJ-IEK3-VSA/tsam">tsam</a> - A Python
package which uses different machine learning algorithms for the
aggregation of time series.</li>
<li><a
href="https://github.com/holgerteichgraeber/TimeSeriesClustering.jl">TimeSeriesClustering</a>
- Provides simple integration of multi-dimensional time-series data
(e.g. multiple attributes such as wind availability, solar availability,
and electricity demand) in a single aggregation process.</li>
<li><a href="https://github.com/blue-marble/gridpath">GridPath</a> - A
versatile simulation and optimization platform for power-system planning
and operations.</li>
<li><a href="https://github.com/curent/andes">ANDES</a> - Power system
transient dynamics simulation with symbolic modeling and numerical
analysis.</li>
<li><a
href="https://github.com/Breakthrough-Energy/REISE.jl">REISE.jl</a> -
Renewable Energy Integration Simulation Engine.</li>
<li><a href="https://github.com/EnergyTransition/ESDL">ESDL</a> - A
modelling language created for the components in an energy system and
their relations towards each other.</li>
<li><a href="https://github.com/slacgismo/TESS">Transactive Energy
Service System</a> - A platform to design, deploy, and operate
transactive energy systems in electric utility retail environments.</li>
<li><a href="https://github.com/adamgreenhall/minpower">Minpower</a> -
An open source toolkit for students and researchers in power
systems.</li>
<li><a
href="https://github.com/MaREI-EPMG/times-ireland-model">TIMES-Ireland
Model</a> - Information on the Irish energy system as it is today and
the best available projections for what the future technology and fuel
options and demands will be.</li>
<li><a
href="https://sentinel-energy.github.io/friendly_data/">Frictionless
Energy data</a> - Common medium to facilitate the flow of data between
energy and environmental models in a way that can be automated.</li>
<li><a href="https://github.com/dpinney/omf">Open Modeling Framework</a>
- A set of Python libraries for simulating power systems behavior with
an emphasis on cost-benefit analysis of emerging technologies.</li>
<li><a href="https://github.com/Thales1330/PSP">PSP-UFU</a> -
Open-Source Software with advanced GUI features and CAD tools for
electrical power system studies.</li>
<li><a href="https://github.com/EnergyInnovation/eps-us">Energy Policy
Simulator</a> - The open-source United States Energy Policy Simulator
estimates environmental and economic impacts of hundreds of climate and
energy policies.</li>
<li><a href="https://github.com/OpenSTEF/openstef">OpenSTEF</a> - A
Python package which is used to make short term forecasts for the energy
sector.</li>
<li><a href="https://github.com/Matt-Brigida/EIAdata">EIAdata</a> -
Provides programmatic access to the Energy Information Administration’s
API.</li>
<li><a href="https://github.com/PyPSA/technology-data">Energy System
Technology Data</a> - Compilation of assumptions about energy system
technologies such as cost, efficiency and lifetime that can be read by
energy system modelling software.</li>
<li><a
href="https://github.com/Lkruitwagen/global-fossil-fuel-supply-chain">Asset-level
Transition Risk in the Global Coal, Oil, and Gas Supply Chains</a> - The
global fossil fuel supply chain, mapped at the asset-level.</li>
<li><a href="https://github.com/DrafProject/draf">draf</a> - Analysis
and decision support framework for local multi-energy hubs focusing on
demand response.</li>
<li><a
href="https://git.tu-berlin.de/genesysmod/genesys-mod-public">GENeSYS-MOD</a>
- An open-source energy system model, originally based on the
Open-Source Energy Modeling System (OSeMOSYS) framework, with various
additions.</li>
<li><a
href="https://github.com/pypsa-meets-earth/pypsa-earth">PyPSA-Earth</a>
- An Open Optimisation Model of the Earth Energy System.</li>
<li><a href="https://github.com/IMMM-SFA/tell">tell</a> - An open-source
Python package to model future hourly total electricity loads.</li>
<li><a href="https://gitlab.com/dlr-ve/esy/amiris/amiris">AMIRIS</a> -
An agent-based simulation of electricity markets and their actors
enabling researchers to analyse and evaluate energy policy instruments
and their impact on the actors.</li>
<li><a
href="https://gitlab.com/dlr-ve/esy/amiris/amiris-py">AMIRIS-Py</a> -
Python tools for the electricity market model AMIRIS.</li>
<li><a href="https://github.com/PREP-NexT/PREP-SHOT">PREP-SHOT</a> - A
transparent, modular, and open-source Energy Capacity Expansion
Model.</li>
<li><a href="https://github.com/idaholab/HYBRID">HYBRID</a> - A modeling
toolset to assess the integration and economic viability of Integrated
Energy Systems.</li>
<li><a href="https://gitlab.com/fame-framework/fame-core">FAME</a> - Its
purpose is supporting the rapid development and fast execution of
complex agent-based energy system simulations.</li>
<li><a href="https://gitlab.com/dlr-ve/esy/remix/framework">REMix</a> -
The main focus is on the broad techno-economical assessment of possible
future energy system designs and analysis of interactions between
technologies.</li>
<li><a href="https://github.com/epri-dev/StorageVET">StorageVET</a> - A
valuation model for analysis of energy storage technologies and some
other energy resources paired with storage.</li>
<li><a href="https://github.com/epri-dev/OpenDER">OpenDER</a> - Aims to
accurately represent steady-state and dynamic behaviors of
inverter-based distributed energy resources.</li>
<li><a href="https://github.com/NREL/HOPP">HOPP</a> - Assesses optimal
designs for the deployment of utility-scale hybrid energy plants,
particularly considering wind, solar and storage.</li>
<li><a href="https://github.com/quintel/etmodel">ETM Pro</a> -
Professional interface of the Energy Transition model.</li>
<li><a href="https://github.com/mesmo-dev/mesmo">MESMO</a> - An
open-source Python tool for the modeling, simulation and optimization of
multi-scale electric and thermal distribution systems along with
distributed energy resources.</li>
<li><a href="https://github.com/assume-framework/assume">ASSUME</a> - An
open-source toolbox for agent-based simulations of European electricity
markets, with a primary focus on the German market setup.</li>
<li><a
href="https://github.com/sei-international/NemoMod.jl">NemoMod.jl</a> -
A high performance, open-source energy system optimization modeling tool
developed in Julia.</li>
<li><a href="https://github.com/NREL/ReEDS-2.0">ReEDS</a> - A capacity
planning and dispatch model for the North American electricity
system.</li>
<li><a href="https://github.com/PyPSA/247-cfe">24/7 CFE</a> - This
project explores the means, costs and impacts of 24/7 Carbon-Free Energy
procurement in Europe.</li>
<li><a href="https://github.com/PyPSA/pypsa-usa">pypsa-usa</a> - An
open-source power systems model of the bulk transmission systems in the
United States.</li>
<li><a href="https://github.com/dynawo/dynawo">Dynaωo</a> - Aims at
providing power system stakeholders with a transparent, flexible,
interoperable and robust suite of simulation tools that could ease
collaboration and cooperation in the power system community.</li>
<li><a href="https://github.com/etsap-TIMES/TIMES_model">TIMES_model</a>
- A bottom-up optimization model used for the exploration of possible
energy futures based on contrasted scenarios.</li>
<li><a
href="https://github.com/EnergySystemsModellingLab/MUSE_OS">MUSE_OS</a>
- A open source agent-based modelling environment that can be used to
simulate change in an energy system over time.</li>
<li><a
href="https://github.com/TulipaEnergy/TulipaEnergyModel.jl">TulipaEnergyModel.jl</a>
- Provides an optimization model for the electricity market and its
coupling with other energy sectors (e.g., hydrogen, heat, natural gas,
etc.) with the main objective to determine the optimal investment and
operation decisions for different types of assets.</li>
<li><a href="https://github.com/quintel/etengine">Energy Transition
Engine</a> - Calculation engine for the Energy Transition Model.</li>
<li><a
href="https://github.com/pommes-public/pommesdispatch">pommesdispatch</a>
- A bottom-up fundamental power market model for the German electricity
sector.</li>
</ul>
<h3 id="energy-distribution-and-grids">Energy Distribution and
Grids</h3>
<ul>
<li><a href="https://github.com/e2nIEE/simbench">SimBench</a> - The
objective of the research project SimBench is the development of a
benchmark dataset to support research in grid planning and
operation.</li>
<li><a href="https://github.com/grid-parity-exchange/Egret">Egret</a> -
A Python-based package for electrical grid optimization based on the
Pyomo optimization modeling language.</li>
<li><a href="https://github.com/OSGP/open-smart-grid-platform">Open
Smart Grid Platform</a> - An open, generic, scalable and independent
‘Internet of Things’ platform, which enables various connected smart
objects in the public space to be easily controlled and monitored.</li>
<li><a
href="https://github.com/lanl-ansi/PowerModels.jl">PowerModels.jl</a> -
Designed to enable computational evaluation of emerging power network
formulations and algorithms in a common platform.</li>
<li><a
href="https://github.com/lanl-ansi/PowerModelsAnnex.jl">PowerModelsAnnex.jl</a>
- An extension of PowerModels.jl that provides a home for open source
sharing of preliminary and/or exploratory methods in power system
optimization.</li>
<li><a href="https://github.com/power-grid-lib/pglib-opf">Power Grid
Lib</a> - This benchmark library is curated and maintained by the IEEE
PES Task Force on Benchmarks for Validation of Emerging Power System
Algorithms and is designed to evaluate a well established version of the
AC Optimal Power Flow problem.</li>
<li><a href="https://github.com/MarvinLer/pypownet">pypownet</a> - A
power network simulator with a Reinforcement Learning-focused
usage.</li>
<li><a href="https://github.com/rte-france/Grid2Op">Grid2Op</a> - A
testbed platform to model sequential decision making in power
systems.</li>
<li><a href="https://github.com/openego/eDisGo/">eDisGo</a> -
Optimization of flexibility options and grid expansion for distribution
grids based on PyPSA.</li>
<li><a href="https://github.com/rl-institut/offgridders">offgridders</a>
- Models and optimizes capacity &amp; dispatch of electricity supply
systems, off-grid or connected to a (weak) central grid.</li>
<li><a href="https://github.com/GridMod/RTS-GMLC">RTS-GMLC</a> -
Reliability Test System of the Grid Modernization Lab Consortium.</li>
<li><a
href="https://github.com/upb-lea/openmodelica-microgrid-gym">openmodelica-microgrid-gym</a>
- An OpenAI Gym Environment for Microgrids.</li>
<li><a href="https://sourceforge.net/projects/electricdss/">OpenDSS</a>
- An electric power Distribution System Simulator for supporting
distributed resource integration and grid modernization efforts.</li>
<li><a
href="https://github.com/JuliaEnergy/PowerDynamics.jl">PowerDynamics.jl</a>
- Provides all the tools you need to create a dynamic power grid model
and analyze it.</li>
<li><a
href="https://github.com/NREL-Sienna/InfrastructureSystems.jl">InfrastructureSystems.jl</a>
- Provides utilities to support data models for infrastructure modeling
in NREL-SIIP.</li>
<li><a
href="https://github.com/OpenLEADR/openleadr-python">openleadr</a> -
Open Automated Demand Response (OpenADR) is an open and interoperable
information exchange model and emerging smart grid standard.</li>
<li><a href="https://github.com/SanPen/GridCal">GridCal</a> - Aims to be
a complete platform for power systems research and simulation.</li>
<li><a href="https://gitlab.com/energyincities/python-ehub">pyehub</a> -
A Python-based, modular and nestable implementation of the Energy Hub
model (balancing demand and supply, system capacity sizing and network
flows using Mixed-Integer Linear Programming).</li>
<li><a href="https://github.com/energywebfoundation/origin">origin</a> -
A set of toolkits that together provide a system for issuance and
management of Energy Attribute Certificates.</li>
<li><a href="https://github.com/gridsingularity/gsy-e">Grid Singularity
Energy Exchange</a> - An interface to download and deploy
interconnected, grid-aware energy marketplaces.</li>
<li><a href="https://gitlab.vtt.fi/backbone/backbone">Backbone</a> - A
generic energy network optimization tool written in GAMS.</li>
<li><a href="https://github.com/SonyCSL/APIS">APIS</a> - Build a
microgrid that utilizes variable renewable energy as the main power
source and enhances the resilience of the power system.</li>
<li><a
href="https://github.com/ahalev/python-microgrid">python-microgrid</a> -
A Python library to generate and simulate a large number of
microgrids.</li>
<li><a href="https://power.scigrid.de/">SciGRID</a> - The focus will be
on the European transmission grids, but the methods will be applicable
more generally.</li>
<li><a href="https://gitlab.com/mosaik/mosaik">mosaik</a> - A flexible
Smart Grid co-simulation framework.</li>
<li><a
href="https://gitlab.com/SmartGridToolbox/SmartGridToolbox">SmartGridToolbox</a>
- Designed to provide an extensible and flexible starting point for
developing a wide variety of smart grid simulations and other
applications.</li>
<li><a href="https://github.com/EPGOxford/OPEN">OPEN</a> - The framework
combines distributed energy resource modelling (e.g. for PV generation
sources, battery energy storage systems, electric vehicles), energy
market modelling, power flow simulation and multi-period optimisation
for scheduling flexible energy resources.</li>
<li><a href="https://github.com/arras-energy/gridlabd">GridLAB-D</a> - A
simulation platform for future electricity distribution power
systems.</li>
<li><a href="https://github.com/robinhenry/gym-anm">Gym-ANM</a> - Design
Reinforcement Learning environments that model Active Network Management
tasks in electricity distribution networks.</li>
<li><a href="https://github.com/seapath/meta-seapath">SEAPATH</a> - Aims
at developing a reference design and industrial grade open source
real-time platform that can run virtualized automation and protection
applications for the power grid industry.</li>
<li><a href="https://github.com/transportenergy/database">Tools for the
iTEM databases</a> - Contains tools for two databases maintained by
iTEM, the International Transport Energy Modeling consortium.</li>
<li><a
href="https://github.com/Breakthrough-Energy/PowerSimData">PowerSimData</a>
- Is part of a Python software ecosystem developed by Breakthrough
Energy Sciences to carry out power flow study in the U.S. electrical
grid.</li>
<li><a href="https://github.com/ie3-institute/simona">SIMONA</a> -
Provides a simulation toolbox to run and implement large-scale
agent-based electricity grid simulations with focus on distribution
grids.</li>
<li><a href="https://github.com/PowerGridModel/power-grid-model">Power
Grid Model</a> - A library for steady-state distribution power system
analysis distributed for Python and C.</li>
<li><a
href="https://github.com/upb-lea/ElectricGrid.jl">ElectricGrid.jl</a> -
A time domain electrical energy grid modeling and simulation tool with a
focus on the control of power electronics converters.</li>
<li><a
href="https://github.com/Electa-Git/PowerModelsACDC.jl">PowerModelsACDC.jl</a>
- A a Julia/JuMP/PowerModels package with models for DC lines, meshed DC
networks, and AC DC converters.</li>
<li><a href="https://github.com/Electa-Git/FlexPlan.jl">FlexPlan.jl</a>
- An open-source Julia tool for transmission and distribution expansion
planning considering storage and demand flexibility.</li>
<li><a href="https://github.com/mzy2240/ESA">Easy SimAuto</a> - An
easy-to-use Power System Analysis Automation Platform atop PowerWorld’s
Simulator Automation Server.</li>
<li><a href="https://github.com/manuvarkey/GElectrical">GElectrical</a>
- A free and opensource electrical system analysis software for LV/MV
electrical distribution networks.</li>
<li><a href="https://github.com/Alkia/electra">Electra</a> - Sovereign
blockchain solution that enables local micro-grid to operate smoothly
between trustless actors enabling a real circular economy based on the
exchange of electricity units.</li>
<li><a href="https://github.com/SESMG/SESMG">SESMG</a> - An energy
system model generator with the focus on the optimization of urban
energy systems.</li>
<li><a href="https://github.com/GridOPTICS/GridPACK">GridPACK</a> - An
open-source high-performance package for simulation of large-scale
electrical grids.</li>
<li><a href="https://github.com/CLOVER-energy/CLOVER">CLOVER</a> - A
minigrid simulation and optimisation for supporting rural
electrification in developing countries.</li>
<li><a href="https://github.com/pnnl/ExaGO">ExaGO</a> - High-performance
power grid optimization for stochastic, security-constrained, and
multi-period ACOPF problems.</li>
</ul>
<h3 id="energy-monitoring-and-management">Energy Monitoring and
Management</h3>
<ul>
<li><a href="https://github.com/OpenEnergyDashboard/OED">Open Energy
Dashboard</a> - Open Energy Dashboard is a user-friendly way to display
energy information from smart energy meter.</li>
<li><a href="https://github.com/OpenEMS/openems">OpenEMS</a> - Open
Source Energy Management System.</li>
<li><a href="https://github.com/openeemeter/eemeter">eemeter</a> - An
open source Python package for implementing and developing standard
methods for calculating normalized metered energy consumption and
avoided energy use.</li>
<li><a
href="https://github.com/opfab/operatorfabric-core">OperatorFabric</a> -
A modular, extensible, industrial-strength and field-tested platform for
use in electricity, water and other utility operations.</li>
<li><a
href="https://github.com/Energy-Sparks/energy-sparks">energy-sparks</a>
- An open source application that is designed to help schools improve
their energy efficiency.</li>
<li><a href="https://github.com/openenergymonitor/emonpi">emonpi</a> -
The OpenEnergyMonitor system has the capability to monitor electrical
energy use / generation, temperature and humidity.</li>
<li><a href="https://github.com/openenergymonitor/EmonLib">EmonLib</a> -
Arduino Energy Monitoring Library.</li>
<li><a href="https://github.com/emoncms/emoncms">Emoncms</a> - A
powerful open source web application for processing, logging and
visualizing energy, temperature and other environmental data.</li>
<li><a
href="https://github.com/FlexMeasures/flexmeasures">FlexMeasures</a> - A
platform for building energy flexibility services with forecasting and
scheduling, written in Python &amp; offering a USEF-conform API.</li>
<li><a href="https://github.com/cisco-open/green-monitoring">Green
Monitoring Stack</a> - An open-source stack that monitors the network,
data center (compute / storage) infrastructure, third-party devices and
external sources to understand the energy consumption and its relation
to traffic and bandwidth, the cost and the carbon footprint at various
levels of granularity.</li>
<li><a href="https://github.com/openenergymonitor/STM32">STM32 Energy
Monitoring</a> - The following resources are a work in progress guide to
using the STM32 platform for energy monitoring, being written as part of
development work into the next generation of OpenEnergyMonitor
hardware.</li>
<li><a href="https://github.com/davidusb-geek/emhass">EHMASS</a> -
Energy Management for Home Assistant, is a Python module designed to
optimize your home energy interfacing with Home Assistant.</li>
<li><a href="https://github.com/JPHutchins/open-energy-view">Open Energy
View</a> - The goal of this project is to analyze and present resource
consumption data to users empowering them to conserve and save
money.</li>
<li><a
href="https://github.com/SolarNetwork/solarnetwork-node">SolarNetwork</a>
- Flexible platform for the monitoring and control of energy assets,
meters, sensors, weather stations, EV chargers, market pricing, load
optimization, and more.</li>
<li><a
href="https://github.com/bramstroker/homeassistant-powercalc">PowerCalc</a>
- Custom component for Home Assistant to estimate the power consumption
(as virtual meters) of lights, fans, smart speakers and other devices,
which don’t have a built-in power meter.</li>
<li><a
href="https://github.com/CharlesGillanders/homeassistant-alphaESS">homeassistant-alphaESS</a>
- Monitor your energy generation, storage, and usage data using the
official Open API from Alpha ESS.</li>
<li><a
href="https://github.com/EnAccess/OpenSmartMeter">OpenSmartMeter</a> -
Low-cost &amp; OEM agnostic GSM prepaid smart energy meter with a
customizable API.</li>
</ul>
<h3 id="energy-system-data-access">Energy System Data Access</h3>
<ul>
<li><a href="https://github.com/opennem/opennem-fe">OpenNEM</a> - Aims
to make the wealth of public Australian Electricity Market data more
accessible to a wider audience.</li>
<li><a href="https://open-power-system-data.org/data-sources">Open Power
System Data</a> - A list of primary data sources that are helpful for
power system modeling of Europe.</li>
<li><a href="https://github.com/catalyst-cooperative/pudl">The Public
Utility Data Liberation Project</a> - Makes the US’ energy data easier
to access and use.</li>
<li><a href="https://github.com/wri/global-power-plant-database">Global
Power Plant Database</a> - A comprehensive, global and open source
database of power plants.</li>
<li><a href="https://github.com/EnergieID/entsoe-py">entsoe-py</a> - A
Python client for the ENTSO-E API (European Network of Transmission
System Operators for Electricity).</li>
<li><a href="https://github.com/Open-Power-System-Data/time_series">time
series</a> - Contains scripts that compile time series data of the
European power system.</li>
<li><a
href="https://github.com/Open-Power-System-Data/renewable_power_plants">renewable
power plant</a> - Contains scripts to create lists of renewable power
plants in Germany, Denmark, France and Poland, and daily time series of
cumulated installed capacity per energy source type for Germany.</li>
<li><a
href="https://github.com/Open-Power-System-Data/conventional_power_plants">conventional
power plants</a> - Contains data on conventional power plants for
Germany as well as other selected European countries. The data include
individual power plants with their technical characteristics.</li>
<li><a
href="https://github.com/OpenEnergyPlatform/open-MaStR">open-MaStR</a> -
Download and process German energy data from BNetzA database
Marktstammdatenregister.</li>
<li><a
href="https://github.com/PyPSA/powerplantmatching">powerplantmatching</a>
- A toolset for cleaning, standardizing and combining multiple power
plant databases.</li>
<li><a
href="https://github.com/cristianst85/GeoNuclearData">GeoNuclearData</a>
- Database with information about Nuclear Power Plants worldwide.</li>
<li><a href="https://github.com/thomastu/pyEIA">pyEIA</a> - An Energy
Information Administration API Python client for researchers who need
data.</li>
<li><a href="https://github.com/ropensci/eia">EIA</a> - An R package
wrapping the US Energy Information Administration open data API.</li>
<li><a href="https://github.com/PyPSA/atlite">atlite</a> - Light-weight
version of Aarhus RE Atlas for converting weather data to power systems
data.</li>
<li><a href="https://github.com/m4rz910/NYISOToolkit">NYISOToolkit</a> -
A collection of modules for accessing power system data, generating
statistics, and creating visualizations from the New York Independent
System Operator.</li>
<li><a href="https://github.com/RamiKrispin/UKgrid">UKgrid</a> - An R
data package with the UK National Grid historical demand for electricity
between April 2005 and October 2019.</li>
<li><a href="https://github.com/RamiKrispin/USgrid">USgrid</a> - The
hourly demand and supply of electricity in the US.</li>
<li><a href="https://github.com/SanPen/ESIOS">ESIOS</a> - Comprehensive
library to access the Spanish electricity market entity in Python.</li>
<li><a href="https://github.com/owid/energy-data">energy-data</a> - Data
on global energy consumption (primary energy, per capita, and growth
rates), energy mix, electricity mix and other relevant metrics.</li>
<li><a href="https://openei.org/wiki/Main_Page">OpenEI</a> - A
knowledge-sharing online community dedicated to connecting people with
the latest information and data on energy resources from around the
world.</li>
<li><a href="https://osf.io/by5hu/">Power grid frequency data base</a> -
This data set contains precisely time stamped (GPS referenced) frequency
data from several power grids around the world in one second resolution
and 1 hour excerpts of raw data.</li>
<li><a
href="https://github.com/DemandRegioTeam/disaggregator">disaggregator</a>
- A set of tools for processing of spatial and temporal disaggregations
of demands of electricity, heat and natural gas.</li>
<li><a href="http://opendata.ffe.de/">The FfE Open Data Portal</a> -
Offers an overview of free datasets for modelling energy demand and
generation.</li>
<li><a href="https://github.com/systemcatch/eiapy">eiapy</a> - A simple
wrapper for the U.S. Energy Information Administration API.</li>
<li><a href="https://github.com/OSUKED/Power-Station-Dictionary">Power
Station Dictionary</a> - A power station dictionary that enables mapping
between various naming conventions and associated plant metadata.</li>
<li><a
href="https://github.com/OSUKED/ElexonDataPortal">ElexonDataPortal</a> -
Wrapper for the Balancing Mechanism Reporting Service API to balance
power flowing on to and off from the electricity Transmission System in
Great Britain.</li>
<li><a href="https://gitlab.com/diw-evu/oet/openenergytracker">Open
Energy Tracker</a> - An open data platform for monitoring and
visualizing energy policy targets.</li>
<li><a href="https://github.com/kmax12/gridstatus">gridstatus</a> -
Provides standardized API to access energy data from the major
Independent System Operators in the United States.</li>
<li><a href="https://github.com/NREL/sup3r">sup3r</a> - The Super
Resolution for Renewable Resource Data software uses generative
adversarial networks to create synthetic high-resolution wind and solar
spatiotemporal data from coarse low-resolution inputs.</li>
<li><a href="https://energydata.info/">EnergyData.Info</a> - An open
data platform from the World Bank Group providing access to datasets and
data analytics that are relevant to the energy sector.</li>
<li><a href="https://github.com/cityssm/EMILE">EMILE</a> - An
application to aggregate energy consumption data across several
municipal assets and report usage to monitor and manage emissions.</li>
<li><a
href="https://github.com/transition-zero/feo-client">feo-client</a> -
Crafted for energy systems modellers seeking access to data for nodes,
assets, technologies, as well as the data supporting models and
scenarios published by TransitionZero.</li>
<li><a href="https://github.com/openEDI/open-data-access-tools">Open
Data Access Tools</a> - Aims to improve and automate access to
high-value energy datasets across the U.S. Department of Energy’s
programs, offices, and national laboratories, and help researchers and
industry to accelerate analysis and advance innovation.</li>
</ul>
<h2 id="consumption">Consumption</h2>
<h3 id="buildings-and-heating">Buildings and Heating</h3>
<ul>
<li><a href="https://github.com/trynthink/scout">scout</a> - A tool for
estimating the future energy use, carbon emissions, and capital and
operating cost impacts of energy efficiency and demand flexibility
technologies in the U.S. residential and commercial building
sectors.</li>
<li><a href="https://github.com/ibpsa/project1-boptest">BOPTEST</a> -
The Building Optimization Testing (BOPTEST) Framework enables the
assessment and benchmarking of control algorithms for building energy
management.</li>
<li><a
href="https://github.com/ibpsa/project1-boptest-gym">BOPTEST-Gym</a> -
The OpenAI-Gym interface of the BOPTEST framework facilitates the
assessment and benchmarking of RL algorithms for building energy
management.</li>
<li><a href="https://github.com/NREL/hescore-hpxml">HPXML to Home Energy
Score Translator</a> - This translator script takes an HPXML file or
directory of files as an input and generates HEScore inputs from
it.</li>
<li><a
href="https://github.com/FZJ-IEK3-VSA/LoadProfileGenerator">LoadProfileGenerator</a>
- A program for generating load curves for residential consumers.
Agent-based and extremely detailed.</li>
<li><a
href="https://github.com/buds-lab/the-building-data-genome-project">The-building-data-genome-project</a>
- A collection of non-residential buildings for performance analysis and
algorithm benchmarking.</li>
<li><a href="https://github.com/NREL/EnergyPlus">EnergyPlus</a> - A
whole building energy simulation program that engineers, architects, and
researchers use to model both energy consumption and water usage in
buildings.</li>
<li><a href="https://github.com/NREL/OpenStudio">OpenStudio</a> - A
cross-platform collection of software tools to support whole building
energy modeling using EnergyPlus and advanced daylight analysis using
Radiance.</li>
<li><a
href="https://github.com/HIT2GAP-EU-PROJECT/bemserver">BEMServer</a> -
An open source Python server to deploy energy management solutions for
buildings.</li>
<li><a href="https://github.com/SEED-platform/seed">SEED</a> - Standard
Energy Efficiency Data Platform™ is a web-based application that helps
organizations easily manage data on the energy performance of large
groups of buildings.</li>
<li><a href="https://github.com/bigladder/HPWHsim">HPWHsim</a> - An open
source simulation model for Heat Pump Water Heaters (HPWH).</li>
<li><a href="https://github.com/NREL/OpenStudio-ERI">OpenStudio-ERI</a>
- Calculates an Energy Rating Index (ERI) via an
OpenStudio/EnergyPlus-based workflow. Building information is provided
through an HPXML file.</li>
<li><a
href="https://github.com/NREL/OpenStudio-HPXML">OpenStudio-HPXML</a> -
Modeling of residential buildings in EnergyPlus using
OpenStudio/HPXML.</li>
<li><a href="https://github.com/RWTH-EBC/AixLib">AixLib</a> - A Modelica
model library for building performance simulations.</li>
<li><a href="https://github.com/RWTH-EBC/TEASER">TEASER</a> - Tool for
Energy Analysis and Simulation for Efficient Retrofit.</li>
<li><a href="https://github.com/RWTH-EBC/pyCity">pyCity</a> - A Python
package for data handling and scenario generation of city districts and
urban energy systems.</li>
<li><a href="https://github.com/open-ideas/IDEAS">IDEAS</a> - A Modelica
model library for integrated building or district energy
simulations.</li>
<li><a href="https://github.com/oemof/tespy">tespy</a> - Provides a
powerful simulation toolkit for thermal engineering plants such as power
plants, district heating systems or heat pumps.</li>
<li><a
href="https://github.com/architecture-building-systems/RC_BuildingSimulator">RC_BuildingSimulator</a>
- A Resistance Capacitance Model for an Energetic Simulation of a
Building.</li>
<li><a
href="https://github.com/architecture-building-systems/CityEnergyAnalyst">City
Energy Analyst</a> - Helps you to analyze the effects of building
retrofits, land-use planning, district heating and cooling and renewable
energy on the future costs, emissions and energy consumption of
neighborhoods and districts.</li>
<li><a href="https://github.com/lbl-srg/modelica-buildings">Modelica
Buildings library</a> - A free and open source library with dynamic
simulation models for building energy and control systems.</li>
<li><a
href="https://github.com/mdh266/NYCBuildingEnergyUse">NYCBuildingEnergyUse</a>
- Predict the emission of greenhouse gases from buildings by looking at
their age, and water consumption as well as other energy consumption
metrics.</li>
<li><a
href="https://github.com/HotMaps/Hotmaps-toolbox-service">Hotmaps</a> -
The open source mapping and planning tool for heating and cooling.</li>
<li><a href="https://github.com/EDF-Lab/BuildSysPro">BuildSysPro</a> -
EDF’s Modelica library for buildings, districts and energy systems
modeling.</li>
<li><a href="https://github.com/lbl-srg/MPCPy">MPCPy</a> - The
Python-based open source platform for model predictive control in
buildings.</li>
<li><a href="https://github.com/lbl-srg/obc">obc</a> - Performance
Evaluation, Specification, Deployment and Verification of Building
Control Sequences.</li>
<li><a
href="https://gitlab.com/energyincities/energy-signature-analyser">Energy
Signature Analyser</a> - A toolbox to analyze energy signatures of
buildings and compare the signatures of all buildings within an entire
building stock.</li>
<li><a
href="https://github.com/UdK-VPT/BuildingSystems">BuildingSystems</a> -
The Modelica open source BuildingSystems library is developed for
dynamic simulation of the energetic behavior of single rooms, buildings
and whole districts.</li>
<li><a href="https://github.com/ibpsa/modelica-ibpsa">modelica-ibpsa</a>
- A Modelica library for building and district energy systems developed
within IBPSA Project 1.</li>
<li><a href="https://github.com/TEB-model/teb">teb</a> - A library to
calculate the urban surface energy balance at neighborhood scale
assuming a simplified canyon geometry.</li>
<li><a href="https://github.com/FZJ-IEK3-VSA/tsib">tsib</a> - A Python
package that builds up on different databases and models for creating
consistent demand and production time series of residential
buildings.</li>
<li><a href="https://github.com/oemof/DHNx">DHNx</a> - This package
provides an open toolbox for district heating and cooling network
optimization and simulation models.</li>
<li><a
href="https://github.com/buds-lab/building-data-genome-project-2">The
Building Data Genome 2 Data-Set</a> - Whole building non-residential
hourly energy meter data from the Great Energy Predictor III
competition.</li>
<li><a href="https://gitlab.com/energyincities/besos">BESOS</a> - A
collection of modules for the simulation and optimization of buildings
and urban energy systems.</li>
<li><a
href="https://github.com/CenterForTheBuiltEnvironment/pythermalcomfort">pythermalcomfort</a>
- Package to calculate several thermal comfort indices (e.g. PMV, PPD,
SET, adaptive) and convert physical variables.</li>
<li><a
href="https://github.com/CenterForTheBuiltEnvironment/comfort_tool">comfort_tool</a>
- A web interface for comfort model calculations and visualizations
according to ASHRAE Standard-55, EN Standard 16798 and ISO Standard
7730.</li>
<li><a href="https://github.com/NREL/resstock">resstock</a> - Helping
states, municipalities, utilities, and manufacturers identify which
building stock improvements save the most energy and money.</li>
<li><a href="https://github.com/dsmrreader/dsmr-reader">DSMR-reader</a>
- Used for reading the smart meter DSMR (Dutch Smart Meter Requirements)
P1 port yourself at your home.</li>
<li><a href="https://github.com/LBNL-ETA/MSWH">Multiscale Solar Water
Heating</a> - Solar water heating system modeling and simulation for
individual and community scale projects.</li>
<li><a href="https://github.com/hongyuanjia/eplusr">eplusr</a> -
Provides a rich toolkit of using whole building energy simulation
program EnergyPlus directly in R, which enables programmatic navigation,
modification of EnergyPlus, conducts parametric simulations and
retrieves outputs.</li>
<li><a href="https://github.com/BrickSchema/Brick">Brick</a> - An
open-source effort to standardize semantic descriptions of the physical,
logical and virtual assets in buildings and the relationships between
them.</li>
<li><a href="https://github.com/LBNL-JCI-ICF/better">BETTER</a> -
Building Efficiency Targeting Tool for Energy Retrofits.</li>
<li><a href="https://github.com/nilmtk/nilmtk">NILM</a> - Non-Intrusive
Load Monitoring is the process of estimating the energy consumed by
individual appliances given just a whole-house power meter reading.</li>
<li><a
href="https://github.com/volkszaehler/volkszaehler.org">volkszaehler.org</a>
- A free smart meter implementation with focus on data privacy.</li>
<li><a href="https://github.com/volkszaehler/mbmd">ModBus Measurement
Daemon</a> - A daemon for collecting measurement data from smart meters
and grid inverters over modbus.</li>
<li><a href="https://github.com/FZJ-IEK3-VSA/HiSim">HiSim</a> -
Simulation and analysis of household scenarios using modern components
as alternative to fossil fuel based ones.</li>
<li><a href="https://github.com/FZJ-IEK3-VSA/hplib">hplib</a> - Database
with efficiency parameters from public Heatpump Keymark datasets as well
as parameter-sets and functions in order to simulate heat pumps.</li>
<li><a href="https://github.com/ecmwf/thermofeel">Thermofeel</a> - A
library to calculate human thermal comfort indexes.</li>
<li><a href="https://github.com/CenterForTheBuiltEnvironment/clima">CBE
Clima Tool</a> - A web-based application built to support the need of
architects and engineers interested in climate-adapted design.</li>
<li><a href="https://github.com/bigladder/kiva">Kiva</a> - Used to
calculate heat loss and gain on a timestep basis from building
foundations.</li>
<li><a href="https://gitlab.com/retrofitcoop/macquette">Macquette</a> -
A whole house energy assessment tool, which models a building to produce
a report to help householders under how their home performs now in terms
of energy use and how it might be improved.</li>
<li><a href="https://github.com/UMEP-dev/UMEP">Urban Multi-scale
Environmental Predictor</a> - A climate service tool, designed for
researchers and service providers presented as a plugin for QGIS.</li>
<li><a href="https://github.com/hebes-io/eensight">eensight</a> - This
Python package implements the measurement and verification (M&amp;V)
methodology that has been developed by the H2020 project SENSEI - Smart
Energy Services to Improve the Energy Efficiency of the European
Building Stock.</li>
<li><a href="https://github.com/kdmayer/PointER">PointER</a> - A
LiDAR-Derived Point Cloud Dataset of One Million English Buildings
Linked to Energy Characteristics.</li>
<li><a
href="https://gitlab.com/polito-edyce-prelude/predyce">predyce</a> - Is
the natural evolution of the conventional Energy Performance
Certification into real time optimization of building performance and
comfort, by capturing the building’s dynamic behaviour, and at the same
time providing transparent feedback, through an intuitive
interface.</li>
<li><a href="https://github.com/BETALAB-team/EUReCA">EUReCA</a> -
Provides an efficient and reliable Urban Building Energy Modeling
platform, entirely developed in Python, aiming at simulating and
predicting cities and urban areas energy consumption.</li>
<li><a href="https://github.com/RWTH-EBC/ebcpy">ebcpy</a> - Provides
generic functions and classes commonly used for the analysis and
optimization of energy systems, buildings and indoor climate.</li>
<li><a href="https://github.com/kW-Labs/nmecr">nmecr</a> - Builds upon
the energy efficiency community’s past efforts to model complex and
nuanced building energy use profiles.</li>
<li><a href="https://github.com/HoareLea/SAM">SAM</a> - An open-source
software designed to help engineers create analytical models of
energy-efficient buildings.</li>
<li><a href="https://github.com/meirim-org/meirim">Meirim</a> - A
open-source smart city application that facilitates transparency in
urban planning.</li>
<li><a href="https://github.com/KartoffelToby/better_thermostat">Better
Thermostat</a> - This custom component for Home Assistant will add
crucial features to your climate-controlling Thermostatic Radiator
Valves to save you the work of creating automations to make it
smart.</li>
<li><a href="https://github.com/arup-group/a-carbon-tool">A Carbon
Tool</a> - An open source web application that enables users to estimate
embodied carbon equivalent content from Building Information
Models.</li>
<li><a
href="https://github.com/DavidVeld/CarboLifeCalc">CarboLifeCalc</a> - An
embodied carbon calculator for the built environment.</li>
<li><a
href="https://github.com/openenergymonitor/heatpumpmonitor.org">HeatpumpMonitor.org</a>
- An open source initiative to share and compare heat pump performance
data.</li>
</ul>
<h3 id="mobility-and-transportation">Mobility and Transportation</h3>
<ul>
<li><a href="https://github.com/ropensci/stplanr">stplanr</a> - A
package for sustainable transport planning with R.</li>
<li><a href="https://github.com/JRCSTU/CO2MPAS-TA">CO2MPAS-TA</a> -
CO2MPAS is backward-looking longitudinal-dynamics CO2 and
fuel-consumption simulator for light-duty vehicles.</li>
<li><a href="https://code.europa.eu/jrc-ldv/jrshift">GEARSHIFT</a> -
Generate WLTC gear-shifts based on vehicle characteristics.</li>
<li><a href="https://github.com/mobilityhouse/ocpp">ocpp</a> - Python
implementation of the Open Charge Point Protocol.</li>
<li><a href="https://github.com/maasglobal/maas-schemas">MaaS Global</a>
- Mobility as a Service API - data model, tests and validation.</li>
<li><a href="https://github.com/coopcycle/coopcycle-web">CoopCycle</a> -
A self-hosted platform to order meals in your neighborhood and get them
delivered by bike couriers.</li>
<li><a href="https://github.com/EVNotify/EVNotify">EVNotify</a> - Allows
you to monitor your electric vehicle and lets you notify when the
specified preset state of charge has been achieved.</li>
<li><a href="https://github.com/diowa/icare">icare</a> - An open source
carpooling platform used as a basis for our commercial product Company
Carpool.</li>
<li><a href="https://github.com/STS-Rosario/carpoolear">Carpoolear</a> -
The first Argentine Facebook app that allows the users of this social
network to share car trips with other users.</li>
<li><a href="https://utd19.ethz.ch/">UTD19</a> - Largest multi-city
traffic dataset publicly available.</li>
<li><a href="https://github.com/OpenEVSE/open_evse">OpenEVSE</a> -
Firmware for OpenEVSE: Open Source Hardware J1772 Electric Vehicle
Supply Equipment.</li>
<li><a href="https://github.com/OpenEVSE/ESP8266_WiFi_v2.x">OpenEVSE
WiFi gateway</a> - Uses an ESP8266 (ESP-12) which communicates with the
OpenEVSE controller via serial utilizing the existing RAPI API serial
interface.</li>
<li><a href="https://github.com/vonfeng/DeepMove">DeepMove</a> -
Predicting Human Mobility with Attentional Recurrent Networks.</li>
<li><a
href="https://github.com/openmobilityfoundation/mobility-data-specification">mobility-data-specification</a>
- A data standard to enable communication between mobility companies and
local governments.</li>
<li><a href="https://github.com/mdolab/openconcept">OpenConcept</a> - A
toolkit for conceptual MDAO of aircraft with unconventional propulsion
architectures.</li>
<li><a href="https://github.com/openchargemap/ocm-system">Open Charge
Map</a> - The global public registry of electric vehicle charging
locations.</li>
<li><a href="https://github.com/evcc-io/evcc">EVCC</a> - An extensible
EV Charge Controller with PV integration implemented in Go.</li>
<li><a href="https://github.com/steve-community/steve">SteVe</a> -
Provides basic functions for the administration of charge points, user
data and RFID cards for user authentication and was tested successfully
in operation.</li>
<li><a href="https://github.com/SwitchEV/RISE-V2G">RISE-V2G</a> - The
only fully-featured reference implementation of the Vehicle-2-Grid
communication interface ISO 15118.</li>
<li><a href="https://github.com/sash-ko/simobility">simobility</a> - A
human-friendly Python framework that helps scientists and engineers to
prototype and compare fleet optimization algorithms (autonomous and
human-driven vehicles).</li>
<li><a href="https://github.com/vocol/mobivoc">MobiVoc</a> - An open
vocabulary for future-oriented mobility solutions.</li>
<li><a href="https://github.com/grote/Transportr">Transportr</a> - The
public transport companion that respects your privacy and your
freedom.</li>
<li><a
href="https://github.com/OneBusAway/onebusaway-android">OneBusAway</a> -
The Open Source platform for Real Time Transit Info.</li>
<li><a href="https://github.com/BlinkTagInc/node-gtfs">node-gtfs</a> -
Import GTFS transit data into SQLite and query routes, stops, times,
fares and more.</li>
<li><a
href="https://github.com/schildbach/public-transport-enabler">Public
Transport Enabler</a> - Unleash public transport data in your Java
project.</li>
<li><a href="https://github.com/grote/osm2gtfs">osm2gtfs</a> - Turn
OpenStreetMap data and schedule information into GTFS.</li>
<li><a href="https://github.com/systragroup/quetzal">Quetzal</a> - A
modeling library designed for transport planning and traffic
forecasts.</li>
<li><a
href="https://github.com/marlinarnz/quetzal_germany">quetzal_germany</a>
- A four step transport model for Germany using the quetzal transport
modeling suite.</li>
<li><a href="https://openmobility.eclipse.org/">OpenMobility</a> -
Driving the Evolution and Broad Adoption of Open Source Mobility
Modeling and Simulation Technologies.</li>
<li><a
href="https://github.com/Universite-Gustave-Eiffel/NoiseModelling">NoiseModelling</a>
- A free and open source model to compute noise maps.</li>
<li><a
href="https://github.com/Universite-Gustave-Eiffel/NoiseCapture">NoiseCapture</a>
- Android App dedicated to the measurement of environmental noise.</li>
<li><a
href="https://github.com/cyclosm/cyclosm-cartocss-style">CyclOSM</a> - A
CartoCSS map style designed with cycling in mind.</li>
<li><a href="https://github.com/upb-lea/gym-electric-motor">Gym Electric
Motor</a> - An OpenAI Gym Environment for Electric Motors.</li>
<li><a href="https://github.com/LBNL-UCB-STI/beam">BEAM</a> - The
Framework for Modeling Behavior, Energy, Autonomy, and Mobility in
Transportation Systems.</li>
<li><a href="https://github.com/ubahnverleih/WoBike">WoBike</a> - Public
transport and multimodal routing apps could benefit from showing nearby
bikes from bikesharing services. So here’s a list showing the APIs of a
few of these platforms.</li>
<li><a href="https://github.com/PierrickP/multicycles">multicycles</a> -
Aggregates on one map, more than 100 share vehicles like bikes,
scooters, mopeds and cars.</li>
<li><a href="https://github.com/eskerda/pybikes">pybikes</a> - Provides
a set of tools to scrape bike sharing data from different websites and
APIs, thus providing a coherent and generalized set of classes and
methods to access this sort of information.</li>
<li><a
href="https://github.com/OpenChargingCloud/ChargyDesktopApp">ChargyDesktopApp</a>
- Chargy is a transparency software for secure and transparent
e-mobility charging processes, as defined by the German
“Eichrecht”.</li>
<li><a
href="https://github.com/OpenChargingCloud/WWCP_OCPP">WWCP_OCPP</a> -
Connectivity between the World Wide Charging Protocol (WWCP) and the
Open Charge Point Protocol (OCPP v1.6/v2.0).</li>
<li><a
href="https://github.com/OpenChargingCloud/WWCP_Core">WWCP_Core</a> -
The World Wide Charging Protocol Suite is a collection of protocols in
order to connect market actors in the field of e-mobility solutions via
scalable and secure Internet protocols.</li>
<li><a href="https://openv2g.sourceforge.net/">openv2g</a> - The
objective to start this project is primarily to support the ISO and IEC
standardization process to specify the so called “Vehicle 2 Grid
Communication Interface” (V2G CI) which became the ISO IEC 15118
specification by now.</li>
<li><a
href="https://github.com/RAMP-project/RAMP-mobility">RAMP-mobility</a> -
A novel application of the RAMP main engine for generating bottom-up
stochastic electric vehicles load profiles.</li>
<li><a href="https://github.com/ITSLeeds/pct/">PCT</a> - The goal is to
increase the accessibility and reproducibility of the data produced by
the Propensity to Cycle Tool (PCT).</li>
<li><a href="https://github.com/goat-community/goat">goat</a> - A tool
capable of modeling walking and cycling accessibility.</li>
<li><a href="https://github.com/UrbanAnalyst/gtfsrouter">gtfs-router</a>
- An R package for routing with GTFS (General Transit Feed
Specification) data.</li>
<li><a href="https://github.com/cityflow-project/CityFlow/">CityFlow</a>
- A Multi-Agent Reinforcement Learning Environment for Large Scale City
Traffic Scenario.</li>
<li><a
href="https://github.com/d-wasserman/Complete_Street_Rule">Complete_Street_Rule</a>
- An ArcGIS CityEngine scenario oriented design tool intended to enable
users to quickly create procedural generated multimodal streets.</li>
<li><a
href="https://github.com/jrester/tesla_powerwall">tesla_powerwall</a> -
Python Tesla Powerwall API for consuming a local endpoint.</li>
<li><a href="https://github.com/gsoh/VED">Vehicle Energy Dataset</a> - A
large-scale dataset for vehicle energy consumption research.</li>
<li><a href="https://github.com/MobilityData/gbfs">gbfs</a> -
Documentation for the General Bikeshare Feed Specification, a
standardized data feed for shared mobility system availability.</li>
<li><a href="https://github.com/bikeindex/bike_index">Bike Index</a> -
Bike registration that works: online, powerful, free.</li>
<li><a href="https://github.com/voltbras/go-ocpp">go-ocpp</a> - v1.5 and
v1.6 Open Charge Point Protocol implementation in Golang.</li>
<li><a href="https://github.com/ev-map/EVMap">EVMap</a> - Android app to
access the goingelectric.de electric vehicle charging station
directory.</li>
<li><a
href="https://github.com/SAP/emobility-smart-charging">emobility-smart-charging</a>
- Smart charging algorithms with REST API for electric vehicle
fleets.</li>
<li><a
href="https://github.com/chargeprice/open-ev-data">open-ev-data</a> -
Open Dataset of Electric Vehicle specs.</li>
<li><a
href="https://github.com/andmos/BikeshareClient">BikeshareClient</a> -
Dotnet library for integrating with GBFS bikeshare systems.</li>
<li><a href="https://github.com/mszell/bikenwgrowth">Growing Urban
Bicycle Networks</a> - Source code for the paper Growing Urban Bicycle
Networks, exploring algorithmically the limitations of urban bicycle
network growth.</li>
<li><a href="https://github.com/a-b-street/abstreet">A/B Street</a> - A
traffic simulation game exploring how small changes to roads affect
cyclists, transit users, pedestrians, and drivers.</li>
<li><a href="https://github.com/enviroCar/enviroCar-app">enviroCar</a> -
An Android App for collecting car sensor data for the enviroCar
platform.</li>
<li><a href="https://github.com/EVerest/everest">EVerest</a> - An open
source software stack for EV charging infrastructure from firmware to
cloud: OCPP, ISO 15118, SunSpec, Modbus, energy management and load
balancing and an entire flexible middle-ware framework based on MQTT.
Part of the Linux Foundation Energy ecosystem.</li>
<li><a href="https://github.com/streetmix/streetmix">Streetmix</a> -
Makes it easy for people to design public spaces together.</li>
<li><a href="https://github.com/3DStreet/3dstreet">3Dstreet</a> -
Creates 3D visualizations of your 2D Streetmix.net streets.</li>
<li><a
href="https://github.com/transitland/transitland-atlas">Transitland</a>
- An open data platform that collects GTFS, GTFS Realtime, and other
open data feeds from transit providers around the world.</li>
<li><a
href="https://github.com/cyclestreets/cyclestreets-r">cyclestreets</a> -
The goal of cyclestreets is to provide a simple R interface to the
CycleStreets routing service.</li>
<li><a href="https://github.com/bcgov/tfrs">Transportation Fuels
Reporting System</a> - An online application for fuel suppliers to
manage their compliance obligations under the Greenhouse Gas
Reduction.</li>
<li><a href="https://github.com/Traace-co/ev-footprint">EV Footprint</a>
- A simulation of the true impact on climate and CO2 emissions of an
electric car vs a traditional gasoline car.</li>
<li><a href="https://github.com/mobility-team/mobility">Mobility</a> -
An open-source solution to compute the carbon emissions due to the
mobility of a local population.</li>
<li><a href="https://github.com/rl-institut/spice_ev">SpiceEV</a> -
Simulation Program for Individual Charging Events of Electric
Vehicles.</li>
<li><a href="https://gitlab.com/eputs/ev-fleet-sim">EV Fleet
Simulator</a> - Predict the energy usage of a fleet of electric
vehicles.</li>
<li><a
href="https://github.com/aalto-electric-drives/motulator">motulator</a>
- Simulation models for an induction motor, a synchronous reluctance
motor, and a permanent-magnet synchronous motor.</li>
<li><a href="https://github.com/NREL/altrios">ALTRIOS</a> - Fully
integrated, open-source software tool to evaluate strategies for
deploying advanced locomotive technologies and associated infrastructure
for cost-effective decarbonization.</li>
</ul>
<h3 id="production-and-industry">Production and Industry</h3>
<ul>
<li><a
href="https://github.com/SAP-samples/btp-ai-sustainability-bootcamp">btp-ai-sustainability-bootcamp</a>
- Showcasing SAP partners how to add Intelligence and Sustainability
into your industry cloud solutions on SAP Business Technology
Platform.</li>
<li><a
href="https://github.com/ORNL-AMO/AMO-Tools-Desktop">AMO-Tools-Desktop</a>
- An energy efficiency calculation application for use with industrial
equipment such as pumps, furnaces, fans, and motors, as well as for
industrial systems such as steam.</li>
<li><a href="https://github.com/NREL/Industry-Energy-Tool">Industry
Energy Tool</a> - A calculator developed by NREL for projecting energy
efficiency and fuel switching scenarios for the U.S. industrial sector
energy use and emissions at the Census Region and county-level.</li>
<li><a href="https://github.com/openeemeter/caltrack">CalTRACK</a> -
Methods are developed in an open and transparent stakeholder process
that uses empirical testing to define replicable methods for calculating
normalized metered energy consumption using either monthly or interval
data from an existing conditions baseline.</li>
<li><a
href="https://github.com/OpenModelica/OpenModelica">OpenModelica</a> -
An open source Modelica-based modeling and simulation environment
intended for industrial and academic usage.</li>
</ul>
<h3 id="computation-and-communication">Computation and
Communication</h3>
<ul>
<li><a
href="https://github.com/green-coding-berlin/eco-ci-energy-estimation">Eco-CI</a>
- Estimating the energy consumption of CI / CD pipelines on GitHub and
GitLab.</li>
<li><a
href="https://github.com/green-coding-berlin/green-metrics-tool">Green
Metrics Tool</a> - An open source suite to measure, display and compare
software energy and CO2 consumption for containerized software. External
power meters as well as RAPL and also ML-estimation models are
supported.</li>
<li><a href="https://github.com/hubblo-org/scaphandre">Scaphandre</a> -
An open source software agent to track energy consumption of ICT
services from the servers.</li>
<li><a href="https://github.com/fvaleye/tracarbon">Tracarbon</a> -
Tracarbon tracks your device’s energy consumption and calculates your
carbon emissions using your location.</li>
<li><a href="https://gitlab.com/project-catalyst">H2020 CATALYST</a> -
Converting data centres in energy flexibility ecosystems.</li>
<li><a
href="https://github.com/greensoftwarelab/Energy-Languages">Energy-Languages</a>
- The complete set of tools for energy consumption analysis of
programming languages, using Computer Language Benchmark Game.</li>
<li><a
href="https://github.com/responsibleproblemsolving/energy-usage">energyusage</a>
- A Python package that measures the environmental impact of
computation.</li>
<li><a href="https://github.com/sosy-lab/cpu-energy-meter">CPU Energy
Meter</a> - A Linux tool that allows to monitor power consumption of
Intel CPUs at fine time intervals.</li>
<li><a href="https://github.com/powerapi-ng/powerapi">PowerAPI</a> - A
middleware toolkit for building software-defined power meters.</li>
<li><a href="https://github.com/marmelab/greenframe-cli">GreenFrame</a>
- A tool to measure the carbon footprint of a user scenario on a given
website application. GreenFrame is able to measure CPU, memory and
network usage of Docker or Kubernetes containers. By measuring resource
consumption of dockerized E2E tests, GreenFrame allows to compare the
consumption of an app between its different versions.</li>
<li><a
href="https://github.com/patch-technology/patch-node">patch-node</a> -
The road to global carbon-neutrality will be through programmatic
compensation.</li>
<li><a href="https://github.com/thegreenwebfoundation/co2.js">co2.js</a>
- A npm module for accessing the green web API, and estimating the
carbon emissions from using digital services.</li>
<li><a href="https://github.com/kylemcdonald/nvidia-co2">nvidia-co2</a>
- Adds gCO2eq emissions to nvidia-smi.</li>
<li><a
href="https://github.com/Organic-Basics/ob-low-impact-website">The Low
Impact Website</a> - Reduces data transfer by up to 70% in comparison to
our regular website.</li>
<li><a
href="https://github.com/cloud-carbon-footprint/cloud-carbon-footprint">Cloud
Carbon Footprint</a> - A tool to estimate energy use (kilowatt-hours)
and carbon emissions (metric tons CO2e) from public cloud usage.</li>
<li><a href="https://github.com/powerapi-ng/pyJoules">pyJoules</a> - A
software toolkit to measure the energy footprint of a host machine along
the execution of a piece of Python code.</li>
<li><a
href="https://github.com/GoogleCloudPlatform/region-carbon-info">Carbon
free energy for Google Cloud regions</a> - Contains sustainability
characteristics of Google Cloud regions in a machine readable
format.</li>
<li><a href="https://invent.kde.org/teams/eco/feep">FEEP</a> - Improve
the energy efficiency of free and open source software.</li>
<li><a href="https://github.com/dos-group/leaf">LEAF</a> - Simulator for
modeling energy consumption in cloud, fog, and edge computing
environments.</li>
<li><a
href="https://github.com/kylemcdonald/ethereum-nft-activity">ethereum-nft-activity</a>
- Estimate the total emissions for popular CryptoArt platforms.</li>
<li><a href="https://github.com/kube-green/kube-green">kube-green</a> -
A k8s operator to reduce CO2 footprint of your clusters.</li>
<li><a
href="https://github.com/sustainable-computing-io/kepler">Kepler</a> -
Uses eBPF to probe energy related system stats and exports as Prometheus
metrics.</li>
<li><a href="https://github.com/Green-Software-Foundation/sci">Software
Carbon Intensity Specification</a> - A specification that describes how
to calculate a carbon intensity for software applications.</li>
<li><a href="https://github.com/jawache/principles-green">Principles of
Green Software Engineering</a> - Are a core set of competencies needed
to define, build and run sustainable software applications.</li>
<li><a
href="https://github.com/thegreenwebfoundation/grid-intensity-go">grid-intensity-go</a>
- A tool written in go to help you factor carbon intensity into
decisions about where and when to run computing jobs.</li>
<li><a href="https://github.com/sb-ai-lab/Eco2AI">Eco2AI</a> - A Python
library which accumulates statistics about power consumption and CO2
emission during running code.</li>
<li><a href="https://github.com/mlco2/impact/">impact</a> - Compute your
ML model’s emissions with our calculator and add the results to your
paper with our generated LaTeX template.</li>
<li><a href="https://github.com/mlco2/codecarbon">CodeCarbon</a> - Track
emissions from Compute and recommend ways to reduce their impact on the
environment.</li>
<li><a
href="https://github.com/Breakend/experiment-impact-tracker">experiment-impact-tracker</a>
- Meant to be a simple drop-in method to track energy usage, carbon
emissions, and compute utilization of your system.</li>
<li><a
href="https://github.com/Boavizta/environmental-footprint-data">Environmental
Footprint Data</a> - Aims to reference as much data as possible to help
organizations to evaluate the environmental footprint of their
information systems, applications and digital services.</li>
<li><a
href="https://github.com/carbonalyser/Carbonalyser">Carbonalyser</a> -
Allows to visualize the electricity consumption and greenhouse gases
emissions that your Internet browsing leads to.</li>
<li><a href="https://github.com/lfwa/carbontracker">carbontracker</a> -
Track and predict the energy consumption and carbon footprint of
training deep learning models.</li>
<li><a href="https://github.com/daviddao/green-ai">green-ai</a> - The
Green AI Standard aims to develop a standard and raise awareness for
best environmental practices in AI research and development.</li>
<li><a
href="https://github.com/Green-Software-Foundation/carbon-aware-sdk/">Carbon
Aware SDK</a> - Helps you build the carbon aware software solutions with
the intelligence to use the greenest energy sources.</li>
<li><a
href="https://github.com/green-code-initiative/ecoCode">ecoCode</a> -
Reduce the environmental footprint of your programs with this
cutting-edge SonarQube plugin.</li>
<li><a href="https://github.com/joular/powerjoular">PowerJoular</a> -
Allows monitoring power consumption of multiple platforms and
processes.</li>
<li><a
href="https://github.com/GreenAlgorithms/green-algorithms-tool">Green
Algorithms</a> - Aims at promoting more environmentally sustainable
computational science.</li>
<li><a
href="https://github.com/envite-consulting/camunda-carbon-reductor">Camunda
Carbon Reductor</a> - Allows you to time shift your processes’ carbon
emissions when energy is clean while still fulfilling the requested
service level agreement.</li>
<li><a href="https://github.com/rollthecloudinc/quell">Quell</a> - The
Content Management Software that combats climate change stopping web
carbon production in its tracks.</li>
<li><a href="https://github.com/dos-group/vessim">Vessim</a> - It lets
users connect domain-specific simulators for energy system components
like renewable power generation, energy storage, and power flow analysis
with real software and hardware.</li>
<li><a href="https://github.com/cnumr/ecoindex_cli">Ecoindex_cli</a> -
This tool provides an easy way to analyze websites with Ecoindex from
your local computer using multi-threading.</li>
<li><a href="https://github.com/ml-energy/zeus">Zeus</a> - A Framework
for Deep Learning Energy Measurement and Optimization.</li>
<li><a href="https://github.com/Helmholtz-AI-Energy/perun">perun</a> -
Calculates the energy consumption of Python scripts by sampling usage
statistics from your hardware components.</li>
<li><a href="https://github.com/w3c/sustyweb">Web Sustainability
Guidelines</a> - The draft specification for our Web Sustainability
Guidelines and any supplementary documentation, including our
introduction to Web Sustainability.</li>
<li><a href="https://github.com/geopm/geopm">GEOPM</a> - Serves as a
framework for investigating energy and power optimizations geared
towards heterogeneous high performance computing platforms.</li>
<li><a href="https://github.com/Accenture/EcoSonar">EcoSonar</a> -
Enabling development teams to consider the environmental impact of
digital technology during development and to promote knowledge of best
eco-design and accessibility practices.</li>
<li><a href="https://github.com/dvelasquez/carbon-tools">Carbon
Tools</a> - A set of CO2 footprint tools to measure the impact of the
code we ship.</li>
<li><a href="https://github.com/cncf-tags/green-reviews-tooling">CNCF
Green Reviews WG</a> - Project Repository for the WG Green Reviews which
is part of the CNCF TAG Environmental Sustainability.</li>
<li><a href="https://github.com/HawkinsbrownArch/HBERT">HBERT</a> - A
open source Revit plug in that measure the embodied carbons of materials
applied within a Revit model.</li>
<li><a href="https://github.com/Boavizta/cloud-scanner">CloudScanner</a>
- Get Boavizta impact data for your AWS cloud account usage.</li>
</ul>
<h3 id="agriculture-and-nutrition">Agriculture and Nutrition</h3>
<ul>
<li><a href="https://github.com/FarmBot/Farmbot-Web-App">Farmbot</a> -
Humanity’s open-source CNC farming machine.</li>
<li><a href="https://github.com/lukasValentin/OBIA4RTM">OBIA4RTM</a> -
Aims for plant parameter retrieval - relevant in smart farming
applications - by using radiative transfer models and object-based image
analysis that directly addresses actual user needs and policy demands in
a highly efficient, flexible and scalable way.</li>
<li><a href="https://github.com/DSSAT/dssat-csm-os">DSSAT Cropping
System Model</a> - Has been used for many applications ranging from
on-farm and precision management to regional assessments of the impact
of climate variability and climate change.</li>
<li><a href="https://github.com/magpiemodel/magpie">MAgPIE</a> - Model
of Agricultural Production and its Impact on the Environment.</li>
<li><a
href="https://github.com/AgroCares/Open-Bodem-Index-Calculator">OBI</a>
- The Open-Bodem-Index-Calculator is a tool that evaluates the soil of
agricultural fields based on four main criteria: chemical, physical,
biological and management.</li>
<li><a href="https://github.com/PSUmodeling/Cycles">Cycles</a> - A daily
time-step agroecosystem model that simulates the biophysical processes
and management practices occurring within cropping systems and other
land uses.</li>
<li><a href="https://github.com/APSIMInitiative/ApsimX">ApsimX</a> - An
agricultural modeling framework used extensively worldwide.</li>
<li><a
href="https://github.com/ConservationInternational/resilienceatlas">Resilience
Atlas</a> - An interactive analytical tool for building understanding of
the extent and severity of some of the key stressors and shocks that are
affecting rural livelihoods, production systems, and ecosystems in the
Sahel, Horn of Africa and South and Southeast Asia.</li>
<li><a href="https://github.com/zalf-rpm/monica">monica</a> - A dynamic,
process-based simulation model which describes transport and
bio-chemical turn-over of carbon, nitrogen and water in
agro-ecosystems.</li>
<li><a href="https://github.com/openfarmcc/OpenFarm">OpenFarm</a> - A
free and open database and web application for farming and gardening
knowledge.</li>
<li><a href="https://github.com/kwstat/agridat">Agridat</a> - An
extensive collection of datasets from agricultural experiments.</li>
<li><a href="https://github.com/karrot-dev/karrot-frontend">Karrot</a> -
Web application for organization of foodsaving groups worldwide.</li>
<li><a
href="https://github.com/openfoodfoundation/openfoodnetwork">openfoodnetwork</a>
- An online marketplace for local food. It enables a network of
independent online food stores that connects farmers and food hubs with
individuals and local businesses.</li>
<li><a href="https://github.com/Ecohackerfarm/powerplant">powerplant</a>
- Provides intelligent planting suggestions which maximize positive crop
interaction for the mutual benefit of all your crops.</li>
<li><a href="https://github.com/treflehq/trefle-api">Trefle</a> - A
botanical JSON REST API for plants species, allowing you to search and
query over all the registered species, and build the next gardening apps
and farming robots.</li>
<li><a href="https://github.com/morkro/happy-plants">HappyPlants</a> -
Creating your own plant database in a visual way.</li>
<li><a
href="https://github.com/EduardoFernandezC/dormancyR">dormancyR</a> -
Provide alternatives to common chill models used in horticulture to
compute chill metrics in deciduous fruit tree orchards as well as
functions to handle weather data.</li>
<li><a href="https://github.com/efernandezpascual/seedr">seedr</a> - An
R package that provides functions to fit hydro and thermal time
germination models.</li>
<li><a href="https://github.com/kazulagi/plantFEM">plantFEM</a> - A
plant simulator based on Finite Element Method, which targets crops in
fields. This software provides multi-physical simulations of agriculture
for canopies, plants, and organs for farmers, breeders, and
agronomists.</li>
<li><a
href="https://github.com/openfoodfacts/openfoodfacts-server">openfoodfacts-server</a>
- Open Food Facts is a collaborative, free and open database of food
products from around the world.</li>
<li><a href="https://www.ramlegacy.org/">ramlegacy</a> - A compilation
of stock assessment results for commercially exploited marine
populations from around the world.</li>
<li><a href="https://github.com/fineprint-global/fabio">FABIO</a> -
Forestry and Agriculture Biomass Input-Output Tables.</li>
<li><a href="https://github.com/Growstuff/growstuff">Growstuff</a> -
Open source and open data platform that can predict when your plantings
will be ready to harvest.</li>
<li><a href="https://farmos.org/">FarmOS</a> - Open source web-based
application for farm management, planning, and record keeping.</li>
<li><a href="https://github.com/hmontazeri/is-vegan">Is-Vegan</a> -
Helps you to find out which food ingredients are vegan / non-vegan.</li>
<li><a href="https://github.com/hollorol/AgroMo">AgroMo</a> - An
Integrated Assessment and Modelling software that integrates a crop,
biogeochemical and a agro-economical model.</li>
<li><a href="https://github.com/nasaharvest/cropharvest">CropHarvest</a>
- Collects data from a variety of agricultural land use datasets and
remote sensing products.</li>
<li><a href="https://github.com/dl4sits/BreizhCrops">BreizhCrops</a> - A
Satellite Time Series Dataset for Crop Type Identification.</li>
<li><a href="https://github.com/frontendnetwork/veganify">Veganify</a> -
A multilingual progressive web app, which scans the EAN or UPC codes of
over 3.000.000 food- or non-food-products and simply tells you if it
they’re vegan or not.</li>
<li><a href="https://github.com/Sen2Agri/Sen2Agri-System">Sentinels for
Common Agriculture Policy</a> - Aims at providing to the European and
national stakeholders validated algorithms, products, workflows and best
practices for agriculture monitoring relevant for the management.</li>
<li><a href="https://github.com/maja601/EuroCrops">EuroCrops</a> - A
dataset collection combining all publicly available self-declared crop
reporting datasets from countries of the European Union.</li>
<li><a href="https://github.com/microsoft/farmvibes-ai">FarmVibes.AI</a>
- Can develop rich geospatial insights for agriculture and
sustainability.</li>
<li><a href="https://github.com/ARPA-SIMC/agrolib">agrolib</a> - A set
of libraries for agrometeorological modeling and climate analysis.</li>
<li><a
href="https://github.com/OpenDroneMap/FIELDimageR">FIELDimageR</a> - A
Tool to Analyze Images From Agricultural Field Trials and Lab in R.</li>
<li><a href="https://github.com/aquacropos/aquacrop">AquaCrop</a> - A
free open-source tool for assessing climate and water impacts on
agriculture.</li>
<li><a href="https://github.com/ajwdewit/pcse">PCSE</a> - A framework
developed for implementing crop simulation models developed in
Wageningen.</li>
<li><a href="https://github.com/AgrDataSci/climatrends">climatrends</a>
- Provides methods to compute precipitation and temperature indices for
climate models in ecology.</li>
<li><a
href="https://github.com/marcelo-soares-souza/Agroecology-Map">Agroecology-Map</a>
- A technological platform that allows the mapping and exchange of
Agroecological and Agroforestry experiences.</li>
<li><a href="https://github.com/JGCRI/osiris">osiris</a> - A R package
to process climate impacts on agricultural yields for the Global Change
Analysis Model.</li>
<li><a href="https://github.com/ncsu-landscape-dynamics/rpops">PoPS</a>
- This is the R package for simulating spread of pests and
pathogens.</li>
<li><a href="https://github.com/undpindia/dicra">DiCRA</a> - Provides
open access to key geospatial datasets pertinent to climate resilient
agriculture.</li>
<li><a
href="https://github.com/OpenOlitor/openolitor-server">OpenOlitor</a> -
Administration platform for Community Supported Agriculture and for
direct selling farming projects based on a subscription model.</li>
<li><a
href="https://github.com/hundredrabbits/Grimgrains">Grimgrains</a> - A
Plant-based cooking website.</li>
<li><a href="https://github.com/DPIRD-FSI/extractOz">extractOz</a> -
Extract the Global Runoff Data Centre agroecological zone, major soil
order and weather data from your GPS sampling points.</li>
<li><a href="https://github.com/gicait/PyAEZ">PyAEZ</a> - A python
package consisted of many algorithms related to Agro-ecological zoning
(AEZ) framework.</li>
<li><a href="https://github.com/ARPA-SIMC/CRITERIA3D">CRITERIA3D</a> -
Includes a numerical solution for three-dimensional water and heat flow
in the soil, coupled surface and subsurface flow, meteorological data
interpolation, radiation budget, crop development and crop water
uptake.</li>
<li><a href="https://github.com/ARPA-SIMC/CRITERIA1D">CRITERIA1D</a> -
Agro-hydrological model that simulates one-dimensional water flow in
variable saturation soils, crop development, root water extraction and
irrigation water needs.</li>
<li><a href="https://github.com/Orion-AI-Lab/S4A">S4A</a> - A Sentinel-2
multi-year, multi-country benchmark dataset for crop classification and
segmentation with deep learning.</li>
<li><a href="https://github.com/LiteFarmOrg/LiteFarm">LiteFarm</a> - A
platform joining farmers and scientists together for participatory
assessment of social, environmental and economic outputs of farming
systems.</li>
<li><a
href="https://gitlab.com/bioeconomy/forobs/biotrade/">biotrade</a> -
Analyses international trade of bio-based products with a focus on the
agriculture and forestry sectors.</li>
<li><a href="https://github.com/woodcrafty/PyETo">PyETo</a> - A Python
library for calculating reference crop evapotranspiration, sometimes
referred to as potential evapotranspiration.</li>
<li><a href="https://github.com/VEZY/DynACof">DynACof</a> -
Process-based model computes plot-scale Net Primary Productivity, carbon
allocation, growth, yield, energy, and water balance of coffee
plantations according to management.</li>
<li><a
href="https://github.com/WorldCereal/worldcereal-classification">WorldCereal</a>
- An efficient, agile and robust EO based system for timely global crop
monitoring at field scale.</li>
<li><a href="https://github.com/Project-AgML/AgML">AgML</a> - Provides
access to public agricultural datasets for common agricultural deep
learning tasks, with standard benchmarks and pretrained models, as well
the ability to generate synthetic data and annotations.</li>
<li><a href="https://github.com/flauschtrud/broccoli">Broccoli</a> - A
free eco-friendly recipe app for building your recipe collection,
distraction free cooking and seasonal ingredients.</li>
<li><a href="https://codeberg.org/adamhsparks/epicrop">epicrop</a> -
Simulation modelling of crop diseases using a
Susceptible-Exposed-Infectious-Removed (SEIR) model in R.</li>
<li><a href="https://github.com/ropensci/rnassqs">rnassqs</a> - Allows
users to access the USDA’s National Agricultural Statistics Service
Quick Stats data through their API.</li>
<li><a
href="https://gitlab.com/foodsharing-dev/foodsharing">foodsharing</a> -
A platform and initiative against food waste.</li>
<li><a
href="https://github.com/precision-sustainable-ag/dst-selector">Cover
Crop Species Selector</a> - Used to help farmers select a cover crop
that fits their goals and constraints.</li>
<li><a
href="https://github.com/Open-Agriculture/AgIsoStack-plus-plus">AgIsoStack-plus-plus</a>
- ISO-11783 stack for smart agricultural machinery communication.</li>
<li><a href="https://github.com/teikei/teikei">Teikei</a> - A web
application and API that maps out community-supported agriculture in
Germany, Switzerland, and Austria, based on crowdsourced data.</li>
<li><a
href="https://github.com/AgriculturalModelExchangeInitiative/PyCrop2ML">PyCrop2ML</a>
- A free, open-source library for defining and sharing CropML models
used to represent the various biological processes involved in crop
models.</li>
<li><a href="https://github.com/cropbox/Cropbox.jl">Cropbox.jl</a> -
Provides a domain specific language for developing crop models.</li>
<li><a href="https://github.com/USDA-ARS-ACSL/MAIZSIM">MAIZSIM</a> - A
mechanistic model of maize growth, development and yield.</li>
<li><a href="https://github.com/reagro/carob">Carob</a> - Create
reproducible workflows that reshape primary agricultural research data
from experiments and surveys into a standard format, and to aggregate
individual data sets into larger collections that can be used in further
research.</li>
</ul>
<h2 id="emissions">Emissions</h2>
<h3 id="carbon-intensity-and-accounting">Carbon Intensity and
Accounting</h3>
<ul>
<li><a href="https://github.com/NMF-earth/nmf-app">NMF.earth app</a> -
iOS &amp; Android app to understand and reduce your carbon
footprint.</li>
<li><a
href="https://github.com/energyPATHWAYS/EnergyPATHWAYS">EnergyPATHWAYS</a>
- The energyPATHWAYS Model is a professional, open source energy and
carbon planning tool for use in evaluating long-term, economy-wide
greenhouse gas mitigation scenarios.</li>
<li><a
href="https://github.com/opentaps/blockchain-carbon-accounting">blockchain-carbon-accounting</a>
- Code of the Carbon Accounting and Certification Working Group.</li>
<li><a href="https://github.com/acircleda/footprint">footprint</a> - An
R package to calculate carbon footprints from air travel based on IATA
airport codes or latitude and longitude.</li>
<li><a href="https://github.com/KKulma/intensegRid">intensegRid</a> -
Provides information on national and regional carbon intensity, the
amount of carbon emitted per unit of energy consumed, for the UK.</li>
<li><a
href="https://github.com/jnioche/carbonintensity-api">carbonintensity-api</a>
- Rust library to retrieve regional carbon intensity data from the UK
National Grid.</li>
<li><a href="https://github.com/GranthamImperial/silicone">Silicone</a>
- Automated filling of detail in reported emission scenarios.</li>
<li><a
href="https://github.com/Open-Earth-Foundation/OpenClimate">OpenClimate</a>
- Independent Climate Accounting Network in support of Paris Agreement
goals.</li>
<li><a href="https://github.com/scope3data/methodology">Scope3</a> -
Build a framework where the media and advertising industry can
collaborate on best practices for measuring emissions from the
advertising value chain.</li>
<li><a href="https://github.com/UNSW-CEEM/NEMED">NEMED</a> - A python
package to retrieve and process historical emissions data of the
National Electricity Market, reproduced by datasets published by the
Australian Energy Market Operator.</li>
<li><a href="https://github.com/RMI/steel-guidance">Steel Emissions
Reporting Guidance</a> - RMI’s steel emissions accounting and data
exchange guidance.</li>
<li><a href="https://github.com/IDEMSInternational/carbonr">carbonr</a>
- A package in R to conveniently calculate carbon-equivalent
emissions.</li>
<li><a
href="https://github.com/pledge4future/WePledge">Pledge4Future</a> -
Allows you to calculate your work related CO2e emissions from heating
and electricity consumptions as well as business trips and
commuting.</li>
<li><a href="https://github.com/google/travel-impact-model">Travel
Impact Model</a> - Describes the modeling assumptions and input
specifications behind the Travel Impact Model (TIM), a state of the art
emission estimation model that Google’s Travel Sustainability team has
compiled from several external data source.</li>
<li><a
href="https://docs.google.com/spreadsheets/d/19MQbZbrCu4HpAWe6NU92CioYQ7KE8FvD9vl-r9qSjJg/">Profit
and emission database</a> - A free public database on large corporate
emissions and profits.</li>
<li><a href="https://github.com/ec0lint/ec0lint">ec0lint</a> - A static
code analysis tool that provides users with hints on how to reduce the
carbon footprint of their websites during the development process.</li>
<li><a
href="https://github.com/Azure/kubernetes-carbon-intensity-exporter">Kubernetes
Carbon Intensity Exporter</a> - Provides a data exporter by which
Kubernetes operators can leverage the carbon intensity data from 3rd
party for carbon-aware workload scheduling.</li>
<li><a
href="https://github.com/tmrowco/electricitymap-contrib">Electricity
Maps</a> - A real-time visualization of the CO2 emissions from
electricity consumption.</li>
<li><a
href="https://github.com/singularity-energy/open-grid-emissions">Open
Grid Emissions Initiative</a> - Seeks to fill a critical need for
high-quality, publicly-accessible, hourly grid emissions data that can
be used for GHG accounting, policymaking, academic research, and energy
attribute certificate markets.</li>
<li><a
href="https://github.com/jdechalendar/gridemissions">gridemissions</a> -
Displays the hourly carbon footprint of the US electricity system.</li>
<li><a href="https://github.com/sede-open/pyELQ">pyELQ</a> - Detect,
localize, and quantify methane emissions from concentration and wind
measurements.</li>
</ul>
<h3 id="carbon-offsets-and-trading">Carbon Offsets and Trading</h3>
<ul>
<li><a href="https://github.com/carbonplan/cdr-database">Carbon Dioxide
Removal Database</a> - Open science reports on carbon removal projects
and technologies.</li>
<li><a href="https://github.com/undp/carbon-registry">National Carbon
Credit Registry</a> - As an online database using national and
international standards for quantifying and verifying greenhouse gas
emissions reductions by programmes.</li>
<li><a
href="https://github.com/carbonplan/forest-risks">forest-risks</a> -
Statistical models of forest carbon potential and risks.</li>
<li><a href="https://github.com/hashgraph/guardian">Guardian</a> -
Provides auditable, traceable, reproducible records that document the
emission process and lifecycle of carbon credits, which reduce fraud in
the ESG market.</li>
<li><a href="https://github.com/ncx-co/ifm_deferred_harvest">NCX Harvest
Deferral Methodology</a> - Documents, Data, and Code for the NCX
Methodology For Improved Forest Management Through Short-Term Harvest
Deferral.</li>
<li><a href="https://github.com/sykefi/PRTR">PRTR</a> - A project for
handling the European Pollutant Release and Transfer Register (E-PRTR)
data and publishing it as a national web service.</li>
<li><a href="https://github.com/OSUKED/ETS-Watch">ETS-Watch</a> -
Provides a Python client for retrieving the latest data on the EU
Emissions Trading System market and its participants.</li>
<li><a
href="https://github.com/g-dolphin/WorldCarbonPricingDatabase">World
Carbon Pricing Database</a> - This dataset contains information on
carbon pricing mechanisms (carbon taxes or cap-and-trade) introduced
around the world since 1990.</li>
<li><a href="https://github.com/DrafProject/elmada">elmada</a> - Dynamic
electricity carbon emission factors and prices for Europe.</li>
<li><a
href="https://gitlab.com/bioeconomy/eu_cbm/eu_cbm_hat">eu_cbm_hat</a> -
Enables the assessment of forest CO2 emissions and removals under
scenarios of forest management, natural disturbances and forest-related
land use changes.</li>
</ul>
<h3 id="carbon-capture">Carbon Capture</h3>
<ul>
<li><a
href="https://github.com/ClimateMARGO/ClimateMARGO.jl">ClimateMARGO.jl</a>
- A Julia implementation of MARGO, an idealized framework for
optimization of climate change control strategies.</li>
<li><a
href="https://github.com/OceanBioME/OceanBioME.jl">OceanBioME.jl</a> - A
tool to study the effectiveness and impacts of ocean carbon dioxide
removal strategies.</li>
<li><a href="https://github.com/hsbay/cdrmex">CDRMEx</a> - Carbon
Dioxide Removal Modeling Experiments.</li>
<li><a href="https://gitlab.com/NRAP/OpenIAM">OpenIAM</a> - An open
source integrated assessment model developed by National Risk Assessment
Partnership Phase II to facilitate risk assessment, management and
containment assurance for geologic carbon sequestration projects.</li>
<li><a href="https://github.com/CCSI-Toolset/FOQUS">FOQUS</a> -
Framework for Optimization and Quantification of Uncertainty and
Surrogates.<!--lint ignore awesome-spell-check--></li>
<li><a href="https://github.com/GEOS-DEV/GEOS">GEOS</a> - A simulation
framework for modeling coupled flow, transport, and geomechanics in the
subsurface.</li>
</ul>
<h3 id="emission-observation-and-modeling">Emission Observation and
Modeling</h3>
<ul>
<li><a href="https://carbonmapper.org/">Carbon Mapper</a> - Accelerate
local climate action globally by locating, quantifying and tracking
methane leaks and CO2 point-sources from space.</li>
<li><a href="https://github.com/bcgov/ghg-emissions-indicator">ghg
emissions indicator</a> - R scripts for a greenhouse gases emissions
indicator published on Environmental Reporting British Columbia.</li>
<li><a
href="https://git.iws.uni-stuttgart.de/dumux-repositories/dumux">DuMux</a>
- Based on the DUNE framework and aims to provide a multitude of
numerical models as well as flexible discretization methods for complex
non-linear phenomena, such as CO2 sequestration, soil remediation, drug
delivery in cancer therapy and more.</li>
<li><a
href="https://github.com/dataforgoodfr/batch7_satellite_ges/">oco2peak</a>
- The goal of our project is to localize CO2 emissions on Earth based on
the carbon concentration data measured by the OCO-2 Satellite from
NASA.</li>
<li><a href="https://www.che-project.eu/data-portal">CO2 Emission
Datasets</a> - The CHE Data Portal provides an interface to the
distributed data used and made available through the project, either as
input data sets or as resulting data sets.</li>
<li><a
href="https://github.com/openclimatedata/global-carbon-budget">Global
Carbon Budget</a> - An annual living data publication of carbon cycle
sources and sinks, generated from multiple data sources and by multiple
organisations and research groups.</li>
<li><a
href="https://github.com/emissions-api/emissions-api">emissions-api</a>
- A solution that provides simple access to emissions data of
climate-relevant gases.</li>
<li><a href="https://github.com/atmoschem/eixport">eixport</a> - An R
package that provides functions to read emissions from VEIN and from
other models in different formats and export the emissions into the
appropriate format suitable to other models.</li>
<li><a href="https://github.com/atmoschem/EmissV">EmissV</a> - This
package provides some methods to create emissions (with a focus on
vehicular emissions) for use in numeric air quality models such as
WRF-Chem.</li>
<li><a href="https://gitlab.com/ibarraespinosa/vein">vein</a> - An R
package to estimate Vehicular Emissions INventories.</li>
<li><a href="https://github.com/JGCRI/CEDS">The Community Emissions Data
System</a> - Produces consistent estimates of global air emissions
species over the industrial era (1750 - present).</li>
<li><a href="https://github.com/quishqa/PyChEmiss">PyChEmiss</a> - A
Python script to create the wrfchemi file from local emissions needed to
run WRF-Chem model.</li>
<li><a href="https://github.com/owid/co2-data">co2-data</a> - Data on
CO2 and greenhouse gas emissions by Our World in Data.</li>
<li><a href="https://github.com/uataq/X-STILT">X-STILT</a> - An
atmospheric transport model that deals with vertically integrated column
CO2 and potentially other trace gases.</li>
<li><a href="https://github.com/uataq/stilt">stilt</a> - An open source
Lagrangian particle dispersion model which is widely used to simulate
the transport of pollution and greenhouse gases through the
atmosphere.</li>
<li><a href="https://github.com/openghg/openghg">OpenGHG</a> - A cloud
platform for greenhouse gas data analysis and collaboration.</li>
<li><a href="https://github.com/OpenCarbonWatch/Website">Open Carbon
Watch</a> - We monitor greenhouse gases emission reports published by
organizations, along with their legal obligations and their own
commitments, and track them over time.</li>
<li><a
href="https://github.com/satish1901/Methane-detection-from-hyperspectral-imagery">Methane-detection-from-hyperspectral-imagery</a>
- Deep Learning based Remote Sensing Methods for Methane Detection in
Airborne Hyperspectral Imagery.</li>
<li><a href="https://methane.jpl.nasa.gov/">Methane Source Finder</a> -
Explore, analyze, and download methane plumes detected from airborne
platforms on an interactive map alongside VISTA infrastructure, gridded
methane estimates, and other additional data layers.</li>
<li><a
href="https://github.com/CMU-CREATE-Lab/deep-smoke-machine">deep-smoke-machine</a>
- Deep learning models and dataset for recognizing industrial smoke
emissions.</li>
<li><a
href="https://github.com/Ribbit-Network/ribbit-network-frog-hardware">Ribbit
Network Frog Sensor</a> - The sensor for the world’s largest
crowdsourced network of open-source, low-cost, CO2 Gas Detection
Sensors.</li>
<li><a href="https://github.com/tianjialiu/FIRECAM">FIRECAM</a> - An
online app for end-users to diagnose and explore regional differences in
fire emissions from five global fire emissions inventories.</li>
<li><a href="https://github.com/mmb-carb/ESTA">ESTA</a> - A command-line
tool for processing raw emissions data into spatially and
temporally-allocated emissions inventories, suitable for photochemicaly
modeling or other analysis.</li>
<li><a href="https://github.com/milankl/FlyingClimate">FlyingClimate</a>
- Model the CO2 and non-CO2 effects like nitrogen oxide emissions and
contrail formation to analyse aviation’s total warming footprint.</li>
<li><a
href="https://github.com/HSG-AIML/IndustrialSmokePlumeDetection">Industrial
Smoke Plume Detection</a> - Characterization of Industrial Smoke Plumes
from Remote Sensing Data.</li>
<li><a href="https://edgar.jrc.ec.europa.eu/">EDGAR</a> - Emissions
Database for Global Atmospheric Research.</li>
<li><a href="https://openghgmap.net/">OpenGHGMap</a> - A city-level CO2
emissions inventory for Europe.</li>
<li><a href="https://github.com/ICOS-Carbon-Portal/pylib">Integrated
Carbon Observation System</a> - Produces standardised data on greenhouse
gas concentrations in the atmosphere, as well as on carbon fluxes
between the atmosphere, the earth and oceans.</li>
<li><a
href="https://www.cgfi.ac.uk/spatial-finance-initiative/geoasset-project/geoasset-databases/">Global
Database of Cement, Iron and Steel Production Assets</a> - The Global
Database of Cement, Iron and Steel Production Assets provides
information on global cement production plants that are operational
today.</li>
<li><a href="https://github.com/fossilfuelregistry/portal-v2">The Global
Registry of Fossil Fuels</a> - Open Source database of oil, gas and coal
production and reserves globally, expressed in CO2-equivalent.</li>
<li><a
href="https://github.com/lzhenn/easy-era5-trck">Easy-ERA5-Trck</a> - A
super lightweight Lagrangian model for calculating millions of
trajectories using ERA5 data.</li>
<li><a href="https://carbonmonitor-graced.com/">GRACED</a> -
Near-real-time Global Gridded Daily CO2 Emissions Dataset from fossil
fuel and cement production with a global spatial resolution of 0.1° by
0.1° and a temporal resolution of 1 day.</li>
<li><a href="https://github.com/icra/ecam">ECAM</a> - Water and
wastewater utility operators can assess their greenhouse gas emissions
and energy consumption.</li>
<li><a href="https://github.com/USEPA/emf">Emissions Modeling
Framework</a> - A client-server system designed to store information
related to emissions modeling, with integrated quality control
processes.</li>
<li><a href="https://github.com/USEPA/EPA_MOVES_Model">MOVES</a> - A
state-of-the-science emission modeling system that estimates emissions
for mobile sources at the national, county, and project level for
criteria air pollutants, greenhouse gases, and air toxics, available
under EPA’s Open Source Software policy.</li>
<li><a
href="https://github.com/USEPA/EPA_ALPHA_Model">EPA_ALPHA_Model</a> -
Evaluate the Greenhouse Gas emissions of Light-Duty vehicles.</li>
<li><a href="https://github.com/ipeaGIT/gtfs2emis">gtfs2emis</a> -
Estimating public transport emissions from GTFS data.</li>
<li><a href="https://github.com/geoschem/HEMCO">HEMCO</a> - Computing
atmospheric emissions from different sources, regions, and species on a
user-defined grid.</li>
<li><a
href="https://github.com/UCSB-VRL/MethaneMapper-Spectral-Absorption-aware-Hyperspectral-Transformer-for-Methane-Detection">MethaneMapper</a>
- A fast and accurate deep learning based solution for methane detection
from airborne hyperspectral imagery.</li>
<li><a href="https://github.com/tum-esm/pyra">Pyra</a> - Automated
EM27/SUN Greenhouse Gas Measurement Software.</li>
<li><a
href="https://github.com/nasa/EMIT-Data-Resources">EMIT-Data-Resources</a>
- Built to help scientists understand how dust affects climate, the EMIT
can also pinpoint emissions of the potent greenhouse gas.</li>
<li><a
href="https://github.com/geoschem/integrated_methane_inversion">Integrated
Methane Inversion</a> - Contains the source code for setting up and
running the Integrated Methane Inversion with GEOS-Chem.</li>
<li><a href="https://github.com/equinor/ecalc">eCalc</a> - A software
tool for calculation of energy demand and greenhouse gas emissions from
oil and gas production and processing.</li>
<li><a
href="https://github.com/carbonplan/forest-offsets">forest-offsets</a> -
Includes our libraries and scripts for analyzing California’s compliance
forest carbon offsets program.</li>
<li><a
href="https://github.com/energyandcleanair/fossil_shipment_tracker">Fossil
Shipment Tracker</a> - A data platform that provides decision-makers,
journalists and campaigning organizations with information that helps
identify fossil fuel shipments from Russia.</li>
<li><a href="https://github.com/pik-primap/unfccc_di_api">UNFCCC DI
API</a> - Data access to the total greenhouse gas emissions by country
reported to the United Nations Framework Convention on Climate Change
(UNFCCC).</li>
<li><a href="https://github.com/spaceml-org/STARCOP">STARCOP</a> -
Semantic Segmentation of Methane Plumes with Hyperspectral Machine
Learning models.</li>
<li><a href="https://github.com/USEPA/cam-api-portal">Clean Air Markets
API Portal</a> - A suite of API’s that EPA’s Clean Air Markets Division
provides to access the data collected to run programs designed to reduce
air pollution from power plants.</li>
<li><a href="https://github.com/Qepanna/goFlux">goFlux</a> - A
user-friendly way to calculate greenhouse gas fluxes in soil yourself,
regardless of user experience.</li>
<li><a
href="https://github.com/Klimatbyran/klimatkollen">Klimatkollen</a> - A
web application that displays emissions within municipalities in Sweden,
along with a machine learning data pipeline under development, which
will find, extract, and list emissions from companies.</li>
<li><a
href="https://gitlab.com/bonsamurais/bonsai/util/ipcc">bonsai_ipcc</a> -
Enables users to calculate national greenhouse gas (GHG) inventories
based on the guidelines provided by the International Panel on Climate
Change.</li>
</ul>
<h2 id="industrial-ecology">Industrial Ecology</h2>
<h3 id="life-cycle-assessment">Life Cycle Assessment</h3>
<ul>
<li><a href="https://www.exiobase.eu/">exiobase</a> - A global and
detailed Multi-Regional Environmentally Extended Supply-Use Table
(MR-SUT) and Input-Output Table (MR-IOT).</li>
<li><a href="https://github.com/BONSAMURAIS/bonsai">bonsai</a> - The aim
of BONSAI is to make reliable, unbiased sustainability information on
products (product footprints) readily and freely available whenever and
wherever it is needed to support product comparisons and decisions.</li>
<li><a href="https://github.com/brightway-lca/brightway2">brightway2</a>
- An open source framework for life cycle assessment.</li>
<li><a
href="https://github.com/LCA-ActivityBrowser/activity-browser">Activity
Browser</a> - An open source and free software for Life Cycle Assessment
extending the brightway2 framework.</li>
<li><a href="https://gitlab.com/eaternity/eos">EOS-AYCE</a> -
Eaternity’s software platform serving as an open-source environmental
operating system (EOS) for all you can eat (AYCE) for climate.</li>
<li><a href="https://github.com/romainsacchi/carculator">carculator</a>
- Prospective environmental and economic life cycle assessment of
vehicles made blazing fast.</li>
<li><a href="https://github.com/USEPA/ElectricityLCI">Electricity Life
Cycle Inventory</a> - A Python package that uses standardized facility
release and generation data to create regionalized life cycle inventory
(LCI) models for the generation, mix of generation, mix of consumption,
and distribution of electricity to end users for the US, with embedded
system processes of upstream fuel production and infrastructure.</li>
<li><a
href="https://github.com/uslci-admin/uslci-content">uslci-content</a> -
Supplementary content for the U.S. Life Cycle Inventory Database.</li>
<li><a href="https://github.com/GreenDelta/olca-app">OpenLCA</a> - An
open source and free software for Sustainability and Life Cycle
Assessment.</li>
<li><a
href="https://github.com/GreenDelta/openlca-python-tutorial">openlca-python-tutorial</a>
- Explains the usage of the openLCA API from Python.</li>
<li><a href="https://www.globallcadataaccess.org/">Global LCA Data
Access Network</a> - Gathers life cycle dataset providers and other
stakeholders who share the goal of improving sustainability-related
decisions through enhanced, interoperable and global access to LCA
datasets.</li>
<li><a href="https://github.com/scyjth/biosteam_lca">BioSTEAM_LCA</a> -
An agile life cycle assessment platform that enables a fast and flexible
evaluation of the life cycle environmental impacts of biorefineries
under uncertainty.</li>
<li><a href="https://www.lcacommons.gov/">Federal LCA Commons</a> - A
central point of access to a collection of data repositories for use in
Life Cycle Assessment.</li>
<li><a href="https://github.com/Vizzuality/trase">Trase</a> - Brings
unprecedented transparency to commodity supply chains revealing new
pathways towards achieving a deforestation-free economy.</li>
<li><a href="https://github.com/QSD-Group/QSDsan">QSDsan</a> - A package
for the quantitative sustainable design of sanitation and resource
recovery systems.</li>
<li><a href="https://github.com/polca/premise">premise</a> - Coupling
Integrated Assessment Models output with Life Cycle Assessment.</li>
<li><a href="https://github.com/USEPA/useeior">useeior</a> - Estimating
potential environmental impacts of goods and services in the US
economy.</li>
<li><a
href="https://github.com/USEPA/Federal-LCA-Commons-Elementary-Flow-List">fedelemflowlist</a>
- A Python package that generates and provides a standardized elementary
flow list for use in life cycle assessment (LCA) data as well as
mappings to convert data from other sources.</li>
<li><a href="https://github.com/IndEcol/pymrio">pymrio</a> -
Multi-Regional Input-Output Analysis in Python.</li>
<li><a href="https://github.com/USEPA/flowsa">flowsa</a> - Library that
attributes resource use, waste, emissions, and loss to economic
sectors.</li>
<li><a href="https://github.com/USEPA/LCIAformatter">LCIA formatter</a>
- A Python tool for standardizing the format and flows of life cycle
impact assessment data.</li>
<li><a href="https://github.com/ocni-dtu/lcax">LCAx</a> - The goal for
LCAx is to make an open, machine and human-readable data format for
exchanging LCA results, EPD’s and assemblies.</li>
<li><a href="https://github.com/MTES-MCT/ecobalyse">ecobalyse</a> -
Ecobalyse makes it possible to understand and calculate the ecological
impacts of the products distributed in France.</li>
<li><a
href="https://github.com/oie-mines-paristech/lca_algebraic">lca_algebraic</a>
- This library is a small layer above brightway2, designed for the
definition of parametric inventories with fast computation of LCA
impacts, suitable for monte-carlo analyis.</li>
<li><a href="https://github.com/maximeagez/pylcaio">pyLCAIO</a> - An
object class to hybridize lifecycle assessment and environmentally
extended input-output (EEIO) databases.</li>
<li><a href="https://github.com/uncefact/project-crm">UN/CEFACT CRM</a>
- Critical raw materials traceability &amp; transparency project.</li>
<li><a href="https://github.com/NFrancart/doughnut-biotool">Doughnut
Biotool</a> - A tool to calculate a building project’s impacts on
biodiversity over the entire life cycle.</li>
<li><a href="https://github.com/Bonface-Osoro/saleos">saleos</a> -
Sustainability Analytics for Low Earth Orbit Satellites.</li>
<li><a href="https://github.com/it-is-me-mario/MARIO">MARIO</a> -
Perform impact analysis using regional input-output tables and
models.</li>
</ul>
<h3 id="circular-economy-and-waste">Circular Economy and Waste</h3>
<ul>
<li><a href="https://github.com/ONEARMY/precious-plastic">ONEARMY</a> -
A series of tools for the Precious Plastic community to collaborate
around the world and tackle plastic waste.</li>
<li><a
href="https://conservancy.umn.edu/handle/11299/214366">Trash-ICRA19</a>
- A Bounding Box Labeled Dataset of Underwater Trash.</li>
<li><a href="https://github.com/pedropro/TACO">TACO</a> - Trash
Annotations in Context Dataset Toolkit.</li>
<li><a
href="https://github.com/circularfashion/cf-circularity-id-standard">circularity.ID
Open Data Standard</a> - The standard represents the results and
findings of an extensive six-year research into the needs of
stakeholders in the fashion industry to achieve a circular economy.</li>
<li><a href="https://github.com/sangminwoo/RecycleNet">RecycleNet</a> -
Effective trash classification model using only a small number of
annotated images.</li>
<li><a href="https://github.com/garythung/trashnet">trashnet</a> -
Dataset of images of trash. Torch-based CNN for garbage image
classification.</li>
<li><a
href="https://github.com/OpenLitterMap/openlittermap-web">OpenLitterMap</a>
- An open, interactive and accessible database of the world’s litter and
plastic pollution.</li>
<li><a href="https://www.appropedia.org/Recyclebot">Recyclebot</a> - An
open source waste plastic extruder that creates 3D printer filament from
waste plastic and natural polymers.</li>
<li><a href="https://github.com/CMLPlatform/pycirk">pycirk</a> - Model
Circular Economy policy and technological interventions in
Environmentally Extended Input-Output Analysis.</li>
<li><a
href="https://github.com/WWF-Deutschland/marine-plastic-explorer">Global
Plastic Navigator</a> - Visualises the most recent and high-resolution
data of current scientific publications on marine plastic
pollution.</li>
<li><a
href="https://github.com/NASA-IMPACT/marine_debris_ML">marine_debris_ML</a>
- Marine debris detection with commercial satellite imagery and deep
learning.</li>
<li><a
href="https://github.com/TheOceanCleanupAlgorithms/ADVECT">ADVECT</a> -
A whole-ocean marine debris transport model which is built to handle
millions of particles and terabytes of data.</li>
<li><a
href="https://github.com/surfriderfoundationeurope/The-Plastic-Origins-Project">Surfrider
Plastic Origins</a> - A citizen science project that uses AI to map
plastic pollution in European rivers and share its data publicly.</li>
<li><a
href="https://github.com/marine-debris/marine-debris.github.io">MARIDA</a>
- A marine debris-oriented dataset on Sentinel-2 satellite images.</li>
<li><a href="https://github.com/wimlds-trojmiasto/detect-waste">Detect
waste</a> - Detecting plastic waste in the environment to combat
environmental pollution and promote circular economy.</li>
<li><a
href="https://github.com/santiago-sanitation-systems/Santiago.jl">Santiago.jl</a>
- A Julia package to generate appropriate sanitation system
options.</li>
<li><a href="https://github.com/CMLPlatform/ramascene">RaMa-Scene</a> -
RaMa-Scene a web-platform to analyse Environmentally Extended
Input-Output data and generate scenarios.</li>
<li><a href="https://github.com/SwolfPy-Project/swolfpy">SwolfPy</a> - A
free, multi-platform, Python-based, open-source, SWM LCA optimization
framework with built-in parametric and Monte Carlo sensitivity and
uncertainty analysis capabilities.</li>
<li><a href="https://github.com/TrashMob-eco/TrashMob">TrashMob</a> - A
website dedicated to organizing groups of people to clean up the world
we live in. Users create cleanup events, publicize them, and recruit
people to join up, as well as ask for assistance from communities and
partners.</li>
<li><a href="https://github.com/USEPA/haztrak">Haztrak</a> - A web
application that aims to illustrate how hazardous waste management
software can interface with EPA’s e-Manifest systems to track hazardous
waste electronically from cradle-to-grave.</li>
<li><a
href="https://github.com/wincowgerDEV/OpenSpecy-package">OpenSpecy</a> -
Raman and (FT)IR spectral analysis tool for plastic particles and other
environmental samples.</li>
<li><a href="https://github.com/xapple/waste_flow">waste_flow</a> - A
python package for retrieving and analyzing data concerning the waste
management of European countries.</li>
<li><a href="https://github.com/the-clothing-loop/website">The Clothing
Loop</a> - An initiative that offers an easy way for people to swap
clothes with others in their own neighborhood.</li>
<li><a href="https://github.com/prommis/prommis">prommis</a> - Process
Optimization and Modeling for Minerals Sustainability.</li>
</ul>
<h2 id="biosphere">Biosphere</h2>
<h3 id="biodiversity-and-species-distribution">Biodiversity and Species
Distribution</h3>
<ul>
<li><a href="https://github.com/ropensci/rgbif">rgbif</a> - Interface to
the Global Biodiversity Information Facility API.</li>
<li><a href="https://github.com/ropensci/taxize">taxize</a> - Allows
users to search over many taxonomic data sources for species names
(scientific and common) and download up and downstream taxonomic
hierarchical information.</li>
<li><a
href="https://github.com/globalbioticinteractions/globalbioticinteractions">Global
Biotic Interactions</a> - Global Biotic Interactions provides access to
existing species interaction datasets.</li>
<li><a href="https://github.com/ropensci/rredlist">rredlist</a> - An R
client for the IUCN Red List of threatened and endangered species.</li>
<li><a href="https://github.com/GreenswayAB/BIRDS">BIRDS</a> - This set
of tools has been developed for systematizing biodiversity data review
in order to evaluate whether a set of species observation are
fit-for-use and help take decisions upon its use on further
analysis.</li>
<li><a href="https://github.com/ropensci/spocc">spocc</a> - An R package
to query and collect species occurrence data from many sources.</li>
<li><a href="https://github.com/iobis/robis/">robis</a> - Build and
maintain a global alliance that collaborates with scientific communities
to facilitate free and open access to, and application of, biodiversity
and biogeographic data and information on marine life.</li>
<li><a
href="https://github.com/red-list-ecosystem/redlistr">redlistr</a> - An
R package that contains a set of tools suitable for calculating the
metrics required for making assessments of species and ecosystems
against the IUCN Red List of Threatened Species and the IUCN Red List of
Ecosystems categories and criteria.</li>
<li><a href="https://github.com/AtlasOfLivingAustralia/ALA4R">ALA4R</a>
- The Atlas of Living Australia provides tools to enable users of
biodiversity information to find, access, combine and visualise data on
Australian plants and animals.</li>
<li><a href="https://github.com/jbferet/biodivMapR">biodivMapR</a> - An
R package for α- and β-diversity mapping using remotely-sensed
images.</li>
<li><a
href="https://github.com/DiversiTree/TreeDiversity">DiversiTree</a> -
Help urban foresters, planners, greeners, and ecologists in quantifying
tree ecosystem diversity in cities.</li>
<li><a href="https://github.com/MoBiodiv/mobr">mobr</a> - Tools for
analyzing changes in biodiversity across scales.</li>
<li><a href="https://github.com/WildMeOrg/Wildbook">Wildbook</a> -
Blends structured wildlife research with artificial intelligence,
citizen science, and computer vision to speed population analysis and
develop new insights to help fight extinction.</li>
<li><a href="https://github.com/WildMeOrg/wildbook-ia">WildBook-ia</a> -
Builds open software and artificial intelligence for the conservation
research community; pairs with the Wildbook project.</li>
<li><a href="https://github.com/WildMeOrg/scout">Wild Me Scout</a> -
Provides structure data processing and management for photographs from
aerial surveys in support of animal census efforts, combining machine
learning and expertise to get to accurate animal counts as quickly as
possible.</li>
<li><a href="https://github.com/WildMeOrg/scoutbot">Wild Me Scoutbot</a>
- Open models for animal count and classification from aerial surveys;
pairs with the Scout project.</li>
<li><a href="https://github.com/PecanProject/pecan">PEcAn</a> - The
Predictive Ecosystem Analyzer is an integrated ecological bioinformatics
toolbox.</li>
<li><a
href="https://github.com/mapme-initiative/mapme.biodiversity">mapme.biodiversity</a>
- Efficient analysis of spatial biodiversity datasets for global
portfolios.</li>
<li><a href="https://github.com/jeffreyevans/spatialEco">spatialEco</a>
- R package for spatial analysis and modelling of ecological
systems.</li>
<li><a href="https://github.com/shawnlaffan/biodiverse">Biodiverse</a> -
A tool for the spatial analysis of diversity using indices based on
taxonomic, phylogenetic, trait and matrix-based relationships, as well
as related environmental and temporal variations.</li>
<li><a href="https://github.com/pyinat/naturtag">Naturtag</a> - A tool
for nature photographers that adds useful metadata to describe the
organisms in your photos.</li>
<li><a href="https://github.com/IUCNN/IUCNN">IUCNN</a> - Environmental
data and existing IUCN Red List assessments to predict the conservation
status of “Not Evaluated” species, for any taxon or geographic region of
interest.</li>
<li><a href="https://github.com/gbif/ipt">IPT</a> - Global Biodiversity
Information Facility and used to publish and share biodiversity datasets
through the GBIF network.</li>
<li><a href="https://github.com/adamlilith/enmSdmX">enmSdmX</a> - A set
of tools in R for implementing species distribution models and
ecological niche models.</li>
<li><a href="https://github.com/pbs-assess/sdmTMB/">sdmTMB</a> - An R
package that fits spatial and spatiotemporal predictive-processes for
species distribution models.</li>
<li><a href="https://github.com/HemingNM/ENMwizard">ENMwizard</a> -
Advanced Tecniques for Ecological Niche Modeling Made Easy.</li>
<li><a href="https://github.com/sjevelazco/flexsdm">flexsdm</a> - Useful
tools for constructing species distribution models.</li>
<li><a href="https://github.com/tdwg/dwc">Darwin Core</a> - Standard for
sharing of information about biological diversity.</li>
<li><a href="https://github.com/inaturalist/inaturalist">iNaturalist</a>
- Helps you identify the plants and animals around you.</li>
<li><a href="https://github.com/pyinat/pyinaturalist">pyinaturalist</a>
- Python client for iNaturalist, a community science platform that helps
people get involved in the natural world by observing and identifying
the living things around them.</li>
<li><a
href="https://github.com/inaturalist/iNaturalistReactNative">iNaturalistReactNative</a>
- Official iNaturalist client written in React Native that will
eventually replace our existing iOS and Android apps.</li>
<li><a
href="https://github.com/SpeciesFileGroup/taxonworks">TaxonWorks</a> -
An integrated web-based workbench for taxonomists and biodiversity
scientists.</li>
<li><a href="https://github.com/andrefaa/ENMTML">ENMTML</a> - An R
package for an integrated construction of Ecological Niche Models.</li>
<li><a href="https://github.com/brunobrr/bdc">bdc</a> - A toolkit for
standardizing, integrating, and cleaning biodiversity data.</li>
<li><a href="https://github.com/wallaceEcoMod/wallace">Wallace</a> - A
modular platform for reproducible modeling of species niches and
distributions, written in R.</li>
<li><a href="https://github.com/jamiemkass/ENMeval">ENMeval</a> - R
package for automated runs and evaluations of ecological niche
models.</li>
<li><a href="https://github.com/bcgov/biohubbc">BioDiversityHub BC</a> -
The source of British Columbia’s species inventory data.</li>
<li><a href="https://github.com/gnames/gnverifier">Global Names
Verifier</a> - Verifies scientific names against more than 100
biodiversity databases.</li>
<li><a href="https://github.com/frabas/DISPLACE_GUI">DISPLACE_GUI</a> -
A Scientific Research Software for Spatial Fisheries and Natural
Resource Management.</li>
<li><a href="https://github.com/riparias/gbif-alert">GBIF Alert</a> - A
GBIF-based early alert system for invasive species.</li>
<li><a
href="https://github.com/BelgianBiodiversityPlatform/python-dwca-reader">python-dwca-reader</a>
- A Python package to read and parse Darwin Core Archive (DwC-A) files,
as produced by the GBIF website, the IPT and many other biodiversity
informatics tools.</li>
<li><a
href="https://github.com/kahst/BirdNET-Analyzer">BirdNET-Analyzer</a> -
A deep learning solution for avian diversity monitoring.</li>
<li><a href="https://github.com/specify/specify7">specify7</a> - A
biological collections data management platform.</li>
<li><a href="https://github.com/ropensci/gbifdb">gbifdb</a> - Provide a
relational database interface to a parquet based serializations of
gbif’s AWS snapshots of its public data.</li>
<li><a href="https://github.com/richfitz/diversitree">diversitree</a> -
Includes a number of comparative phylogenetic methods, mostly focussing
on analysing diversification and character evolution.</li>
<li><a href="https://github.com/ropensci/rmangal">rmangal</a> - Retrieve
and explore data from the ecological interactions database MANGAL.</li>
<li><a
href="https://gitlab.com/natural-solutions/reneco/ecoreleve-data">EcoReleve</a>
- A free and open source biodiversity data entry software.</li>
<li><a
href="https://github.com/PoisotLab/SpeciesDistributionToolkit.jl">SpeciesDistributionToolkit</a>
- A collection of Julia packages forming a toolkit meant to deal with
species distribution data.</li>
<li><a href="https://github.com/EvolEcolGroup/tidysdm">tidysdm</a> - A
Species Distribution Models in R.</li>
<li><a
href="https://github.com/PnX-SI/GeoNature-citizen">GeoNature-citizen</a>
- A free and Open Source web solution for citizen science projects for
biodiversity data collection.</li>
<li><a
href="https://github.com/AtlasOfLivingAustralia/galah-R">galah</a> - An
R interface to biodiversity data hosted by the living atlases; a set of
organisations that share a common codebase, and act as nodes of the
Global Biodiversity Information Facility.</li>
<li><a href="https://github.com/earth-chris/elapid">elapid</a> - Species
distribution modeling tools, including a python implementation of
Maxent.</li>
<li><a href="https://github.com/ReMobidyc/ReMobidyc">ReMobidyc</a> - A
multi-agent simulator for individual-based modeling in population
dynamics and ecotoxicology.</li>
<li><a href="https://github.com/nesp-tsr3-1/tsx">TSX</a> - Provides
reliable and robust measures of change in the relative abundance of
Australia’s threatened and near-threatened species at national, state
and regional levels.</li>
<li><a href="https://github.com/vocalpy/vak">vak</a> - A neural network
framework for animal acoustic communication and bioacoustics.</li>
<li><a href="https://github.com/scikit-maad/scikit-maad">scikit-maad</a>
- Enables quantitative analysis of environmental audio, offering tools
for processing, segmenting, and computing acoustic features.</li>
<li><a href="https://github.com/ioos/bio_data_guide">SMBD</a> -
Facilitate a community of practice for aligning marine biological data
to Darwin Core for sharing to Ocean Biodiversity Information System
(OBIS).</li>
<li><a href="https://github.com/EcoJulia/Diversity.jl">Diversity.jl</a>
- Provides functionality for measuring alpha, beta and gamma diversity
of metacommunities (e.g. ecosystems) and their constituent
subcommunities.</li>
<li><a href="https://github.com/EricMarcon/entropart">entropart</a> - An
R package that provides functions to calculate alpha, beta and gamma
diversity of communities, including phylogenetic and functional
diversity.</li>
<li><a
href="https://github.com/weecology/portalcasting">portalcasting</a> -
Provides a model development, deployment, and evaluation system for
forecasting how ecological systems change through time, with a focus on
a widely used long-term study of mammal population and community
dynamics.</li>
<li><a
href="https://github.com/kitzeslab/opensoundscape">OpenSoundscape</a> -
A free and open source Python utility library analyzing bioacoustic
data.</li>
<li><a href="https://github.com/ABbiodiversity/wildRtrax">wildRtrax</a>
- An R package for environmental sensor data management and
analytics.</li>
<li><a href="https://github.com/sylvainschmitt/SSDM">SSDM</a> - A
package to map species richness and endemism based on stacked species
distribution models.</li>
<li><a href="https://github.com/ropensci/rotl">rotl</a> - An R package
to interact with the Open Tree of Life data APIs.</li>
<li><a
href="https://github.com/ropensci/CoordinateCleaner">CoordinateCleaner</a>
- Automated flagging of common spatial and temporal errors in biological
and palaeontological collection data, for the use in conservation,
ecology and palaeontology.</li>
<li><a href="https://github.com/biomodhub/biomod2">biomod2</a> - A
computer platform for ensemble forecasting of species distributions,
enabling the treatment of a range of methodological uncertainties in
models and the examination of species-environment relationships.</li>
<li><a href="https://github.com/danlwarren/ENMTools">ENMTools</a> - This
package implements various tests, visualizations, and metrics for use
with environmental niche models (ENMs) and species distribution models
(SDMs).</li>
<li><a href="https://github.com/sdray/ade4">ade4</a> - Analysis of
Ecological Data for Exploratory and Euclidean Methods in Environmental
Sciences.</li>
<li><a href="https://github.com/macroecology/letsR">letsR</a> - Allow
users to build presence-absence matrices, the primary analytical tool in
macroecology, from species’ geographical distributions and merge them
with species’ traits, conservation information and spatial environmental
layers.</li>
<li><a href="https://github.com/doserjef/spOccupancy">spOccupancy</a> -
Fits single-species, multi-species, and integrated spatial occupancy
models using Markov Chain Monte Carlo.</li>
<li><a href="https://github.com/trenchproject/TrenchR">TrenchR</a> -
Facilitates microclimate modeling to translate weather station data into
the environmental conditions experienced by organisms and biophysical
modeling to predict organismal body temperatures given the environmental
conditions.</li>
<li><a href="https://github.com/mrke/NicheMapR">NicheMapR</a> -
Modelling the thermodynamic constraints on life.</li>
<li><a href="https://github.com/Deltares/D-EcoImpact">D-EcoImpact</a> -
A Python based kernel to perform spatialenvironmental impact
assessment.</li>
<li><a href="https://github.com/bionomia/bionomia">Bionomia</a> - Parse
people names from biodiversity occurrence data, apply basic regular
expressions and heuristics to disambiguate them, and to make these
occurrence records as entities that can be claimed by people via
ORCID.</li>
<li><a
href="https://github.com/AtlasOfLivingAustralia/volunteer-portal">DigiVol</a>
- Harness the power of online volunteers to digitise biodiversity data
that is locked up in biodiversity collections, field notebooks and
survey sheets.</li>
<li><a href="https://github.com/iiasa/ibis.iSDM">ibis.iSDM</a> -
Provides a series of convenience functions to fit integrated Species
Distribution Models.</li>
<li><a href="https://github.com/maRce10/baRulho">baRulho</a> - An R
package to quantify habitat-induced degradation of (animal) acoustic
signals.</li>
</ul>
<h3 id="conservation-and-restoration">Conservation and Restoration</h3>
<ul>
<li><a href="https://github.com/ghislainv/forestatrisk">forestatrisk</a>
- A Python package to model and forecast the risk of deforestation.</li>
<li><a href="https://github.com/FRBCesab/worldpa">worldpa</a> - R
interface to the World Database on Protected Areas.</li>
<li><a href="https://github.com/ghislainv/pywdpa">pywdpa</a> - Python
interface to the World Database on Protected Areas.</li>
<li><a href="https://github.com/prioritizr/wdpar">wdpar</a> - R
Interface to the World Database on Protected Areas.</li>
<li><a
href="https://github.com/Plant-for-the-Planet-org/planet-webapp">Plant-for-the-Planet</a>
- Allows you to plant trees with over 100 reforestation projects around
the world.</li>
<li><a
href="https://github.com/Plant-for-the-Planet-org/treemapper">Tree
Mapper App</a> - Tree Mapper extends the Plant-for-the-Planet App and
allows on site coordinate submission during plantation.</li>
<li><a
href="https://github.com/protontypes/continuous-reforestation">Continuous
Reforestation</a> - A GitHub Action for planting trees within your
development workflow using the Reforestation as a Service (RaaS) API
developed by DigitalHumani.</li>
<li><a
href="https://github.com/ghislainv/forestatrisk-tropics">forestatrisk</a>
- Modelling and forecasting deforestation in the tropics.</li>
<li><a href="https://github.com/protect-earth/tree-tracker-ios">Tree
Tracker</a> - Used by people who plant trees so they don’t have to
manually type coordinates with pictures they took.</li>
<li><a
href="https://github.com/karthikraja95/fsdl_deforestation_detection">FSDL
Deforestation Detection</a> - A deep learning approach to detecting
deforestation risk, using satellite images and a deep learning
model.</li>
<li><a href="https://github.com/forc-db/GROA">Global Reforestation
Opportunity Assessment</a> - Quantify carbon sequestration in naturally
regenerating forests around the world.</li>
<li><a
href="https://gitlab.com/openlandmap/eu-forest-tree-point-data">EU
forest tree point data</a> - A compilation of analysis-ready point data
for the purpose of vegetation and Potential Natural Vegetation mapping
for the EU.</li>
<li><a
href="https://github.com/Greenstand/treetracker-android">Treetracker</a>
- Coordinates the digital capture of tree growth data in the field,
allowing to establish employment for people living in extreme poverty
based on tree planting.</li>
<li><a href="https://github.com/azvoleff/gfcanalysis">gfcanalysis</a> -
Tools for working with Global Forest Change dataset.</li>
<li><a href="https://github.com/forestobservatory/cfo-api">California
Forest Observatory</a> - Python wrappers for accessing Forest
Observatory data via the Salo API.</li>
<li><a href="https://github.com/prioritizr/prioritizr">prioritizr</a> -
Uses mixed integer linear programming techniques to provide a flexible
interface for building and solving conservation planning problems.</li>
<li><a href="https://github.com/EcoJulia/EcoSISTEM.jl">EcoSISTEM.jl</a>
- A Julia package that provides functionality for simulating species
undergoing dynamic biological processes such as birth, death,
competition and dispersal, as well as environmental changes in climate
and habitat.</li>
<li><a href="https://github.com/NINAnor/oneimpact">oneimpact</a> -
Provides tools for the assessment of cumulative impacts of multiple
infrastructure and land use modifications in ecological studies.</li>
<li><a href="https://github.com/achubaty/grainscape">grainscape</a> -
Efficient Modelling of Landscape Connectivity, Habitat, and Protected
Area Networks.</li>
<li><a href="https://github.com/dimitri-justeau/restoptr">restoptr</a> -
Aims to identify priority areas for restoration efforts using
optimization algorithms.</li>
<li><a href="https://github.com/open-AIMS/ADRIA.jl">ADRIA.jl</a> - A
multi-criteria decision support platform for informing reef restoration
and adaptation interventions.</li>
<li><a
href="https://github.com/lter/lterdatasampler">lterdatasampler</a> -
Provide the scientific community, policy makers, and society with the
knowledge and predictive understanding necessary to conserve, protect,
and manage the nation’s ecosystems, their biodiversity, and the services
they provide.</li>
<li><a href="https://github.com/Vizzuality/half-earth-v3">Half Earth</a>
- Provides an interactive summary of progress toward Half-Earth goal,
offered as a tool to help contextualise global datasets of biodiversity,
human encroachment, and protection.</li>
<li><a
href="https://github.com/BirdLifeInternational/track2kba">track2KBA</a>
- This R package is comprised of functions that facilitate the
identification of areas of importance for biodiversity, such as Key
Biodiversity Areas (KBAs), based on individual tracking data.</li>
<li><a href="https://github.com/emlab-ucsb/oceandatr">oceandatr</a> -
Aims to provide simple functions for creating data for conducting a
spatial conservation prioritization for large scale areas of the ocean,
specifically offshore areas.</li>
</ul>
<h3 id="forest-observation-and-management">Forest Observation and
Management</h3>
<ul>
<li><a href="https://ecostress.jpl.nasa.gov/">ECOSTRESS</a> - The images
acquired by ECOSTRESS are the most detailed temperature images of the
surface ever acquired from space and can be used to measure the
temperature of an individual farmers field and plants.</li>
<li><a href="https://github.com/apburt/treeseg/">treeseg</a> - Developed
to near-automatically extract tree-level point clouds from high-density
larger-area lidar point clouds acquired in forests.</li>
<li><a href="https://github.com/forestgeo/fgeo">fgeo</a> - Analyze
forest diversity and dynamics.</li>
<li><a href="https://github.com/openforis/sepal">SEPAL</a> - Empowering
people around the world to gain a better understanding of land cover
dynamics in forest management by facilitating the efficient access and
use of Earth observation data.</li>
<li><a href="https://github.com/forc-db/ForC">Forest Carbon database</a>
- Global Forest Carbon Database.</li>
<li><a href="https://github.com/tiagodc/TreeLS">TreeLS</a> - High
performance R functions for forest data processing based on Terrestrial
Laser Scanning (but not only) point clouds.</li>
<li><a href="https://github.com/InverseTampere/TreeQSM">TreeQSM</a> -
Quantitative Structure Models of Single Trees from Laser Scanner
Data.</li>
<li><a href="https://github.com/wri/gfw">Global Forest Watch</a> - An
online, global and near real-time forest monitoring tool.</li>
<li><a href="https://github.com/wri/gfw-mapbuilder">gfw-mapbuilder</a> -
A library to build custom Forest Atlas web applications.</li>
<li><a href="https://github.com/r-lidar/lidR">lidR</a> - An R package
for airborne LiDAR data manipulation and visualization for forestry
application.</li>
<li><a
href="https://github.com/mparkan/Digital-Forestry-Toolbox">Digital
Forestry Toolbox</a> - A collection of digital forestry tools for
Matlab/Octave.</li>
<li><a href="https://github.com/brycefrank/pyfor">pyfor</a> - Tools for
analyzing aerial point clouds of forest data.</li>
<li><a href="https://github.com/weecology/DeepForest">DeepForest</a> -
Python Package for Tree Crown Detection in Airborne RGB imagery.</li>
<li><a
href="https://github.com/weecology/NeonTreeEvaluation">NeonTreeEvaluation</a>
- Benchmark dataset for tree detection for airborne RGB, Hyperspectral
and LIDAR imagery.</li>
<li><a href="https://github.com/akamoske/canopyLazR">canopyLazR</a> - An
R package that estimates leaf area density and leaf area index from
airborne LiDAR point clouds.</li>
<li><a href="https://github.com/philwilkes/forestlas">forestlas</a> -
Code for generating metrics of forest vertical structure from airborne
LiDAR data.</li>
<li><a href="https://github.com/OpenTreeMap/otm-core">OpenTreeMap</a> -
A collaborative platform for crowdsourced tree inventory, ecosystem
services calculations, urban forestry analysis and community
engagement.</li>
<li><a
href="https://github.com/weecology/DeepTreeAttention">DeepTreeAttention</a>
- Hyperspectral Image Classification with Attention Aided CNNs.</li>
<li><a href="https://gitlab.com/rootmodels/OpenSimRoot">OpenSimRoot</a>
- Source code for simulating root architecture, nutrient and water
uptake and more.</li>
<li><a href="https://github.com/sollano/forestmangr">forestmangr</a> -
An R package for forest mensuration and management.</li>
<li><a href="https://github.com/NGEET/fates">FATES</a> - A cohort model
of vegetation competition and co-existence, allowing a representation of
the biosphere which accounts for the division of the land surface into
successional stages.</li>
<li><a href="https://github.com/martibosch/detectree">DetecTree</a> - A
Pythonic library to classify tree/non-tree pixels from aerial
imagery.</li>
<li><a
href="https://github.com/wri/sentinel-tree-cover">Sentinel-Tree-Cover</a>
- This project maps tree extent at the ten-meter scale using open source
artificial intelligence and satellite imagery.</li>
<li><a href="https://github.com/Bioverse-Labs/deep-learning">Bioverse
Labs</a> - Python scripts using usual frameworks in Deep Learning for
pattern recognition on forest environments.</li>
<li><a href="https://github.com/carlos-alberto-silva/rGEDI">rGEDI</a> -
An R Package for NASA’s Global Ecosystem Dynamics Investigation (GEDI)
Data Visualization and Processing.</li>
<li><a href="https://github.com/shmh40/detectreeRGB">detectreeRGB</a> -
Tree crown delineation from RGB imagery, coupled with methods to
delineate tree crowns from LiDAR data.</li>
<li><a
href="https://github.com/ytarazona/ForesToolboxRS">ForesToolboxRS</a> -
Remote Sensing Tools for Forest Monitoring.</li>
<li><a
href="https://github.com/technologiestiftung/giessdenkiez-de">Gieß den
Kiez</a> - Enable coordinated citizen participation in the irrigation of
urban trees.</li>
<li><a href="https://github.com/SKrisanski/FSCT">Forest Structural
Complexity Tool</a> - Allowing plot scale measurements to be extracted
automatically from most high-resolution forest point clouds from a
variety of sensor sources.</li>
<li><a href="https://github.com/Ecotrust/forestplanner">Forest Scenario
Planner</a> - An online tool for forest management scenario
planning.</li>
<li><a href="https://github.com/bi0m3trics/spanner">spanner</a> -
Utilities to support landscape-, forest-, and tree-related data
collection, manipulation, analysis, modelling, and visualization.</li>
<li><a
href="https://github.com/andrew-plowright/ForestTools">ForestTools</a> -
Detect and segment individual tree from remotely sensed data.</li>
<li><a href="https://github.com/hunter-stanke/rFIA">rFIA</a> - Increase
the accessibility and use of the USFS Forest Inventory and Analysis
Database by providing a user-friendly, open source platform to easily
query and analyze.</li>
<li><a
href="https://github.com/USDAForestService/ForestVegetationSimulator">Forest
Vegetation Simulator</a> - A family of individual-tree,
distance-independent, forest growth simulation models.</li>
<li><a
href="https://github.com/cp-PYFOREST/Land-Use-Assessment">PYFOREST</a> -
Informing Forest Conservation Regulations in Paraguay.</li>
<li><a href="https://github.com/PatBall1/detectree2">Detectree2</a> -
Automatic tree crown delineation based on the Detectron2 implementation
of Mask R-CNN.</li>
<li><a href="https://github.com/allometric/allometric">allometric</a> -
Thousands of allometric models exist in the scientific and technical
forestry literature, and allometric is a platform for archiving and
using this vast array of models in a robust and structured format.</li>
<li><a href="https://github.com/VUKOZ-OEL/3d-forest">3D Forest</a> -
Visualization, processing and analysis of Lidar point clouds, mainly
focused on forest environment.</li>
<li><a
href="https://github.com/datazoompuc/datazoom.amazonia">datazoom.amazonia</a>
- Facilitates access to official Brazilian Amazon data, including
agriculture, deforestation, production.</li>
<li><a href="https://github.com/tgoodbody/sgsR">sgsR</a> - A
structurally guided sampling toolbox for LiDAR-based forest
inventories.</li>
<li><a href="https://github.com/trotsiuk/r3PG">r3PG</a> - An R package
for forest growth simulation using the 3-PG process-based model.</li>
<li><a
href="https://github.com/developmentseed/our-forests-tomorrow">Our
Forests Tomorrow</a> - Visualizing European forests future.</li>
<li><a href="https://github.com/langnico/global-canopy-height-model">A
high-resolution canopy height model of the Earth</a> - The model
estimates canopy top height for every Sentinel-2 image pixel and was
trained using sparse GEDI LIDAR data as a reference.</li>
<li><a href="https://github.com/emf-creaf/medfate">medfate</a> -
Functions to simulate Mediterranean forest functioning and dynamics
using cohort-based description of vegetation.</li>
<li><a href="https://github.com/stevage/OpenTrees">OpenTrees.org</a> - A
data visualisation of millions of publicly maintained trees around the
world.</li>
<li><a href="https://github.com/consbio/seedlot-selection-tool">Seedlot
Selection Tool</a> - A GIS mapping program designed to help forest
managers match seedlots with planting sites based on climatic
information.</li>
<li><a
href="https://github.com/carlos-alberto-silva/ForestGapR">ForestGapR</a>
- An R Package for Airborne Laser Scanning-derived Tropical Forest Gaps
Analysis.</li>
<li><a href="https://github.com/cat-cfs/libcbm_py">CBM-CFS3</a> - The
Carbon Budget Model of the Canadian Forest Sector is an aspatial, stand-
and landscape-level modelling framework used for international reporting
of the forest carbon balance of Canada’s managed forest.</li>
<li><a href="https://github.com/Molina-Valero/FORTLS">FORTLS</a> -
Detect and segment individual tree from remotely sensed data.</li>
<li><a href="https://github.com/AndyBunn/dplR">dplR</a> - A package for
R that performs tree-ring analyses such as detrending, chronology
building, and crossdating.</li>
<li><a href="https://github.com/PredictiveEcology/LandR/">LandR</a> -
These models simulate forest vegetation dynamics based on LANDIS-II, and
incorporate fire and insect disturbance, as well as other important
ecological processes.</li>
<li><a href="https://github.com/Vizzuality/mangrove-atlas">Mangrove
Atlas</a> - An online platform that provides the remote sensing data and
tools for monitoring mangroves necessary for this.</li>
<li><a href="https://github.com/3DFin/3DFin">3DFin</a> - A free software
for automatic computation of tree parameters in terrestrial point
clouds.</li>
<li><a href="https://github.com/ForModLabUHel/Rprebasso">Rprebasso</a> -
Predict the growth and carbon balance of the forest ecosystem.</li>
<li><a href="https://github.com/chguiterman/dfoliatR">dfoliatR</a> -
Provide dendrochronologists with tools for identifying and analyzing the
signatures of insect defoliators preserved in tree rings.</li>
<li><a href="https://github.com/hanecakr/fellingdater">fellingdater</a>
- A suite of functions designed to assist dendrochronologists in
inferring estimates for felling dates, derived from dated tree-ring
series.</li>
</ul>
<h3 id="plants-and-vegetation">Plants and Vegetation</h3>
<ul>
<li><a
href="https://github.com/openplantpathology/OpenPlantPathology">OpenPlantPathology</a>
- Open Plant Pathology is an initiative that supports and promotes the
spread of all open, transparent and reproducible practices in the field
of plant pathology.</li>
<li><a
href="https://github.com/Plant-Root-Soil-Interactions-Modelling/CPlantBox">CRootBox</a>
- The focus of CRootBox is the simulation of different types of root
architecture, and to provide a generic interface for coupling with
arbitrary soil/environmental models, e.g., in order to determine the
impact of specific root architectures on function.</li>
<li><a href="https://github.com/danforthcenter/plantcv">PlantCV</a> -
Plant phenotyping using computer vision.</li>
<li><a href="https://github.com/p2irc/deepplantphenomics">Deep Plant
Phenomics</a> - A platform for plant phenotyping using deep
learning.</li>
<li><a href="https://github.com/traitecoevo/plant">plant</a> - A package
for modeling forest trait ecology and evolution.</li>
<li><a
href="https://github.com/alan-turing-institute/monitoring-ecosystem-resilience">monitoring-ecosystem-resilience</a>
- The focus is understanding vegetation patterns in semi-arid
environments.</li>
<li><a href="https://www.quantitative-plant.org/">Quantitative Plant</a>
- A website presenting image analysis software tools and models for
plants.</li>
<li><a href="https://github.com/eco-hydro/phenofit/">phenofit</a> - A
state-of-the-art remote sensing vegetation phenology extraction
package.</li>
<li><a href="https://github.com/usa-npn/rnpn">rnpn</a> - R client for
interacting with the USA National Phenology Network data web
services.</li>
<li><a
href="https://github.com/cdmuir/photosynthesis">photosynthesis</a> - An
R package with modeling tools for C3 photosynthesis, as well as
analytical tools for curve-fitting plant ecophysiology responses.</li>
<li><a href="https://github.com/bluegreen-labs/phenor">phenor</a> - The
framework leverages measurements of vegetation phenology from four
common phenology observation datasets combined with global retrospective
and projected climate data.</li>
<li><a href="https://github.com/bmaitner/RBIEN">RBIEN</a> - Tools for
accessing the Botanical Information and Ecology Network database.</li>
<li><a href="https://github.com/matildabrown/rWCVP">rWCVP</a> - A
package for accessing and using plant name and distribution data from
the World Checklist of Vascular Plants.</li>
<li><a href="https://github.com/barnabywalker/kewr">kewr</a> - Meant to
make accessing data from one of Royal Botanic Gardenn Kew easier and to
provide a consistent interface their public APIs.</li>
<li><a href="https://github.com/RBGKew/powop">Plants of the World
Online</a> - An international collaborative programme that has as a
primary aim to make available digitized data of the world’s flora
gathered from the past 250 years of botanical exploration and
research.</li>
<li><a
href="https://github.com/uaf-arctic-eco-modeling/dvm-dos-tem">dvm-dos-tem</a>
- A process based Dynamic Vegetation, Dynamic Organic Soil, Terrestrial
Ecosystem Model.</li>
<li><a href="https://github.com/ncsuSEAL/Bayesian_LSP">blsp</a> - A
Bayesian hierarchical model that quantifies long-term annual land
surface phenology from sparse time series of vegetation indices.</li>
<li><a href="https://github.com/traitecoevo/austraits">austraits</a> - R
package for accessing the AusTraits Plant database, an open-source,
harmonized database of Australian plant trait data.</li>
<li><a href="https://github.com/rnuske/vegperiod/">vegperiod</a> -
Provides methods to calculate climatological or thermal growing seasons
solely based on daily mean temperatures and the day of the year.</li>
<li><a
href="https://github.com/ImperialCollegeLondon/pyrealm">pyrealm</a> -
Providing an integrated toolbox for modelling plant productivity, growth
and demography using Python.</li>
<li><a href="https://github.com/geco-bern/rsofun">rsofun</a> - R
framework for site-scale simulations of ecosystem processes.</li>
<li><a href="https://github.com/biocro/biocro">BioCro</a> - A model that
predicts plant growth over time given crop-specific parameters and
environmental data as input.</li>
</ul>
<h3 id="biomass">Biomass</h3>
<ul>
<li><a href="https://github.com/forestgeo/fgeo.biomass">fgeo.biomass</a>
- Calculate biomass with allometric equations from the allodb package
and ForestGEO data.</li>
<li><a href="https://github.com/umr-amap/BIOMASS">BIOMASS</a> - An R
package for estimating aboveground biomass and its uncertainty in
tropical forests.</li>
<li><a href="https://github.com/wri/carbon-budget">carbon budget</a> -
This model maps gross greenhouse gas emissions from forests between 2001
and 2015, gross carbon removals by forests between 2001, and the
difference between them (net flux).</li>
<li><a href="https://github.com/Envirometrix/PNVmaps">PNVmaps</a> -
Global Maps of Potential Natural Vegetation based on Machine
Learning.</li>
<li><a href="https://github.com/MAAP-Project/maap-api-nasa">MAAP</a> -
Discover and use biomass relevant data, integrating the data for
comparison, analysis, evaluation, and generation.</li>
<li><a href="https://github.com/BioPAL/BioPAL">BioPAL</a> - The BIOMASS
Product Algorithm Laboratory hosts official tools for processing and
analysing ESA’s BIOMASS mission data.</li>
<li><a href="https://github.com/ropensci/allodb">allodb</a> - An R
package for biomass estimation at extratropical forest plots.</li>
</ul>
<h3 id="wildfire">Wildfire</h3>
<ul>
<li><a
href="https://github.com/ECMWFCode4Earth/wildfire-forecasting">wildfire
forecasting</a> - The project intends to reproduce the Fire Forecasting
capabilities of GEFF using Deep Learning and develop further
improvements in accuracy, geography and time scale through inclusion of
additional variables or optimization of model architecture and
hyperparameters.</li>
<li><a href="https://github.com/ecmwf/caliver">caliver</a> - CALIbration
and VERification of gridded fire danger models.</li>
<li><a href="https://github.com/ltrr-arizona-edu/burnr">burnr</a> -
Basic tools to analyze forest fire history data (e.g. FHX) in R.</li>
<li><a href="https://github.com/pyronear/pyro-vision">Pyrovision</a> -
Computer vision library for wildfire detection.</li>
<li><a href="https://github.com/pyronear/pyro-risks">Pyronear Risks</a>
- The pyro-risks project aims at providing the pyronear-platform with a
machine learning based wildfire forecasting capability.</li>
<li><a href="https://github.com/bcgov/wps">Wildfire Predictive
Services</a> - Wildfire Predictive Services to support decision making
in prevention, preparedness, response and recovery.</li>
<li><a
href="https://git.ecmwf.int/projects/CEMSF/repos/geff/browse">Global
ECMWF Fire Forecasting</a> - The model is a Fortran program to calculate
fire danger indices from atmospheric inputs.</li>
<li><a href="https://github.com/earthlab/firedpy">FIREDpy</a> -
Classifying fire events from the Collection 6 MODIS Burned Area
Product.</li>
<li><a href="https://github.com/firetools/qgis2fds">qgis2fds</a> -
Export terrain elevation, landuse, and georeferencing for computational
fluid dynamics wildfire or atmospheric pollutants dispersion
simulations.</li>
<li><a href="https://github.com/Orion-AI-Lab/mesogeos">Mesogeos</a> - A
multi-purpose dataset for data-driven wildfire modeling in the
Mediterranean.</li>
<li><a
href="https://github.com/datadesk/nasa-wildfires">nasa-wildfires</a> -
Download wildfire hotspots detected by NASA satellites and the Fire
Information for Resource Management System (FIRMS).</li>
<li><a href="https://github.com/firelab/windninja">WindNinja</a> -
Computes spatially-varying wind fields for wildland fire and other
applications requiring high-resolution wind predictions in complex
terrain.</li>
<li><a href="https://github.com/mitrefireline/simfire">SimFire</a> - An
open-source wildfire simulator written in Python and meant to be used to
train reinforcement learning agents.</li>
<li><a href="https://github.com/dbca-wa/FireHistory">FireHistory</a> -
The goal of FireHistory is to provide tools to help extract useful fire
metrics from the Department of Biodiversity, Conservation and
Attractions Fire History dataset data Western Australia link.</li>
<li><a href="https://github.com/forefireAPI/firefront">ForeFire</a> - An
open-source code for wildland fire spread models.</li>
<li><a href="https://github.com/lautenberger/elmfire">ELMFIRE</a> - An
operational wildland fire spread model.</li>
<li><a href="https://github.com/cell2fire/Cell2Fire">Cell2Fire</a> - A
cell-based forest and wildland landscape fire spread simulator.</li>
<li><a
href="https://github.com/Plant-for-the-Planet-org/FireAlert">FireAlert</a>
- Alerts you when heat anomalies are detected by NASA’s FIRMS in your
forest.</li>
</ul>
<h3 id="marine-life-and-fishery">Marine Life and Fishery</h3>
<ul>
<li><a href="https://github.com/VIAME/VIAME">VIAME</a> - Video and Image
Analytics for Marine Environments.</li>
<li><a href="https://github.com/NOAA-EDAB/ecodata">ecodata</a> - A data
package for reporting on Northeast Continental Shelf ecosystem status
and trends.</li>
<li><a href="https://github.com/ropensci/rfishbase">rfishbase</a> - An R
interface to the fishbase.org database.</li>
<li><a
href="https://github.com/JuliaOcean/PlanktonIndividuals.jl">PlanktonIndividuals.jl</a>
- This package simulates the behaviors of an ensemble of phytoplankton
individuals.</li>
<li><a
href="https://git.geomar.de/markus-pahlow/UVic-updates-opem">UVic-updates-opem</a>
- Introduces optimality-based phytoplankton and zooplankton into the
UVic-ESCM (version 2.9) with variable C:N:P(:Chl) stoichiometry for
phytoplankton, diazotrophs and detritus.</li>
<li><a href="https://github.com/pinskylab/OceanAdapt">OceanAdapt</a> -
Provide information about the impacts of changing climate and other
factors on the distribution of marine life to the National Climate
Assessment, fisheries communities, policymakers, and to others.</li>
<li><a
href="https://github.com/ices-tools-prod/icesDatras">icesDatras</a> - R
interface to Database of Trawl Surveys web services.</li>
<li><a href="https://github.com/ices-tools-prod/icesTAF">icesTAF</a> -
Functions to support the International Council for the Exploration of
the Sea Transparent Assessment Framework.</li>
<li><a href="https://github.com/ocean-data-factory-sweden/kso">KSO</a> -
The Koster Seafloor Observatory is an open-source, citizen science and
machine learning approach to analyse subsea movies.</li>
<li><a href="https://github.com/fishR-Core-Team/FSAdata">FSAdata</a> -
Contains data for use in common fisheries stock analyses. See
installation instructions further below.</li>
<li><a href="https://github.com/ropensci/dataaimsr">dataaimsr</a> -
Australian Institute of Marine Science (AIMS) Data Platform API Client
which provides easy access to AIMS Data Platform scientific data and
information.</li>
<li><a
href="https://github.com/data-mermaid/mermaid-dash">mermaid-dash</a> -
Transform your underwater insights into data-driven actions that save
coral reefs.</li>
<li><a href="https://github.com/data-mermaid/mermaidr">mermaidr</a> - An
open-source data platform developed to help you collect, analyze, and
share coral reef monitoring data.</li>
<li><a href="https://github.com/YuriNiella/RSP">RSP</a> - Refining the
Shortest Paths of animals tracked with acoustic transmitters in
estuarine regions.</li>
<li><a href="https://github.com/PascalIrz/aspe">aspe</a> - An R package
to analyse and visualise river fish data in France.</li>
<li><a href="https://github.com/bruvellu/cifonauta">Cifonauta</a> -
Marine biology image database by CEBIMar/USP.</li>
<li><a href="https://github.com/coralnet/coralnet">CoralNet</a> - A
repository and resource for benthic image analysis.</li>
<li><a href="https://github.com/aqualinkorg/aqualink-app">Aqualink</a> -
A philanthropically funded system to help people manage their local
marine ecosystems in the face of increasing Ocean temperatures.</li>
<li><a
href="https://github.com/afsc-gap-products/survey-live-temperature-map">Near
Real-Time Survey Progress and Temperature Maps</a> - Create daily survey
station daily temperature and anomaly plots as the ships work their way
through the Bering Sea.</li>
<li><a href="https://github.com/afsc-gap-products/coldpool">cold pool
index</a> - Calculate the cold pool index, mean sea surface temperature,
and mean bottom temperature using temperature data collected during
bottom trawl surveys of the eastern Bering Sea.</li>
<li><a
href="https://github.com/PlanktoScope/PlanktoScope">PlanktoScope</a> - A
modular, open-source hardware and software platform that allows for
high-throughput quantitative imaging of plankton samples in aquatic
biology and ecology.</li>
<li><a href="https://github.com/SchmidtDSE/afscgap">pyafscgap</a> -
Community contributed Python-based tools for working with public bottom
trawl surveys data from the NOAA Alaska Fisheries Science Center
Groundfish Assessment Program.</li>
<li><a href="https://github.com/BIO-RSG/PhytoFit">PhytoFit</a> - Used to
display satellite chlorophyll concentration, and calculate statistics
and model phytoplankton blooms for regions within custom polygons.</li>
<li><a href="https://github.com/OSOceanAcoustics/echopype">Echopype</a>
- A package built to enable interoperability and scalability in ocean
sonar data processing.</li>
<li><a href="https://github.com/osmose-model/osmose">OSMOSE</a> - A
multispecies and individual-based model which focuses on fish
species.</li>
<li><a href="https://github.com/WHOIGit/whoi-hab-hub">WHOI HABhub Data
Portal</a> - Is being developed as a data access and visualization
portal for the New England Harmful Algal Bloom Observing Network.</li>
<li><a
href="https://github.com/pfmc-assessments/nwfscSurvey">nwfscSurvey</a> -
Tool to pull and process NWFSC West Coast groundfish survey data for use
in PFMC groundfish stock assessments.</li>
<li><a href="https://github.com/ss3sim/ss3sim">ss3sim</a> - An R package
that facilitates flexible, rapid, and reproducible fisheries stock
assessment simulation testing with the widely-used Stock Synthesis
statistical age-structured stock assessment framework.</li>
<li><a href="https://github.com/ropensci/rfisheries">rfisheries</a> -
Interacting with fisheries databases at openfisheries.org.</li>
<li><a href="https://github.com/fishR-Core-Team/FSA">Fisheries Stock
Assessment</a> - Provides R functions to conduct typical introductory
fisheries analyses.</li>
<li><a href="https://github.com/fishR-Core-Team/RFishBC">RFishBC</a> -
Helps fisheries scientists collect measurements from calcified
structures and back-calculate estimated lengths at previous ages.</li>
<li><a href="https://github.com/Shyentist/fish-r-man">fishRman</a> -
Shiny R Dashboard to easily query, download, analyse and visualise
Global Fishing Watch data on fishing effort.</li>
<li><a href="https://github.com/sizespectrum/mizer">mizer</a> - An R
package to run dynamic multi-species size-spectrum models of fish
communities.</li>
<li><a
href="https://github.com/poseidon-fisheries/POSEIDON">POSEIDON</a> - A
fishery agent-based model.</li>
<li><a href="https://github.com/GlobalFishingWatch/gfwr">gfwr</a> - R
package for accessing data from Global Fishing Watch APIs.</li>
<li><a href="https://github.com/r4ss/r4ss">r4ss</a> - A fisheries stock
assessment model written by Rick Methot.</li>
<li><a
href="https://github.com/orcasound/aifororcas-livesystem">OrcaHello</a>
- A real-time AI-assisted killer whale notification system.</li>
<li><a href="https://github.com/PlanktonTeam/planktonr">planktonr</a> -
R package that facilitates the download, analysis and visualisation of
phytoplankton and zooplankton data.</li>
<li><a href="https://github.com/ropensci/worrms">worrms</a> - A R client
for the World Register of Marine Species.</li>
<li><a href="https://github.com/NOAA-FIMS/FIMS">FIMS</a> - A software
system designed and architected to support next-generation fisheries
stock assessment, ecosystem, and socioeconomic modeling.</li>
<li><a href="https://github.com/nmfs-fish-tools/SSMSE">SSMSE</a> - R
package for performing Management Strategy Evaluation using Stock
Synthesis.</li>
<li><a href="https://github.com/smnorris/bcfishobs">bcfishobs</a> -
Known BC Fish Observations is documented as the most current and
comprehensive information source on fish presence for the province.</li>
<li><a href="https://github.com/dbca-wa/wastd">wastd</a> - Turtle
strandings in Western Australian, as reported to the Department of
Biodiversity, Conservation and Attractions.</li>
<li><a href="https://github.com/danStich/shadia">shadia</a> - An R
package that was designed to run dam passage performance standard models
for American shad and other herrings.</li>
<li><a
href="https://github.com/NIWAFisheriesModelling/CASAL2">CASAL2</a> -
Models can be used for a single population with a single anthropogenic
event (in a fish population model this would be a single fishery), or
for multiple species and populations, areas, and/or anthropogenic or
exploitation methods, and including predator-prey interactions.</li>
<li><a href="https://github.com/inbo/etn">etn</a> - Provides
functionality to access data from the European Tracking Network (ETN)
database hosted by the Flanders Marine Institute (VLIZ) as part of the
Flemish contribution to LifeWatch.</li>
</ul>
<h3 id="terrestrial-animals">Terrestrial Animals</h3>
<ul>
<li><a href="https://github.com/CornellLabofOrnithology/auk">auk</a> -
eBird Data Extraction and Processing in R.</li>
<li><a
href="https://github.com/allisonhorst/palmerpenguins/">palmerpenguins</a>
- The palmerpenguins data contains size measurements for three penguin
species observed on three islands in the Palmer Archipelago,
Antarctica.</li>
<li><a href="https://github.com/bluegreen-labs/phenocamr">phenocamr</a>
- Facilitates the retrieval and post-processing of PhenoCam time
series.</li>
<li><a
href="https://github.com/microsoft/aerial_wildlife_detection">Annotation
Interface for Data-driven Ecology</a> - Tools for detecting wildlife in
aerial images using active learning.</li>
<li><a href="https://github.com/adokter/bioRad">bioRad</a> - R package
for analysis and visualisation of biological signals in weather radar
data.</li>
<li><a href="https://github.com/microsoft/CameraTraps/">MegaDetector</a>
- Deep learning tools that accelerate the review of motion-triggered
wildlife camera images.</li>
<li><a href="https://github.com/ebird/ebirdst">ebirdst</a> - Access and
Analyze eBird Status and Trends Data.</li>
<li><a href="https://github.com/Rafnuss/GeoPressureR">GeoPressureR</a> -
R package which help researchers construct the trajectory of a bird
equiped with an atmospheric pressure sensor.</li>
<li><a
href="https://github.com/PetervanLunteren/EcoAssist">EcoAssist</a> - An
open-source application designed to streamline the work of ecologists
dealing with camera trap images.</li>
<li><a
href="https://github.com/birdflow-science/BirdFlowR">BirdFlowR</a> -
Predict changes in bird distributions and generate synthetic migration
routes.</li>
<li><a href="https://github.com/AfricaBirdData/ABAP">ABAP</a> - Code for
downloading and working with data from the African Bird Atlas
Project.</li>
<li><a
href="https://github.com/WildEyeConservation/TrapTagger">TrapTagger</a>
- AI-Powered Camera-Trap Imagery Processing.</li>
<li><a
href="https://github.com/naturalsolutions/ecoSecrets">ecoSecrets</a> -
An open-source web application that aims to facilitate biodiversity
studies that use autonomous data collection devices such as camera
traps.</li>
</ul>
<h2 id="cryosphere">Cryosphere</h2>
<h3 id="sea-ice">Sea Ice</h3>
<ul>
<li><a href="https://github.com/nansencenter/sea_ice_drift">Sea ice
drift</a> - Sea ice drift from Sentinel-1 SAR imagery using open source
feature tracking.</li>
<li><a href="https://github.com/CICE-Consortium/CICE">CICE</a> - A
computationally efficient model for simulating the growth, melting, and
movement of polar sea ice.</li>
<li><a href="https://github.com/wrightni/OSSP">OSSP</a> - Open Source
Algorithm for Detecting Sea Ice Surface Features in High Resolution
Optical Imagery.</li>
<li><a href="https://github.com/vannizhang/sea-ice">sea-ice</a> -
Displays the monthly mean sea ice extent for the Arctic and Antarctic
along with the historical median extent.</li>
<li><a href="https://github.com/FESOM/fesom2">FESOM2</a> -
Multi-resolution ocean general circulation model that solves the
equations of motion describing the ocean and sea ice using
finite-element and finite-volume methods on unstructured computational
grids.</li>
<li><a href="https://github.com/tom-andersson/icenet-paper">IceNet</a> -
Code for Seasonal Arctic sea ice forecasting with probabilistic deep
learning.</li>
<li><a href="https://github.com/COSIMA/cosima-recipes">COSIMA</a> -
Ocean and sea-ice model analysis tools and examples.</li>
<li><a href="https://github.com/COSIMA/access-om2">ACCESS-OM2</a> -
Global ocean-sea ice coupled model configurations.</li>
<li><a href="https://github.com/E3SM-Project/polaris">Polaris</a> -
Provides infrastructure, test cases and analysis tasks related to the
ocean, land-ice and sea-ice components of the Exascale Energy Earth
System Model.</li>
<li><a
href="https://github.com/AustralianAntarcticDivision/SOmap">SOmap</a> -
The goal of this package is to make publication quality round Southern
Ocean maps in polar projections with little effort.</li>
</ul>
<h3 id="glacier-and-ice-sheets">Glacier and Ice Sheets</h3>
<ul>
<li><a href="https://github.com/PennyHow/PyTrx">PyTrx</a> - Its primary
purpose is to obtain velocities, surface areas, and distances from
oblique, optical imagery of glacial environments.</li>
<li><a href="https://github.com/OGGM/oggm">OGGM</a> - A modular open
source model for glacier dynamics.</li>
<li><a href="https://gitlab.com/wgms/glathida">GlaThiDa</a> - Glacier
Thickness Database.</li>
<li><a href="https://github.com/JordiBolibar/ALPGM">ALPGM</a> - Regional
glacier evolution model based on deep learning and
parametrizations.</li>
<li><a href="https://github.com/krisrs1128/glacier_mapping">Glacier
Mapping From Satellite Imagery</a> - Use computer vision to
automatically segment debris and ice glaciers from satellite
images.</li>
<li><a href="https://github.com/nasa-jpl/captoolkit">captoolkit</a> -
NASA’s Cryosphere Altimetry Processing Toolkit.</li>
<li><a href="https://github.com/pism/pism">PISM</a> - The Parallel Ice
Sheet Model is an open source, parallel, high-resolution ice sheet
model.</li>
<li><a href="https://github.com/CICE-Consortium/Icepack">icepack</a> -
Finite element modeling of glaciers and ice sheets.</li>
<li><a href="https://github.com/weiji14/deepbedmap">DeepBedMap</a> -
Using a deep neural network to better resolve the bed topography of
Antarctica.</li>
<li><a href="https://github.com/NOAA-GFDL/SIS2">SIS2</a> - Calculates
the concentration, thickness, temperature, brine content and snow cover
of an arbitrary number of ice thickness categories (including open
water) as well as the motion of the complete pack.</li>
<li><a
href="https://github.com/GEUS-Glaciology-and-Climate/freshwater">freshwater</a>
- Greenland liquid water runoff from 1958 through 2019.</li>
<li><a href="https://github.com/ECCO-GROUP/ECCOv4-py">ecco_v4_py</a> - A
Python package that includes tools for loading and manipulating the ECCO
v4 ocean and sea-ice state estimate.</li>
<li><a href="https://github.com/icesat2py/icepyx">icepyx</a> - Python
tools for obtaining and working with ICESat-2 data.</li>
<li><a href="https://github.com/chadagreene/BedMachine">BedMachine</a> -
Matlab tools for loading, interpolating, and displaying BedMachine ice
sheet topography.</li>
<li><a href="https://github.com/Joel-hanson/Iceberg-locations">Iceberg
Locations</a> - Antarctic large iceberg positions derived from ASCAT and
OSCAT-2.</li>
<li><a href="https://gitlab.awi.de/sicopolis/sicopolis">SICOPOLIS</a> -
A 3-d dynamic/thermodynamic model that simulates the evolution of large
ice sheets and ice caps.</li>
<li><a href="https://github.com/cryotools/cosipy">cosipy</a> - Solves
the energy balance at the surface and is coupled to an adaptive vertical
multi-layer subsurface module.</li>
<li><a href="https://github.com/nsidc/qgreenland">QGreenland</a> - A
free mapping tool to support interdisciplinary Greenland-focused
research, teaching, decision making, and collaboration.</li>
<li><a href="https://github.com/weiji14/deepicedrain">DeepIceDrain</a> -
Mapping and monitoring deep subglacial water activity in Antarctica
using remote sensing and machine learning.</li>
<li><a href="https://github.com/LIVVkit/LIVVkit">LIVVkit</a> - The land
ice verification and validation toolkit.</li>
<li><a
href="https://github.com/GEUS-Glaciology-and-Climate/pypromice">pypromice</a>
- Deliver data about the mass balance of the Greenland ice sheet in near
real-time.</li>
<li><a href="https://github.com/whyjz/GLAFT">GLAFT</a> - Python module
for assessing glacier velocity maps using statistics- and physics-based
metrics.</li>
<li><a href="https://github.com/nasa-jpl/its_live">ITS_LIVE</a> -
Provide automated, low latency, global glacier flow and elevation change
datasets.</li>
<li><a href="https://github.com/ODINN-SciML/ODINN.jl">ODINN.jl</a> -
Global glacier model using Universal Differential Equations for
climate-glacier interactions.</li>
<li><a href="https://github.com/palma-ice/yelmo">Yelmo</a> - A 3D
ice-sheet-shelf model solving for the coupled dynamics and
thermodynamics of the ice sheet system.</li>
<li><a href="https://github.com/RJArthern/WAVI.jl">WAVI.jl</a> - A fast
and friendly ice sheet model, written in Julia.</li>
<li><a href="https://github.com/GEUS-SICE/SICE">SICE</a> - An automated
open source processing chain to determine daily albedo and other surface
properties of glaciated areas.</li>
<li><a href="https://github.com/cryologger/ice-tracking-beacon">Iceberg
Tracking Beacon</a> - A low-cost, robust, and user-friendly ice drift
tracking beacon based on the open-source electronics Arduino platform
capable of providing long-term cryospheric observations.</li>
<li><a
href="https://github.com/cryologger/glacier-velocity-tracker">Glacier
Velocity Tracker</a> - A low-cost, open-source glacier velocity
measurement system intended for use with Precise Point Positioning
techniques.</li>
</ul>
<h3 id="snow-and-permafrost">Snow and Permafrost</h3>
<ul>
<li><a href="https://github.com/acannistra/planet-snowcover">Planet
Snowcover</a> - A project that pairs airborne lidar and Planet Labs
satellite imagery with cutting-edge computer vision techniques to
identify snow-covered area at unprecedented spatial and temporal
resolutions.</li>
<li><a href="https://github.com/smrt-model/smrt">smrt</a> - Snow
Microwave Radiative Transfer model to compute thermal emission and
backscatter from snowpack.</li>
<li><a href="https://github.com/RichardEssery/FSM2">FSM2</a> - The
Flexible Snow Model is a multi-physics energy balance model of snow
accumulation and melt, extending the Factorial Snow Model (Essery, 2015)
with additional physics, driving and output options.</li>
<li><a href="https://gitlab.com/permafrostnet/teaspoon">Teaspoon</a> - A
python library designed to make working with permafrost ground
temperature time series data more straightforward, efficient, and
reproduceable.</li>
<li><a href="https://github.com/jmcook1186/biosnicar-py">BioSNICAR</a> -
Predicts the spectral albedo of snow and glacier ice between 200nm to
5000nm given information about the illumination conditions, ice
structure and the type and concentration particulates.</li>
<li><a href="https://github.com/permamodel/permamodel">Permamodel</a> -
A collection of numerical permafrost models with a range of capability
and complexity.</li>
<li><a href="https://code.wsl.ch/snow-models/snowpack">SNOWPACK</a> - A
multi-purpose snow and land-surface model, which focuses on a detailed
description of the mass and energy exchange between the snow, the
atmosphere and optionally with the vegetation cover and the soil.</li>
<li><a href="https://github.com/ealonsogzl/MuSA">MuSA</a> - A flexible
data assimilation toolbox for experimental and operational snowpack
reanalysis development.</li>
<li><a href="https://github.com/bluegreen-labs/snotelr">snotelr</a> - R
toolbox to facilitate easy SNOTEL data exploration and downloads through
a convenient shiny based GUI.</li>
</ul>
<h2 id="hydrosphere">Hydrosphere</h2>
<h3 id="freshwater-and-hydrology">Freshwater and Hydrology</h3>
<ul>
<li><a href="https://github.com/Ouranosinc/raven">Raven</a> - Made to
help scientists run hydrological modeling experiments with climate
change projections.</li>
<li><a href="https://github.com/ropensci/hydroscoper">hydroscoper</a> -
An R interface to the Greek National Data Bank for Hydrometeorological
Information.</li>
<li><a href="https://github.com/NCAR/wrf_hydro_nwm_public">WRF-Hydro</a>
- A community modeling system and framework for hydrologic modeling and
model coupling.</li>
<li><a href="https://github.com/NCAR/rwrfhydro">rwrfhydro</a> - A
community-contributed tool box for managing, analyzing, and visualizing
WRF Hydro (and HydroDART) input and output files in R.</li>
<li><a
href="https://github.com/UU-Hydro/PCR-GLOBWB_model">PCR-GLOBWB_model</a>
- A large-scale hydrological model intended for global to regional
studies.</li>
<li><a href="https://github.com/hydroshare/hydroshare">HydroShare</a> -
A collaborative website for better access to data and models in the
hydrologic sciences.</li>
<li><a href="https://github.com/DrylandEcology/SOILWAT2">SOILWAT2</a> -
An ecosystem water balance simulation model.</li>
<li><a href="https://github.com/VeinsOfTheEarth/RivGraph">RivGraph</a> -
Extracting and quantifying graphical representations of river and delta
channel networks from binary masks.</li>
<li><a href="https://github.com/cordmaur/WaterDetect">WaterDetect</a> -
End-to-end algorithm to generate open water cover mask, specially
conceived for L2A Sentinel 2 imagery from MAJA1 processor, without any a
priori knowledge on the scene.</li>
<li><a href="https://github.com/FLARE-forecast/FLAREr">FLAREr</a> -
Flexible, scalable, robust, and near-real time iterative ecological
forecasts in lakes and reservoirs.</li>
<li><a href="https://github.com/jmigueldelgado/buhayra">Buhayra</a> -
Obtaining water extent of small reservoirs in semi-arid regions from
satellite data in real-time.</li>
<li><a href="https://github.com/Deltares/Wflow.jl">Wflow</a> - A Julia
package that provides a hydrological modeling framework, as well as
several different vertical and lateral concepts that can be used to run
hydrological simulations.</li>
<li><a href="https://github.com/parflow/parflow">ParFlow</a> - An
open-source, modular, parallel watershed flow model.</li>
<li><a href="https://github.com/sdl60660/river-runner">River Runner</a>
- Visualize the path of a rain droplet from any point in the contiguous
United States to its end point.</li>
<li><a href="https://code.usgs.gov/map/gw/visGWDBmrva">visGWDB</a> - A
framework for groundwater-level informatics.</li>
<li><a href="https://github.com/ESIPFed/LakePy">LakePy</a> - Pythonic
user-centered front-end to the Global Lake Level Database.</li>
<li><a href="https://github.com/mkoohafkan/rivr">rivr</a> - Designed as
an educational tool for students and instructors of undergraduate and
graduate courses in open channel hydraulics.</li>
<li><a href="https://github.com/eWaterCycle/ewatercycle">eWaterCycle</a>
- Makes it easier to use hydrological models without having intimate
knowledge about how to install and run the models.</li>
<li><a href="https://github.com/pastas/pastas">Pastas</a> - An
open-source Python framework for the analysis of groundwater time
series.</li>
<li><a href="https://github.com/UW-Hydro/VIC">VIC</a> - A macroscale
hydrologic model that solves full water and energy balances.</li>
<li><a href="https://github.com/badlands-model/badlands">Badlands</a> -
Basin and Landscape Dynamics is a long-term surface evolution model
built to simulate landscape development, sediment transport and
sedimentary basins formation from upstream regions down to marine
environments.</li>
<li><a href="https://github.com/cont-limno/LAGOSNE">LAGOSNE</a> -
Interface to the LAke multi-scaled GeOSpatial &amp; temporal
database.</li>
<li><a href="https://github.com/OpenTopography/RiverREM">RiverREM</a> -
Make river relative elevation models and REM visualizations from an
input digital elevation model.</li>
<li><a href="https://git.ufz.de/mhm/mhm">mHM</a> - The mesoscale
Hydrological Model.</li>
<li><a href="https://github.com/NASA-LIS/LISF">LISF</a> - A software
framework for high performance terrestrial hydrology modeling and data
assimilation developed with the goal of integrating satellite and
ground-based observational data products.</li>
<li><a href="https://github.com/NOAA-OWP/cfe">Conceptual Functional
Equivalent</a> - A conceptual rainfall-runoff model with an
implementation of the Basic Model Interface.</li>
<li><a
href="https://github.com/neuralhydrology/neuralhydrology">NeuralHydrology</a>
- Python library to train neural networks with a strong focus on
hydrological applications.</li>
<li><a href="https://github.com/mwtoews/surface-water-network">Surface
water network</a> - A Python package to create and analyze surface water
networks.</li>
<li><a href="https://github.com/vcloarec/ReosProject">Lekan</a> -
Provide a software that assists the user doing hydrological and
hydraulic studies for flood mapping and forecasting, hydraulic structure
design, or other tasks linked to natural surface flow.</li>
<li><a href="https://github.com/LabSid-USP/RUBEM">RUBEM</a> - A
distributed hydrological model to calculate monthly flows with changes
in land use over time.</li>
<li><a href="https://github.com/EC-USGS/pywatershed">pywatershed</a> - A
sustainable integrated, hydrologic modeling framework for the U.S.
Geological Survey.</li>
<li><a href="https://github.com/WSWUP/pymetric">pyMETRIC</a> - A set of
Python based tools developed for estimating and mapping
evapotranspiration for large areas, utilizing the Landsat image
archive.</li>
<li><a
href="https://bitbucket.org/blacklandgrasslandmodels/swat_development/src/master/">SWAT</a>
- The Soil &amp; Water Assessment Tool is a small watershed to river
basin-scale model used to simulate the quality and quantity of surface
and ground water and predict the environmental impact of land use, land
management practices, and climate change.</li>
<li><a href="https://github.com/chrisschuerz/SWATrunR">SWATrunR</a> -
Allows the user to control the essential parameters of a SWAT simulation
run, such as model parameter changes, simulation time periods, or time
intervals for printing output used for global soil and water
assessment.</li>
<li><a href="https://github.com/biopsichas/SWATprepR">SWATprepR</a> -
Developed to re-use water and nutrients in small agricultural catchments
across different soil-climatic regions in Europe.</li>
<li><a href="https://github.com/peterson-tim-j/HydroMap">HydroMap</a> -
Mapping of groundwater level for realistic flow flowpaths using
semi-automated kriging.</li>
<li><a
href="https://github.com/peterson-tim-j/HydroSight">HydroSight</a> - A
statistical toolbox for data-driven insights into groundwater dynamics
and aquifer properties. Many hundreds of bores can be easily analysed,
all without any programming.</li>
<li><a href="https://github.com/BASIN-3D/basin3d">basin3d</a> - A
generalized data synthesis model that applies across a variety of earth
science observation types (hydrology, geochemistry, climate etc.).</li>
<li><a
href="https://github.com/timcera/hspfbintoolbox">hspfbintoolbox</a> - A
Python script and library of functions to read Hydrological Simulation
Program Fortran (HSPF) binary files and print to screen.</li>
<li><a href="https://github.com/mentaljam/download_water_data">Download
Water Data</a> - Downloader for the Global Surface Water Data of the
Copernicus Programme.</li>
<li><a href="https://github.com/localdevices/pyorc">pyOpenRiverCam</a> -
Surface velocity, object tracking, and river flow measurements in an
open-source API.</li>
<li><a href="https://github.com/SHUD-System/SHUD">SHUD</a> - A
multi-process, multi-scale integrated hydrological model using the
semi-discrete Finite Volume Method.</li>
<li><a href="https://github.com/changliao1025/pyflowline">PyFlowline</a>
- A mesh independent river network generator for hydrologic models.</li>
<li><a
href="https://github.com/changliao1025/pyhexwatershed">HexWatershed</a>
- A mesh independent flow direction model for hydrologic models.</li>
<li><a href="https://github.com/VeinsOfTheEarth/rabpro">rabpro</a> -
Delineating watershed basins and computing attribute statistics using
Google Earth Engine.</li>
<li><a href="https://github.com/Deltares/imod-python">imod</a> - An open
source project to make working with MODFLOW groundwater models in Python
easier.</li>
<li><a href="https://github.com/dalmo1991/superflexPy">SuperflexPy</a> -
An open-source framework written in Python for constructing flexible,
conceptual, distributed hydrological models.</li>
<li><a href="https://github.com/hydpy-dev/hydpy">HydPy</a> - An
interactive framework for developing and applying different types of
hydrological models, originally developed at the Ruhr-University Bochum
for specific research purposes.</li>
<li><a href="https://github.com/JGCRI/xanthos">Xanthos</a> - An
open-source hydrologic model, written in Python, designed to quantify
and analyze global water availability.</li>
<li><a href="https://github.com/gwmod/nlmod">nlmod</a> - Python package
to build, run and visualize MODFLOW 6 groundwater models in the
Netherlands.</li>
<li><a
href="https://github.com/cyschneck/centerline-width">Centerline-Width</a>
- A Python package to find the centerline and width of rivers based on
the latitude and longitude of the right and left bank.</li>
<li><a href="https://github.com/smnorris/fwapg">fwapg</a> - Extends
British Columbia’s Freshwater Atlas with PostgreSQL/PostGIS.</li>
<li><a href="https://github.com/respec/HSPsquared">HSPsquared</a> - A
Python port of the Hydrological Simulation Program - FORTRAN, which has
been used worldwide for more than 40 years to support water resources
planning and management.</li>
</ul>
<h3 id="ocean-circulation-models">Ocean Circulation Models</h3>
<ul>
<li><a href="https://github.com/NOAA-GFDL/MOM6">MOM6</a> - A numerical
representation of the ocean fluid with applications from the process
scale to the planetary circulation scale.</li>
<li><a href="https://github.com/mom-ocean/MOM5">MOM5</a> - A numerical
ocean model based on the hydrostatic primitive equations.</li>
<li><a href="https://github.com/NorESMhub/BLOM">Bergen Layered Ocean
Model</a> - Employs an isopycnic vertical coordinate, with
near-isopycnic interior layers and variable density layers in the
surface mixed boundary layer.</li>
<li><a
href="https://github.com/CliMA/Oceananigans.jl">Oceananigans.jl</a> -
Fast and friendly fluid dynamics on CPUs and GPUs.</li>
<li><a href="https://forge.nemo-ocean.eu/nemo/nemo">NEMO</a> - Nucleus
for European Modelling of the Ocean is a state-of-the-art modeling
framework for research activities and forecasting services in ocean and
climate sciences.</li>
<li><a href="https://code.google.com/archive/p/gold-omod/">GOLD</a> -
Stands for Generalized Ocean Layer Dynamics and is a hybrid coordinate
finite volume ocean model code funded by NOAA and developed by the ocean
group at NOAA-GFDL and Princeton University.</li>
<li><a href="https://github.com/team-ocean/veros">Veros</a> - Powerful
tool that makes high-performance ocean modeling approachable and
fun.</li>
<li><a href="https://github.com/MITgcm/MITgcm">MITgcm</a> - A flexible
non-hydrostatic formulation that efficiently simulates fluid phenomena
over a wide range of scales.</li>
<li><a href="https://github.com/NCAR/ccpp-physics">ccpp-physics</a> -
The Common Community Physics Package is designed to facilitate the
implementation of physics innovations in state-of-the-art atmospheric
models, the use of various models to develop physics, and the
acceleration of transition of physics innovations to operational NOAA
models.</li>
<li><a
href="https://github.com/Mohid-Water-Modelling-System/MOHID-Lagrangian">MOHID-Lagrangian</a>
- Mainly developed for oceanographic and fluvial modeling, application
to atmospheric and other planetary settings should be trivial.</li>
<li><a
href="https://github.com/Mohid-Water-Modelling-System/Mohid">Mohid</a> -
A modular finite volumes water-modeling system written in ANSI-Fortran95
using an Object-oriented programming philosophy, integrating diverse
mathematical models and supporting graphical user interfaces that manage
all the pre- and post-processing.</li>
<li><a href="https://github.com/meom-group/CDFTOOLS">CDFTOOLS</a> - A
Fortran package for analysis and diagnostics on NEMO ocean model
output.</li>
<li><a href="https://github.com/gotm-model/code">GOTM</a> - The General
Ocean Turbulence Model is an ambitious name for a one-dimensional water
column model for marine and limnological applications.</li>
<li><a href="https://github.com/myroms/roms">ROMS</a> - A free-surface,
terrain-following, primitive equations ocean model widely used by the
scientific community for a diverse range of applications.</li>
<li><a href="https://github.com/ESMG/pyroms">pyroms</a> - A collection
of tools to process input and output files from the Regional Ocean
Modeling System.</li>
<li><a href="https://github.com/NCAR/wrf_hydro_py">wrfhydropy</a> -
Provides an end-to-end python interface to support reproducible research
and construction of workflows involving the WRF-Hydro model.</li>
<li><a href="https://github.com/HYCOM/HYCOM-src">HYCOM</a> - A
three-dimensional depiction of the ocean state at fine resolution in
real time, provision of boundary conditions for coastal and regional
models, and provision of oceanic boundary conditions for a global
coupled ocean-atmosphere prediction model.</li>
<li><a href="https://github.com/josuemtzmo/trackeddy">TrackEddy</a> -
Used to investigate trends of eddy kinetic energy in the ocean using
satellite sea surface height anomaly.</li>
</ul>
<h3 id="waves-and-currents">Waves and Currents</h3>
<ul>
<li><a
href="https://github.com/onaci/leaflet-velocity">leaflet-velocity</a> -
Create a canvas visualization layer for direction and intensity of
arbitrary velocities (e.g. wind, ocean current).</li>
<li><a href="https://github.com/OpenDrift/opendrift">OpenDrift</a> - A
software for modeling the trajectories and fate of objects or substances
drifting in the ocean, or even in the atmosphere.</li>
<li><a href="https://github.com/passaH2O/dorado">dorado</a> - Simulating
passive Lagrangian particle transport over flow-fields from any 2D
shallow-water hydrodynamic model using a weighted random walk
methodology.</li>
<li><a href="https://github.com/OceanParcels/parcels">parcels</a> - Can
be used to track passive and active particulates such as water,
plankton, plastic and fish.</li>
<li><a href="https://github.com/wavespectra/wavespectra">wavespectra</a>
- An open source project for working with ocean wave spectral data.</li>
<li><a href="https://github.com/CliMA/LESbrary.jl">LESbrary.jl</a> -
Generating a library of ocean turbulence large eddy simulation data to
train ocean and climate models.</li>
</ul>
<h3 id="ocean-carbon-and-temperature">Ocean Carbon and Temperature</h3>
<ul>
<li><a href="https://github.com/jamesorr/CO2SYS-MATLAB">CO2SYS</a> - A
MATLAB (or Octave) project to compute variables of ocean CO2
systems.<br />
</li>
<li><a href="https://github.com/mvdh7/PyCO2SYS">PyCO2SYS</a> - Marine
carbonate system calculations in Python.</li>
<li><a href="https://github.com/oceanflux-ghg/FluxEngine">FluxEngine</a>
- An open source atmosphere ocean gas flux data processing toolbox.</li>
<li><a href="https://github.com/jpgattuso/seacarb-git">seacarb</a> - An
R package that calculates various parameters of the carbonate system in
seawater.</li>
<li><a href="https://forge.ird.fr/us191/TSG-QC">TSG-QC</a> - Analysis
and validation of underway Sea Surface Temperature and Sea Surface
Salinity measurements from a SeaBird Thermosalinograph.</li>
<li><a href="https://github.com/OHI-Science/ohi-global">Ocean Health
Index Scores</a> - Provide invaluable, comprehensive, and quantitative
assessments of progress towards healthy and sustainable oceans.</li>
<li><a href="https://github.com/pmlmodelling/ersem">ERSEM</a> - A marine
biogeochemical and ecosystem model that describes the cycling of carbon,
nitrogen, phosphorus, silicon, oxygen and iron through the lower trophic
level pelagic and benthic ecosystems.</li>
<li><a href="https://github.com/JuliaOcean/AIBECS.jl">AIBECS.jl</a> - A
Julia package that provides ocean biogeochemistry modelers with an
easy-to-use interface for creating and running models of the ocean
system.</li>
<li><a href="https://github.com/jamesorr/mocsy">mocsy</a> - Routines to
model ocean carbonate system thermodynamics.</li>
<li><a href="https://github.com/oscarbranson/cbsyst">cbsyst</a> - A
Python module for calculating seawater carbon and boron chemistry.</li>
<li><a
href="https://github.com/Open-Acidification/AlkalinityTitrator">Open
Acidification Project</a> - Apparatus to determine total alkalinity in
sea water using an open-cell titration.</li>
<li><a href="https://github.com/ZijieZhaoMMHW/m_mhw1.0">m_mhw</a> -
Detect and analyse spatial marine heatwaves.</li>
<li><a href="https://github.com/IQuOD/AutoQC">AutoQC</a> - A testing
suite for automatic quality control checks of subsurface ocean
temperature observations.</li>
<li><a
href="https://github.com/ecjoliver/marineHeatWaves">marineHeatWaves</a>
- A module for Python which implements the Marine Heatwave definition of
Hobday et al. (2016).</li>
<li><a href="https://github.com/robwschlegel/heatwaveR">heatwaveR</a> -
Contains the original functions from the RmarineHeatWaves package that
calculate and display marine heatwaves according to the definition of
Hobday et al. (2016).</li>
<li><a href="https://github.com/TEOS-10/GSW-Python">GSW-Python</a> -
This Python implementation of the Thermodynamic Equation of Seawater
2010.</li>
</ul>
<h3 id="coastal-and-reefs">Coastal and Reefs</h3>
<ul>
<li><a
href="https://github.com/chrisleaman/py-wave-runup">py-wave-runup</a> -
A Python module which makes it easy for coastal engineers and scientists
to test and use various empirical wave runup models which have been
published in literature.</li>
<li><a href="https://github.com/kvos/CoastSat">CoastSat</a> - Enables
users to obtain time-series of shoreline position at any coastline
worldwide from 30+ years of publicly available satellite imagery.</li>
<li><a href="https://github.com/floschl/pysamosa">PySAMOSA</a> - A
Python-based software for processing open ocean and coastal waveforms
from SAR satellite altimetry to measure sea surface heights, wave
heights, and wind speed for the oceans and inland waters.</li>
<li><a
href="https://github.com/GeoscienceAustralia/dea-coastlines">Digital
Earth Australia Coastlines</a> - Extracting tidally-constrained annual
shorelines and robust rates of coastal change from freely available
Earth observation data at continental scale.</li>
<li><a href="https://github.com/thetisproject/thetis">Thetis</a> - An
unstructured grid coastal ocean model built using the Firedrake finite
element framework.</li>
<li><a href="https://github.com/CHLNDDEV/OceanMesh2D">OceanMesh2D</a> -
Precise distance-based two-dimensional automated mesh generation toolbox
intended for coastal ocean/shallow water flow models.</li>
<li><a href="https://github.com/CHLNDDEV/oceanmesh">oceanmesh</a> - A
Python package for the development of unstructured triangular meshes
that are used in the simulation of coastal ocean circulation.</li>
<li><a href="https://github.com/openearth/aeolis-python">AeoLiS</a> -
Simulating aeolian sediment transport in situations where
supply-limiting factors are important, like in coastal
environments.</li>
<li><a href="https://github.com/REEF3D/REEF3D">REEF3D</a> - An
efficiently parallelized hydrodynamics framework with a focus on
coastal, marine and hydraulic engineering flows.</li>
<li><a
href="https://github.com/BoldingBruggeman/getm-rewrite">pygetm</a> - A
Python rewrite of the General Estuarine Transport Model.</li>
<li><a href="https://github.com/NOAA-ORR-ERD/PyGnome">PyGnome</a> - It
is designed to support oil and other hazardous material spills in the
coastal environment.</li>
<li><a
href="https://github.com/maureentsakiris/coastwards">Coastwards</a> - A
global citizen science project to help scientists study the risks of
sea-level rise.</li>
<li><a href="https://github.com/Smithsonian/CCN-Data-Library">Coastal
Carbon Network Data Library</a> - Accelerating the pace of discovery in
coastal wetland carbon science by providing our community with access to
data, analysis tools, and synthesis opportunities.</li>
</ul>
<h3 id="ocean-and-hydrology-data-access">Ocean and Hydrology Data
Access</h3>
<ul>
<li><a href="https://github.com/cheginit/HyRiver">HyRiver</a> - A Python
software stack for retrieving hydroclimate data from web services.</li>
<li><a href="https://github.com/hyriver/pydaymet">pydaymet</a> -
Retrieving and post-processing climate data from the Daymet
Webservice.</li>
<li><a href="https://github.com/euroargodev/argopy">argopy</a> - A
global network of nearly 4000 autonomous probes measuring pressure,
temperature and salinity from the surface to 2000m depth every 10
days.</li>
<li><a href="https://github.com/ropensci/tidyhydat">tidyhydat</a> - An R
package to import Water Survey of Canada hydrometric data and make it
tidy.</li>
<li><a href="https://github.com/castelao/oceansdb">OceansDB</a> - A
database of marine reference data like climatologies and
bathymetry.</li>
<li><a href="https://github.com/USGS-CMG/stglib">stglib</a> - Routines
used by the USGS Coastal/Marine Hazards &amp; Resources Program to
process oceanographic time-series data.</li>
<li><a href="https://github.com/GClunies/noaa_coops">noaa_coops</a> - A
Python wrapper for the NOAA CO-OPS Tides &amp; Currents Data and
Metadata APIs.</li>
<li><a href="https://github.com/NOAA-PMEL/Ferret">Ferret</a> - An
interactive computer visualization and analysis environment designed to
meet the needs of oceanographers and meteorologists analyzing large and
complex gridded datasets.</li>
<li><a
href="https://github.com/AustralianAntarcticDivision/blueant">Blueant</a>
- Environmental data for Antarctic and Southern Ocean science.</li>
<li><a href="https://github.com/NCAR/VAPOR">VAPOR</a> - The
Visualization and Analysis Platform for Ocean, Atmosphere and Solar
Researchers.</li>
<li><a
href="https://github.com/DFO-Ocean-Navigator/Ocean-Data-Map-Project">Ocean-Data-Map-Project</a>
- A Data Visualization tool that enables users to discover and view 3D
ocean model output quickly and easily.</li>
<li><a href="https://github.com/hainegroup/oceanspy">OceanSpy</a> - An
open source and user-friendly Python package that enables scientists and
interested amateurs to analyze and visualize ocean model datasets.</li>
<li><a href="https://github.com/dankelley/oce">oce</a> - An R package
for oceanographic processing.</li>
<li><a href="https://github.com/ghiggi/gpm_api">GPM-API</a> - Provides
an easy-to-use python interface to download, read, process and visualize
most of the products of the Global Precipitation Measurement Mission
(GPM) data archive.</li>
<li><a href="https://github.com/ropensci/hddtools">hddtools</a> - An
open source project designed to facilitate access to a variety of online
open data sources relevant for hydrologists and, in general,
environmental scientists and practitioners.</li>
<li><a href="https://github.com/hydroversebr/hydrobr">hydrobr</a> - Help
users select, download and clean data from pluvio- and fluviometric
stations from the Brazilian National Water Agency.</li>
<li><a href="https://github.com/EMODnet/EMODnetWFS">EMODnetWFS</a> -
Allow interrogation of and access to EMODnet(European Marine Observation
and Data Network) geographic vector data in R though the EMODnet Web
Feature Services.</li>
<li><a href="https://github.com/stoqs/stoqs">STOQS</a> - Geospatial
database visualization software for oceanographic measurement data.</li>
<li><a href="https://github.com/C4IROcean/odp-sdk-python">odp_sdk</a> -
Download queried ocean data easily and efficiently into data frames, for
easy exploring and further processing in your data science project.</li>
<li><a href="https://github.com/aodn/aodn-portal">AODN Portal</a> - The
gateway to Australian marine and climate science data.</li>
<li><a href="https://github.com/openearth/sealevel">Sea-level
monitor</a> - Tools and applications used to monitor sea-level
rise.</li>
<li><a
href="https://github.com/oceannetworkscanada/api-python-client">Ocean
Networks Canada</a> - Provides easy access to Ocean Networks Canada data
in Python.</li>
<li><a href="https://github.com/USEPA/StreamCat">StreamCat</a> -
Provides summaries of natural and anthropogenic landscape features for
~2.65 million streams, and their associated catchments, within the
conterminous USA.</li>
<li><a href="https://github.com/matplotlib/cmocean">cmocean</a> -
Colormap setup for standardizing commonly-plotting oceanographic
variables.</li>
<li><a
href="https://github.com/jhnienhuis/GlobalDeltaChange">GlobalDeltaChange</a>
- A theoretical framework to predict delta morphology and delta change,
and a set of codes to make this predictions on a global scale for about
11,000 deltas.</li>
<li><a
href="https://github.com/amandasaurus/waterwaymap.org">WaterwayMap</a> -
River Basins from OpenStreetMap.</li>
<li><a href="https://github.com/joshualerickson/gwavr">gwavr</a> -
Allows the user to point and click on areas within the United States and
get back hydrological data, e.g. flowlines, catchments, basin
boundaries, comids, etc.</li>
</ul>
<h2 id="atmosphere">Atmosphere</h2>
<h3 id="atmospheric-composition-and-dynamics">Atmospheric Composition
and Dynamics</h3>
<ul>
<li><a href="https://github.com/Climdyn/qgs">qgs</a> - Models the
dynamics of a 2-layer quasi-geostrophic channel atmosphere on a
beta-plane, coupled to a simple land or shallow-water ocean
component.</li>
<li><a href="https://github.com/timduly4/pyglow">pyglow</a> - A Python
module that wraps several upper atmosphere climatological models written
in FORTRAN.</li>
<li><a href="https://github.com/Open-MSS/MSS">Mission Support System</a>
- A collaboration server to plan atmospheric research flights.</li>
<li><a href="https://github.com/mjucker/MiMA">MiMA</a> - Model of an
idealized Moist Atmosphere: Intermediate-complexity General Circulation
Model with full radiation.</li>
<li><a href="https://github.com/ExeClim/Isca">Isca</a> - A framework for
the idealized modeling of the global circulation of planetary
atmospheres at varying levels of complexity and realism.</li>
<li><a href="https://github.com/pankajkarman/pyvortex">pyvortex</a> -
Equivalent Latitude and polar vortex edge calculation using Nash
criteria.</li>
<li><a href="https://github.com/CliMA/ClimaAtmos.jl">ClimaAtmos.jl</a> -
A library for building atmospheric circulation models that is designed
from the outset to leverage data assimilation and machine learning
tools.</li>
<li><a href="https://github.com/skaderli/WaveBreaking">WaveBreaking</a>
- A python package that provides detection, classification and tracking
of Rossby Wave Breaking in weather and climate data.</li>
<li><a href="https://github.com/atmtools/typhon">typhon</a> - A
collection of tools for atmospheric research with Python 3.</li>
<li><a href="https://github.com/ai2cm/pace">Pace</a> - A implementation
of the FV3GFS / SHiELD atmospheric model developed by NOAA/GFDL using
the GT4Py domain-specific language in Python.</li>
<li><a href="https://github.com/projecthorus/radiosonde_auto_rx">Project
Horus</a> - A Amateur Radio High Altitude Ballooning project.</li>
<li><a href="https://github.com/moulin1024/ANEMOI">ANEMOI</a> -
Large-eddy simulation code written in CUDA Fortran for simulating
atmospheric boundary layer flows.</li>
<li><a href="https://github.com/cedadev/cis">CIS</a> - An open source
command-line tool for easy collocation, visualization, analysis, and
comparison of diverse gridded and ungridded datasets used in the
atmospheric science.</li>
<li><a href="https://github.com/columncolab/EMC2">EMC²</a> - An open
source framework for atmospheric model and observational column
comparison.</li>
<li><a href="https://github.com/Unidata/science-gateway">Unidata Science
Gateway</a> - Provide the academic and research community an environment
they can employ to access, analyze and visualize real-time and case
study Earth system science data.</li>
<li><a href="https://github.com/kylejgillett/sounderpy">SounderPy</a> -
A python package that helps you to access and plot vertical profile data
for meteorological analysis.</li>
<li><a href="https://github.com/sharppy/SHARPpy">SHARPpy</a> - A
collection of open source sounding and hodograph analysis routines, a
sounding plotting package, and an interactive, cross-platform
application for analyzing real-time soundings all written in
Python.</li>
<li><a href="https://github.com/tsherwen/AC_tools">AC_tools</a> -
Contains functions and scripts used for working with atmospheric model
output and observational data.</li>
<li><a href="https://github.com/ARM-DOE/ACT">ACT</a> - The Atmospheric
data Community Toolkit is an open source Python toolkit for working with
atmospheric time-series datasets of varying dimensions.</li>
<li><a href="https://gitlab.dkrz.de/freva/evaluation_system">Freva</a> -
A data search and analysis platform developed by the atmospheric science
community for the atmospheric science community.</li>
<li><a
href="https://github.com/SpeedyWeather/SpeedyWeather.jl">SpeedyWeather.jl</a>
- A global spectral atmospheric model with simple physics which is
developed as a research playground with an everything-flexible attitude
as long as it is speedy.</li>
<li><a
href="https://github.com/AugustinMortier/a-profiles">A-Profiles</a> - A
python library dedicated to the analysis of atmospheric profilers
measurements.</li>
<li><a href="https://github.com/ncar/lrose-core">LROSE</a> - The Lidar
Radar Open Software Environment for Atmospheric Science.</li>
<li><a
href="https://github.com/CliMA/CalibrateEDMF.jl">CalibrateEDMF.jl</a> -
Calibrate atmospheric turbulence and convection parameterizations using
gradient-free ensemble Kalman methods.</li>
<li><a href="https://github.com/Thomasjkeel/jsmetrics">jsmetrics</a> -
An open-source Python package containing implementations of various
statistics and algorithms which have been developed to identify or
characterise jet streams.</li>
<li><a href="https://github.com/observingClouds/pysonde">pySonde</a> -
Converts Vaisala’s radiosonde files (mwx) to netCDF4 and interpolates
them if needed to a common height grid for easier processing.</li>
</ul>
<h3 id="atmospheric-dispersion-and-transport">Atmospheric Dispersion and
Transport</h3>
<ul>
<li><a href="https://github.com/slcs-jsc/mptrac">MPTRAC</a> - A
Lagrangian particle dispersion model for the analysis of atmospheric
transport processes in the free troposphere and stratosphere.</li>
<li><a href="https://github.com/GralDispersionModel/GRAL">GRAL</a> - A
Lagrangian dispersion model with reasonable demands on computational
times and sensible accuracy.</li>
<li><a href="https://github.com/metno/snap">SNAP</a> - A lagrangian type
atmospheric dispersion model specialized on modelling dispersion of
radioactive debris.</li>
<li><a
href="https://github.com/aefarrell/GasDispersion.jl">GasDispersion.jl</a>
- A set of tools for atmospheric dispersion modeling of gaseous
releases, such as might occur during an emergency at a chemical plant or
more routinely from a stack.</li>
<li><a href="https://github.com/Cloud-Drift/clouddrift">CloudDrift</a> -
Accelerates the use of Lagrangian data for atmospheric, oceanic, and
climate sciences.</li>
<li><a href="https://github.com/ihesp/IPART">IPART</a> - A Python
package for automated Atmospheric River (AR) detection, axis finding and
AR tracking from gridded Integrated Vapor Transport data.</li>
<li><a href="https://github.com/WAM2layers/WAM2layers">WAM2layers</a> -
Used to determine where precipitation originally evaporated
(backtracking), or where evaporated moisture eventually ends up (forward
tracking).</li>
</ul>
<h3 id="atmospheric-chemistry-and-aerosol">Atmospheric Chemistry and
Aerosol</h3>
<ul>
<li><a href="https://github.com/geoschem/geos-chem">GEOS-Chem</a> -
Advance understanding of human and natural influences on the environment
through a comprehensive, state-of-the-science, readily accessible global
model of atmospheric composition.</li>
<li><a href="https://github.com/geoschem/gcpy">gcpy</a> - A Python-based
toolkit containing useful functions for working specifically with the
GEOS-Chem model of atmospheric chemistry and composition.</li>
<li><a href="https://github.com/compdyn/partmc">PartMC</a> -
Particle-resolved Monte Carlo code for atmospheric aerosol
simulation.</li>
<li><a href="https://github.com/simonom/PyCHAM">PyCHAM</a> - CHemistry
with Aerosol Microphysics in Python box model for Windows, Linux and
Mac.</li>
<li><a href="https://jugit.fz-juelich.de/clams/CLaMS">Chemical
Lagrangian Model of the Stratosphere</a> - A world leader in simulating
exchange processes in the atmosphere across transport barriers such as
stratosphere-troposphere exchange.</li>
<li><a href="https://github.com/loftytopping/PyBox">PyBox</a> - A Python
based box-model generator and simulator designed for atmospheric
chemistry and aerosol studies.</li>
<li><a href="https://github.com/NCAR/micm">MICM Chemistry</a> - A unique
chemistry module that can be implemented in any atmosphere model used at
NCAR.</li>
<li><a href="https://github.com/open-atmos/PySDM">PySDM</a> - Pythonic
particle-based warm-rain/aqueous-chemistry cloud microphysics
package.</li>
<li><a href="https://github.com/darothen/pyrcel">pyrcel</a> - An
implementation of a simple, adiabatic cloud parcel model for use in
aerosol-cloud interaction studies.</li>
<li><a href="https://github.com/ORAC-CC/orac">ORAC</a> - An optimal
estimation retrieval scheme for the estimation of aerosol and cloud
properties from a wide range of visible-infrared imaging satellites,
such as MODIS, AATSR, AVHRR and SEVIRI.</li>
<li><a href="https://github.com/open-atmos/camp">CAMP</a> - Allows a
given chemical mechanism to be solved in atmospheric models with
different aerosol representations.</li>
<li><a href="https://github.com/metno/pyaerocom">pyaerocom</a> - An open
international initiative of scientists interested in the advancement of
the understanding of the global aerosol and its impact on climate.</li>
<li><a href="https://github.com/quant-aq/py-smps">py-smps</a> - Python
package for analyzing and visualizing size-resolved aerosol data from a
variety of aerosol sizing instruments.</li>
<li><a href="https://github.com/noaa-oar-arl/MONET">MONET</a> - An
open-source project and Python package that aims to create a common
platform for atmospheric composition data analysis for weather and air
quality models.</li>
<li><a href="https://github.com/MIT-LAE/APCEMM">APCEMM</a> - Aims to
assess the chemical and microphysical perturbations introduced by a
conventional aircraft, equipped with gas turbine engines.</li>
<li><a href="https://github.com/eurec4a/eurec4a-intake">EUREC4A Intake
catalogue</a> - Access to data from the EUREC4A field campaign, which
aims to improve the understanding of the interplay between clouds,
convection and circulation and their role in climate change.</li>
<li><a
href="https://github.com/ecmwf-ifs/dwarf-p-cloudsc">dwarf-p-cloudsc</a>
- Standalone mini-app of the ECMWF cloud microphysics
parameterization.</li>
<li><a href="https://github.com/igfuw/UWLCM">UWLCM</a> - A tool for
numerical modeling of clouds using LES model of turbulence and
Lagrangian cloud microphysics.</li>
<li><a href="https://github.com/yoctoyotta1024/CLEO">CLEO</a> - A
library for Super-Droplet Model (SDM) cloud microphysics.</li>
</ul>
<h3 id="meteorological-observation-and-forecast">Meteorological
Observation and Forecast</h3>
<ul>
<li><a href="https://github.com/python-windrose/windrose">windrose</a> -
A graphic tool used by meteorologists to give a succinct view of how
wind speed and direction are typically distributed at a particular
location.</li>
<li><a href="https://github.com/dtcenter/METplus">METplus</a> - A
verification framework that spans a wide range of temporal
(warn-on-forecast to climate) and spatial (storm to global) scales.</li>
<li><a href="https://github.com/wrf-model/WRF">WRF-ARW</a> - The
official repository for the Weather Research and Forecasting model.</li>
<li><a href="https://github.com/NCAR/wrf-python">wrf-python</a> - A
collection of diagnostic and interpolation routines for use with output
from the Weather Research and Forecasting Model.</li>
<li><a href="https://github.com/open-meteo/open-meteo">Open-Meteo</a> -
Global weather API for non-commercial use with hourly weather
forecast.</li>
<li><a href="https://github.com/rich-iannone/stationaRy">stationaRy</a>
- Get hourly meteorological data from one of thousands of global
stations.</li>
<li><a href="https://github.com/ropensci/weathercan">weathercan</a> -
This package makes it easier to search for and download multiple
months/years of historical weather data from the Environment and Climate
Change Canada (ECCC) website.</li>
<li><a href="https://github.com/eliocamp/metR">metR</a> - Several
functions and utilities that make R better for handling meteorological
data in the tidy data paradigm.</li>
<li><a href="https://github.com/bczernecki/climate">climate</a> - The
goal of the climate R package is to automatize downloading of
meteorological and hydrological data from publicly available
repositories.</li>
<li><a href="https://github.com/brry/rdwd">rdwd</a> - An R package to
select, download and read climate data from the German Weather
Service.</li>
<li><a href="https://github.com/Unidata/MetPy">MetPy</a> - A collection
of tools in Python for reading, visualizing and performing calculations
with weather data.</li>
<li><a
href="https://github.com/earthobservations/wetterdienst">wetterdienst</a>
- Trying to make access to weather data in Python feel like a warm
summer breeze.</li>
<li><a href="https://github.com/Unidata/awips2">AWIPS</a> - The Advanced
Weather Interactive Processing System is a meteorological display and
analysis package originally developed by the National Weather Service
and Raytheon.</li>
<li><a href="https://github.com/ecmwf/metview-python">Metview Python
bindings</a> - Python interface to Metview, a meteorological workstation
and batch system for accessing, examining, manipulating and visualising
meteorological data.</li>
<li><a href="https://github.com/blaylockbk/Herbie">Herbie</a> - A python
package that downloads recent and archived numerical weather prediction
model output from different cloud archive sources.</li>
<li><a href="https://github.com/sandialabs/MEWS">MEWS</a> - A Python
package designed to add extreme weather events to existing weather data
or projections.</li>
<li><a href="https://github.com/openeemeter/eeweather">eeweather</a> -
Fetch NCDC ISD, TMY3, or CZ2010 weather data that corresponds to ZIP
Code Tabulation Areas or Latitude/Longitude.</li>
<li><a href="https://gitlab.com/wxmetvis/met.3d">met.3D</a> -
Interactive three-dimensional visualization of numerical ensemble
weather predictions and similar numerical atmospheric model
datasets.</li>
<li><a href="https://github.com/ajwdewit/agera5tools">agera5tools</a> -
Tools for mirroring, manipulating and serving Global Weather for
Agriculture data (AgERA5).</li>
<li><a href="https://github.com/meteoinfo/MeteoInfo">MeteoInfo</a> - GIS
and scientific computation environment for meteorological
community.</li>
<li><a href="https://github.com/bczernecki/thundeR">thundeR</a> - Rapid
computation and visualisation of convective parameters from rawinsonde
and Numerical weather prediction data.</li>
<li><a href="https://github.com/atmoswing/atmoswing">AtmoSwing</a> -
Allow predicting local meteorological variables of interest, such as the
daily precipitation, based on synoptic variables.</li>
<li><a
href="https://github.com/ufs-community/ufs-weather-model">ufs-weather-model</a>
- Contains the model code and external links needed to build the Unified
Forecast System atmosphere model and associated components, including
the WaveWatch III model.</li>
<li><a
href="https://github.com/google-research/weatherbench2">WeatherBench
2</a> - A framework for evaluating and comparing data-driven and
traditional numerical weather forecasting models.</li>
<li><a href="https://github.com/yotkadata/meteo_hist">MeteoHist</a> - A
Streamlit app to create interactive temperature and precipitation graphs
for places around the world.</li>
<li><a
href="https://github.com/ecmwf/ecpoint-calibrate">ecPoint-Calibrate</a>
- A software that uses conditional verification tools to compare
numerical weather prediction model outputs against point observations
and, in this way, anticipate sub-grid variability and identify biases at
grid scale.</li>
<li><a href="https://github.com/iamsaswata/imdlib">imdlib</a> - Download
and handle binary grided data from Indian Meterological department.</li>
<li><a href="https://github.com/openclimatefix/metnet">MetNet</a> - A
neural network that forecasts precipitation up to 8 hours into the
future at the high spatial resolution of 1 km² and at the temporal
resolution of 2 minutes with a latency in the order of second.</li>
<li><a href="https://github.com/uribo/jmastats">jmastats</a> - Download
Weather Data from Japan Meteorological Agency Website.</li>
<li><a href="https://github.com/akrherz/pyIEM">pyIEM</a> - A collection
of python support things that make my weather processing work,
work.</li>
<li><a href="https://github.com/MetOffice/forest">forest</a> - Forecast
and Observation Research and Evaluation Survey Tool.</li>
<li><a
href="https://gitlab.jsc.fz-juelich.de/esde/machine-learning/ambs">AMBS</a>
- The Atmopsheric Machine Learning Benchmarking System aims to provide
state-of-the-art video prediction methods applied to the meteorological
domain.</li>
<li><a href="https://github.com/GIS4WRF/gis4wrf">gis4wrf</a> - A free
and open source QGIS plug-in to help researchers and practitioners with
their Advanced Research Weather Research and Forecasting modeling
workflows.</li>
<li><a href="https://github.com/meteostat/weather-stations">Weather
Stations</a> - A list of public weather stations everyone can edit and
share.</li>
<li><a href="https://github.com/Unidata/gempak">GEMPAK</a> - Analysis
and product generation for meteorological data.</li>
<li><a href="https://github.com/anikfal/PostWRF">PostWRF</a> -
Visualization and postprocessing of the WRF and ERA5 data.</li>
<li><a href="https://github.com/google-deepmind/graphcast">GraphCast</a>
- Learning skillful medium-range global weather forecasting.</li>
<li><a href="https://github.com/openclimatefix/graph_weather">Graph
Weather</a> - Data-driven approach for forecasting global weather using
graph neural network.</li>
<li><a href="https://github.com/jdemaeyer/brightsky">brightsky</a> - A
JSON API for Germany’s meteorological service as part of their Open Data
program.</li>
<li><a href="https://github.com/akrherz/iem">IEM</a> - A website that
provides weather data and forecasts for Iowa and the world.</li>
<li><a href="https://github.com/metoppv/improver">IMPROVER</a> - A
library of algorithms for meteorological post-processing and
verification.</li>
<li><a href="https://github.com/HFAiLab/OpenCastKit">OpenCastKit</a> -
Open-source solutions of global data-driven high-resolution weather
forecasting.</li>
<li><a href="https://github.com/ECCC-MSC/msc-animet">MSC AniMet</a> - A
simple tool enabling users to interact with MSC Open Data weather data
and create custom weather animations for any area in the world.</li>
<li><a
href="https://github.com/Ingenjorsarbete-For-Klimatet/ifk-smhi">ifk-smhi</a>
- Python interface to the Swedish Meteorological and Hydrological
Institute, which provides climate and weather data.</li>
</ul>
<h3 id="radiative-transfer">Radiative Transfer</h3>
<ul>
<li><a href="https://github.com/space-physics/lowtran">lowtran</a> -
Atmospheric absorption extinction, scatter and irradiance model in
Python and Matlab.</li>
<li><a
href="https://github.com/RemoteSensingTools/vSmartMOM.jl">vSmartMOM.jl</a>
- A full end-to-end modular software suite for radiative transfer and
related atmospheric analysis.</li>
<li><a href="http://www.libradtran.org/">libRadtran</a> - A collection
of C and Fortran functions and programs for calculation of solar and
thermal radiation in the Earth’s atmosphere.</li>
<li><a href="https://github.com/atmtools/arts">ARTS</a> - A radiative
transfer model for the millimeter and sub-millimeter spectral
range.</li>
<li><a href="https://github.com/robintw/Py6S">Py6S</a> - A Python
interface to the 6S Radiative Transfer Model.</li>
<li><a
href="https://github.com/earth-system-radiation/rte-rrtmgp">RTE+RRTMGP</a>
- A set of codes for computing radiative fluxes in planetary
atmospheres.</li>
<li><a href="https://github.com/AER-RC/LBLRTM">LBLRTM</a> - Line-By-Line
Radiative Transfer Model is an accurate and efficient line-by-line
radiative transfer model derived from the Fast Atmospheric Signature
Code.</li>
<li><a href="https://github.com/CliMA/RRTMGP.jl">RRTMGP.jl</a> - A Julia
implementation of Rapid and accurate Radiative Transfer Model for
General Circulation Models.</li>
<li><a href="https://github.com/eradiate/eradiate">Eradiate</a> - A
next-generation radiative transfer model for Earth observation
applications.</li>
<li><a href="https://github.com/slcs-jsc/jurassic">Juelich Rapid
Spectral Simulation Code</a> - The Juelich Rapid Spectral Simulation
Code (JURASSIC) is a fast infrared radiative transfer model for the
analysis of atmospheric remote sensing measurements.</li>
<li><a href="https://github.com/tenstream/tenstream">Tenstream</a> - A
3D radiative transfer solver for earth system models.</li>
<li><a href="https://github.com/iodepo/odis-arch">Ocean Data and
Information System</a> - The Ocean InfoHub facilitates access to global
oceans information, data and knowledge products for management and
sustainable development.</li>
<li><a
href="https://github.com/ReflectiveEarth/reflective-potential">reflective-potential</a>
- An empirical analysis of Earth’s annual-average surface reflectivity
potential.</li>
<li><a href="https://github.com/radis/radis">radis</a> - A fast
line-by-line code for high-resolution infrared molecular spectra.</li>
<li><a href="https://github.com/fnemina/pyOSOAA">pyOSOAA</a> - A python
interface for the Ocean Successive Orders with Atmosphere radiative
transfer.</li>
<li><a href="https://github.com/ecmwf-ifs/ecrad">ECRAD</a> - A radiation
scheme suitable for use in atmospheric weather and climate models.</li>
<li><a href="https://github.com/TUW-GEO/rt1">RT1</a> - A first order
radiative transfer model for soil- and vegetation related parameter
retrievals from radar-data.</li>
</ul>
<h2 id="climate-change">Climate Change</h2>
<h3 id="earth-and-climate-modeling">Earth and Climate Modeling</h3>
<ul>
<li><a href="https://github.com/E3SM-Project/scream">SCREAM</a> - A
global atmosphere model targeted towards 3 km (“cloud resolving”)
resolution.</li>
<li><a href="https://github.com/ESMValGroup/ESMValTool">ESMValTool</a> -
A community diagnostic and performance metrics tool for routine
evaluation of Earth system models in World Climate Research
Programme.</li>
<li><a href="https://github.com/NOAA-GFDL/FMS">The Flexible Modeling
System</a> - A software framework for supporting the efficient
development, construction, execution, and scientific interpretation of
atmospheric, oceanic, and climate system models.</li>
<li><a
href="https://github.com/NOAA-EMC/global-workflow">global-workflow</a> -
Global Superstructure/Workflow currently supporting the Finite-Volume on
a Cubed-Sphere Global Forecast System.</li>
<li><a href="https://github.com/pangeo-data/pangeo">pangeo</a> - A
community platform for Big Data geoscience.</li>
<li><a href="https://github.com/pangeo-data/pangeo-docker-images">Pangeo
Docker Images</a> - The images defined in this repository capture
reproducible computing environments used by Pangeo Cloud.</li>
<li><a href="https://github.com/ESCOMP/CMEPS">CMEPS</a> - The Community
Mediator for Earth Prediction Systems (CMEPS) is a NUOPC-compliant
Mediator component used for coupling Earth system model component.</li>
<li><a href="https://github.com/E3SM-Project/E3SM">E3SM</a> - A
state-of-the-art fully coupled model of the Earth’s climate including
important biogeochemical and cryospheric processes.</li>
<li><a href="https://github.com/E3SM-Project/e3sm_diags">E3SM
Diagnostics Package</a> - Diagnostics package constructed for supporting
the diagnostics task of DOE’s Energy Exascale Earth System Model (E3SM)
project.</li>
<li><a
href="https://github.com/NOAA-GFDL/MDTF-diagnostics">MDTF-diagnostics</a>
- Analysis framework and collection of process-oriented diagnostics for
weather and climate simulations.</li>
<li><a href="https://github.com/ESCOMP/CESM">The Community Earth System
Model</a> - Composed of separate models simultaneously simulating the
Earth’s atmosphere, ocean, land, river run-off, land-ice, and sea-ice,
plus one central coupler/moderator component, it allows researchers to
conduct fundamental research into the Earth’s past, present, and future
climate states.</li>
<li><a href="https://github.com/CliMA/Land">CLIMA-Land</a> - Everything
within the Land model (Soil Plant Atmosphere Module, Land Hydrology,
etc).</li>
<li><a href="https://github.com/ECCC-ASTD-MRD/gem">The Global
Environmental Multiscale Model</a> - An integrated forecasting and data
assimilation system developed by the Atmospheric Numerical Prediction
Research Section, Meteorological Research Division, of Environment and
Climate Change Canada.</li>
<li><a href="https://github.com/ecmwf/atlas">atlas</a> - A library for
numerical weather prediction and climate modeling.</li>
<li><a href="https://github.com/JGCRI/hector">hector</a> - An open
source, object-oriented, simple global climate carbon-cycle model.</li>
<li><a href="https://github.com/openclimatedata/pyhector">pyhector</a> -
A Python interface for the simple global climate carbon-cycle model
Hector.</li>
<li><a href="https://github.com/NorESMhub/NorESM">NorESM</a> - Norwegian
Earth System Model and Documentation.</li>
<li><a href="https://github.com/CliMT/climt">CliMT</a> - A Toolkit for
building Earth system models in Python.</li>
<li><a href="https://github.com/climlab/climlab">climlab</a> - A Python
package for process-oriented climate modeling.</li>
<li><a href="https://github.com/OMS-NetZero/FAIR">FAIR</a> - Finite
Amplitude Impulse-Response simple climate-carbon-cycle model.</li>
<li><a href="https://github.com/UW-Hydro/MetSim">MetSim</a> - A
meteorological simulator and forcing disaggregator for hydrologic
modeling and climate applications.</li>
<li><a href="https://github.com/esmf-org/esmf">ESMF</a> - The Earth
System Modeling Framework is a suite of software tools for developing
high-performance, multi-component Earth science modeling
applications.</li>
<li><a href="https://github.com/uturuncoglu/RegESM">RegESM</a> -
Regional Earth System Model is designed to be a state-of-art coupled
modeling system that allows using variety of different earth system
model components as well as their integration with co-processing
tool.</li>
<li><a href="https://github.com/MPAS-Dev/MPAS-Model">MPAS</a> - The
Model for Prediction Across Scales is a collaborative project for
developing atmosphere, ocean, and other earth-system simulation
components for use in climate, regional climate, and weather
studies.</li>
<li><a href="https://github.com/csdms/pymt">pymt</a> - A Python toolkit
for running and coupling Earth surface models.</li>
<li><a
href="https://github.com/gaelforget/ClimateModels.jl">ClimateModels.jl</a>
- Uniform interface to climate models of varying complexity and
completeness.</li>
<li><a href="https://github.com/openscm/pymagicc">Pymagicc</a> - A
Python wrapper around the reduced complexity climate model.</li>
<li><a href="https://github.com/dalesteam/dales">DALES</a> - Dutch
Atmospheric Large-Eddy Simulation model.</li>
<li><a
href="https://github.com/amazon-science/earth-forecasting-transformer">Earthformer</a>
- A space-time Transformer for Earth system forecasting that applies
Deep Learning for various Earth system forecasting task.</li>
<li><a href="https://github.com/microsoft/climax">ClimaX</a> - The first
foundation model for weather and climate science.</li>
<li><a href="https://github.com/GEOS-ESM/MAPL">MAPL</a> - A foundation
layer of the GEOS architecture, whose original purpose is to supplement
the Earth System Modeling Framework.</li>
<li><a href="https://github.com/MESMER-group/mesmer">MESMER</a> -
Stochastically creates Earth System Model-specific spatio-temporally
correlated climate variable field realizations at a negligible
computational cost.</li>
<li><a href="https://github.com/WCRP-CMIP/CMIP6_CVs">CMIP6_CVs</a> -
Core Controlled Vocabularies for use in CMIP6.</li>
<li><a href="https://github.com/NVIDIA/earth2mip">earth2mip</a> - A
python framework that enables climate researchers and scientists to
explore and experiment with AI models for weather and climate.</li>
<li><a
href="https://github.com/EarthSystemDiagnostics/sedproxy">sedproxy</a> -
An R package for modeling sediment archived climate proxy records.</li>
<li><a href="https://github.com/uDALES/u-dales">uDALES</a> -
Large-eddy-simulation software for urban flow, dispersion and
microclimate modelling.</li>
<li><a href="https://github.com/UMEP-dev/SUEWS">SUEWS</a> - Surface
Urban Energy and Water Balance Scheme.</li>
<li><a
href="https://github.com/ladybug-tools/dragonfly-legacy">Dragonfly for
Grasshopper</a> - Legacy dragonfly plugin for large-scale climate and
urban heat island modeling.</li>
<li><a href="https://github.com/ladybug-tools/uwg">Urban Weather
Generator</a> - A Python application for modeling the urban heat island
effect.</li>
<li><a
href="https://github.com/contrailcirrus/pycontrails">pycontrails</a> -
Python library for modeling aviation climate impacts.</li>
<li><a href="https://github.com/PCMDI/pcmdi_metrics">PCMDI Metrics
Package</a> - Open-source Python package for Systematic Evaluation of
Climate and Earth System Models.</li>
<li><a href="https://github.com/GEOS-ESM/swell">swell</a> - Used to
generate experiments using the JEDI data assimilation system and NASA’s
Goddard Earth Observing System (GEOS) numerical weather forecast
mode.</li>
<li><a href="https://github.com/HPSCTerrSys/TSMP">TSMP</a> - An open
source scale-consistent, highly modular, massively parallel regional
Earth system model.</li>
<li><a href="https://github.com/JGCRI/helios">helios</a> - An R package
to process heating and cooling degrees for the Global Change Analysis
Model (GCAM) from various sources such as WRF and CMIP.</li>
<li><a href="https://github.com/google-research/neuralgcm">NeuralGCM</a>
- A package for building hybrid ML+Physics atmospheric models for
weather and climate simulations.</li>
</ul>
<h3 id="climate-data-standards">Climate Data Standards</h3>
<ul>
<li><a
href="https://github.com/cf-convention/cf-conventions">cf-conventions</a>
- The conventions for CF (Climate and Forecast) metadata are designed to
promote the processing and sharing of files created with the NetCDF
API.</li>
<li><a href="https://github.com/NCAS-CMS/cf-python">cf-python</a> - A
CF-compliant Earth Science data analysis library.</li>
<li><a href="https://github.com/cedadev/cf-checker">CF Checker</a> - The
CF Checker is a utility that checks the contents of a NetCDF file
complies with the Climate and Forecasts (CF) Metadata Convention.</li>
<li><a
href="https://github.com/Unidata/netcdf-fortran">netcdf-fortran</a> -
The Unidata network Common Data Form (netCDF) in Fortran is an interface
for scientific data access and a set of freely-distributed software
libraries that provide an implementation of the interface.</li>
<li><a href="https://github.com/Unidata/netcdf-c">netcdf-c</a> - The
Unidata network Common Data Form (netCDF) in C is an interface for
scientific data access and a set of freely-distributed software
libraries that provide an implementation of the interface.</li>
<li><a
href="https://github.com/Unidata/netcdf4-python">netcdf-python</a> - The
Unidata network Common Data Form (netCDF) in Python is an interface for
scientific data access and a set of freely-distributed software
libraries that provide an implementation of the interface.</li>
<li><a href="https://github.com/PCMDI/cmor">Climate Model Output
Rewriter</a> - Produce CF-compliant netCDF files that fulfill the
requirements of many of the climate community’s standard model
experiments.</li>
<li><a href="https://github.com/h5netcdf/h5netcdf">h5netcdf</a> - A
Python interface for the netCDF4 file format that reads and writes local
or remote HDF5 files directly via h5py or h5pyd, without relying on the
Unidata netCDF library.</li>
<li><a href="https://github.com/pydata/xarray">xarray</a> - An open
source project and Python package that introduces labels in the form of
dimensions, coordinates, and attributes on top of raw NumPy-like arrays,
which allows for more intuitive, more concise, and less error-prone user
experience.</li>
<li><a href="https://github.com/xarray-contrib/cf-xarray">cf-xarray</a>
- An accessor for xarray objects that interprets CF attributes.</li>
</ul>
<h3 id="climate-data-access-and-visualization">Climate Data Access and
Visualization</h3>
<ul>
<li><a href="https://pcmdi.github.io/CMIP6/">CMIP6 Datasets</a> -
Provides an access to the outputs of the current phase 6 of the Coupled
Model Intercomparison Project (CMIP). CMIP6 global climate models give a
base to (almost) all we may know for the climate of the future.</li>
<li><a href="https://climatedataguide.ucar.edu/">climatedataguide</a> -
Search and access 212 datasets covering the Atmosphere, Ocean, Land and
more. Explore climate indices, reanalyses and satellite data and
understand their application to climate model metrics.</li>
<li><a href="https://github.com/ropensci/rnoaa">rnoaa</a> - An R
interface to many National Oceanic and Atmospheric Administration data
sources.</li>
<li><a href="https://github.com/meteostat/meteostat-python">Meteostat
Python</a> - Access and analyze historical weather and climate data with
Python.</li>
<li><a href="https://github.com/SantanderMetGroup/loadeR">loadeR</a> -
An R package for climate data access building on the NetCDF-Java
API.</li>
<li><a href="https://github.com/VeruGHub/easyclimate">easyclimate</a> -
Easy access to high-resolution daily climate data for Europe.</li>
<li><a href="https://github.com/ropensci/GSODR">GSODR</a> - Global
Surface Summary of the Day Weather Data Client for R.</li>
<li><a href="https://github.com/IPCC-WG1/Chapter-9">IPCC AR6 Chapter 9
Figures</a> - Code and data for all figures from Chapter 9 of the IPCC
AR6.</li>
<li><a href="https://github.com/SantanderMetGroup/ATLAS">ATLAS</a> -
Datasets, code and virtual workspace for the Climate Change ATLAS.</li>
<li><a href="https://github.com/pylandtemp/pylandtemp">pylandtemp</a> -
Global land surface temperature and emissivity from NASA’s Landsat
satellite images.</li>
<li><a href="https://github.com/ecmwf/cdsapi">cdsapi</a> - Python API to
access the Copernicus Climate Data Store.</li>
<li><a href="https://github.com/ropensci/prism">PRISM</a> - Download
data from the Oregon PRISM climate data project.</li>
<li><a href="https://github.com/rOpenSpain/climaemet">climaemet</a> - An
interface to download the climatic data of the Spanish Meteorological
Agency directly from R using their API and create scientific
graphs.</li>
<li><a
href="https://cds.climate.copernicus.eu/toolbox/doc/index.html">Climate
Data Store Toolbox</a> - Dive into this wealth of information about the
Earth’s past, present and future climate.</li>
<li><a href="https://github.com/ropensci/chirps">chirps</a> - A
quasi-global high-resolution rainfall data set, which incorporates
satellite imagery and in-situ station data to create gridded rainfall
time series for trend analysis and seasonal drought monitoring.</li>
<li><a href="https://github.com/SERVIR/ClimateSERVpy">ClimateSERVpy</a>
- Enables access to the ClimateSERV API where many types of climate data
can be subset by area of interest, and time range, then either
downloaded as tif, or NetCDf files, or the data can be statistically
processed to render json values or csv.</li>
<li><a href="https://github.com/bluegreen-labs/ecmwfr">ecmwfr</a> -
Provides easy access to the European Centre for Medium-Range Weather
Forecasts web API services and Copernicus Climate Data Store from within
R, matching and expanding upon the ECMWF Python tools.</li>
<li><a href="https://github.com/cortinah/hockeystick">hockeystick</a> -
Make essential Climate Change datasets easily available to non-climate
experts.</li>
<li><a href="https://github.com/ropensci/clifro">CliFlo</a> - Easily
download and visualise climate data from New Zealand’s National Climate
Database.</li>
<li><a href="https://github.com/ropensci/rWBclimate">rWBclimate</a> - An
R interface for the World Bank climate data used in the World Bank
climate knowledge portal.</li>
<li><a href="https://github.com/zmlabe/IceVarFigs">IceVarFigs</a> -
Weather and climate graphics for science communication.</li>
<li><a
href="https://github.com/JuliaClimate/ClimateSatellite.jl">ClimateSatellite.jl</a>
- Julia package that downloads measurements and observational of climate
satellite mission data.</li>
<li><a href="https://github.com/SERVIR/ClimateSERV2">ClimateSERV</a> -
This web application allows development practitioners,
scientists/researchers, and government decision-makers to visualize and
download historical rainfall data, vegetation condition data, and
180-day forecasts of rainfall and temperature to improve understanding
of, and make improved decisions for, issues related to agriculture and
water availability.</li>
<li><a href="https://github.com/gavinsimpson/canadaHCD/">canadaHCD</a> -
Access Canadian Historical Climate Data from R.</li>
<li><a href="https://github.com/pytroll/pygac">pygac</a> - A Python
package to read and calibrate NOAA and Metop AVHRR GAC and LAC
data.</li>
<li><a href="https://github.com/CCI-Tools/cate">Cate</a> - A software
for ingesting, operating on and visualizing all ESA Climate Change
Initiative data.</li>
<li><a href="https://github.com/ecmwf/climetlab">climetlab</a> - A
Python package aiming at simplifying access to climate and
meteorological datasets, allowing users to focus on science instead of
technical issues such as data access and data formats.</li>
<li><a href="https://github.com/boshek/rsoi">rsoi</a> - An R package to
download the most up to date climate indices.</li>
<li><a href="https://github.com/byrd-polar/fluid-earth">Fluid Earth</a>
- Open-source Visualization of Weather and Climate Data.</li>
<li><a href="https://github.com/mikejohnson51/climateR">climateR</a> -
An R package for getting point and gridded climate data by AOI.</li>
<li><a href="https://github.com/mathworks/climatedatastore">Climate Data
Store Toolbox for MATLAB</a> - This toolbox allows you to easily access
data and download hundreds of data sets associated with climate change
for analysis in MATLAB.</li>
<li><a
href="https://github.com/aditya-grover/climate-learn">ClimateLearn</a> -
A Python library for accessing state-of-the-art climate data and machine
learning models in a standardized, straightforward way.</li>
<li><a href="https://github.com/forestgeo/Climate">ForestGEO</a> - This
public repository is a portal for climate data and information for
ForestGEO sites.</li>
<li><a
href="https://github.com/google-research/arco-era5">Analysis-Ready,
Cloud Optimized ERA5</a> - A global history of the climate highly
accessible in the cloud.</li>
<li><a href="https://github.com/coecms/clef">CleF</a> - Searches the
Earth System Grid Federation datasets stored at the Australian National
Computational Infrastructure, both data published on the NCI ESGF node
as well as files that are locally replicated from other ESGF nodes.</li>
<li><a href="https://github.com/intake/intake-esm">Intake-esm</a> - An
intake plugin for parsing an Earth System Model catalog and loading
assets into xarray datasets.</li>
<li><a href="https://github.com/willtebbutt/GHCNData.jl">GHCNData.jl</a>
- Helps access the Global Historical Climatological Network’s daily
data.</li>
<li><a
href="https://github.com/scotthosking/get-station-data">get-station-data</a>
- A set of Python tools to make it easier to extract weather station
data (e.g., temperature, precipitation) from the Global Historical
Climatology Network Daily.</li>
<li><a
href="https://github.com/MeteoSwiss/publication-opendata">OGD@MeteoSwiss</a>
- Open Data products released by the Federal Office of Meteorology and
Climatology MeteoSwiss.</li>
<li><a href="https://github.com/ESGF/esgf-pyclient">ESGF PyClient</a> -
A Python package designed for interacting with the Earth System Grid
Federation system.</li>
<li><a href="https://github.com/ecmwf/ecmwf-opendata">ecmwf-opendata</a>
- A package to simplify the download of ECMWF open data.</li>
<li><a
href="https://github.com/ACCESS-NRI/access-nri-intake-catalog">ACCESS-NRI
Intake Catalog</a> - Aims to provide a way for Python users to discover
and load data across a broad range of climate data products available on
the Australian NCI supercomputer Gadi.</li>
<li><a
href="https://github.com/environmentalinformatics-marburg/tubedb">TubeDB</a>
- Efficient and easy to use database for climate station observations.
Store, check, fill, aggregate, visualize and access your time series
data on-demand.</li>
<li><a
href="https://github.com/ed-hawkins/climate-visuals">climate-visuals</a>
- These graphics show different aspects of how the climate is
changing.</li>
</ul>
<h3 id="climate-data-processing-and-analysis">Climate Data Processing
and Analysis</h3>
<ul>
<li><a href="https://github.com/SciTools/iris">Iris</a> - A powerful,
format-agnostic, community-driven Python package for analyzing and
visualizing Earth science data.</li>
<li><a href="https://github.com/xCDAT/xcdat">xCDAT</a> - An extension of
xarray for climate data analysis on structured grids.</li>
<li><a href="https://github.com/orbisgis/geoclimate">Geoclimate</a> -
Geospatial processing toolbox for environmental and climate
studies.</li>
<li><a href="https://github.com/google/weather-tools">weather-tools</a>
- A series of command-line tools to make common data engineering tasks
easier for researchers in climate and weather.</li>
<li><a href="https://github.com/NCPP/ocgis">OpenClimateGIS</a> - A set
of geoprocessing and calculation tools for CF-compliant climate
datasets.</li>
<li><a
href="https://github.com/openscm/AR6-WG1-Data-Compilation">AR6-WG1-Data-Compilation</a>
- Compiles the data into a uniform, csv-based data format following the
standard established by the Integrated Assessment Modeling Consortium
and used by IPCC WG3.</li>
<li><a href="https://github.com/cerfacs-globc/icclim">icclim</a> -
Python library for climate indices and climate indicators
calculation.</li>
<li><a href="https://github.com/roocs/clisops">clisops</a> - Climate
simulation operations.</li>
<li><a href="https://github.com/Yuanchao-Xu/hyfo">hyfo</a> - Mainly
focuses on data process and visualization in hydrology and climate
forecasting.</li>
<li><a href="https://github.com/spencerahill/aospy">aospy</a> - A Python
package for automated analysis and management of gridded climate
data.</li>
<li><a href="https://github.com/nasa/NASAaccess">NASAaccess</a> - An R
package that can generate gridded ASCII tables of climate (CIMP5) and
weather data (GPM, TRMM, GLDAS) needed to drive various hydrological
models (e.g. SWAT, VIC, RHESSys).</li>
<li><a href="https://github.com/NCAR/ncl">NCL</a> - The NCAR Command
Language is a scripting language for the analysis and visualization of
climate and weather data.</li>
<li><a
href="https://github.com/xarray-contrib/xskillscore">xskillscore</a> -
An open source project and Python package that provides verification
metrics of deterministic (and probabilistic from properscoring)
forecasts with xarray.</li>
<li><a href="https://github.com/ropensci/getCRUCLdata">getCRUCLdata</a>
- Provides functions that automate importing CRU CL v. 2.0 climatology
data into R.</li>
<li><a href="https://github.com/ecmwf/cfgrib">cfgrib</a> - A Python
interface to map GRIB files to the NetCDF Common Data Model following
the CF Convention using ecCodes.</li>
<li><a href="https://github.com/ideas-lab-nus/epwshiftr">epwshiftr</a> -
Create future EnergyPlus Weather files using CMIP6 data.</li>
<li><a href="https://github.com/nco/nco">NCO</a> - Manipulates and
analyzes data stored in netCDF-accessible formats.</li>
<li><a href="https://github.com/nco/pynco">pynco</a> - Contains the
module python nco, which implements a Python style access to the NetCDF
Operators (NCO).</li>
<li><a
href="https://github.com/petermr/semanticClimate">semanticClimate</a> -
Conversion of IPCC documents into semantic form.</li>
<li><a href="https://github.com/Ouranosinc/miranda">Miranda</a> - A
modern Python utility library for climate data collection and
management.</li>
<li><a
href="https://github.com/LinkedEarth/Pyleoclim_util">Paleoclimate</a> -
Analysis of Paleoclimate Data.</li>
<li><a href="https://github.com/GridTools/gt4py">GT4Py</a> - Library for
generating high-performance implementations of stencil kernels for
weather and climate modeling from a domain-specific language.</li>
<li><a href="https://github.com/climopy-dev/climopy">ClimoPy</a> - A
succinct toolset for analyzing climate data.</li>
<li><a
href="https://github.com/ClimateGlobalChange/tempestextremes">tempestextremes</a>
- Extreme weather detection and characterization.</li>
<li><a href="https://github.com/jbusecke/xMIP">xmip</a> - Analysis ready
CMIP6 data in python the easy way with pangeo tools.</li>
<li><a href="https://github.com/bluegreen-labs/daymetr">daymetr</a> -
Allows for easy downloads of Daymet climate data directly to your R
workspace or your computer.</li>
<li><a href="https://github.com/leap-stc/ClimSim/">ClimSim</a> - An open
large-scale dataset for training high-resolution physics emulators in
hybrid multi-scale climate simulators.</li>
<li><a href="https://github.com/dlr-pa/climaccf">CLIMaCCF</a> - Provide
an open-source, easy-to-use, and flexible software tool that efficiently
calculates spatially and temporally resolved climate impact of aviation
emissions by using algorithmic climate change functions.</li>
<li><a
href="https://github.com/ECCC-CCCS/geomet-climate">geomet-climate</a> -
Geospatial web services for Canadian climate data.</li>
<li><a href="https://github.com/IPCC-WG1">IPCC-WG1-Code</a> - Code and
Data of the Physical Science Basis Working Group (WG1) as part of
Intergovernmental Panel on Climate Change (IPCC).</li>
<li><a href="https://github.com/ghislainv/gecevar">gecevar</a> -
Contains functions for downloading climate and environmental data from
open and free online datasets for any region of the world.</li>
<li><a href="https://github.com/DPIRD-FSI/weatherOz">weatherOz</a> -
Aims to facilitate access and download weather and climate data for
Australia from Australian data sources.</li>
<li><a
href="https://github.com/open-data-rescue/climate-data-rescue">Climate
Data Rescue</a> - This application seeks to aid in the digitization of
paper records through the crowd-sourced transcription of scanned image
files, particularly documents ill-suited for Optical Character
Recognition.</li>
<li><a href="https://github.com/bird-house/finch">Finch</a> - A Web
Processing Service for Climate Indicators.</li>
<li><a href="https://github.com/eWaterCycle/era5cli">era5cli</a> -
Command Line Interface to download ERA5 from Copernicus Climate Data
Service.</li>
<li><a href="https://github.com/ZiluM/sacpy">Sacpy</a> - An effecient
Statistical Analysis tool (e.g. regression, EOF, MCA) for Climate and
Meteorology data.</li>
<li><a href="https://github.com/AI4S2S/s2spy">s2spy</a> - A high-level
python package integrating expert knowledge and artificial intelligence
to boost (sub) seasonal forecasting.</li>
<li><a href="https://github.com/Ouranosinc/xscen">xscen</a> - A climate
change scenario-building analysis framework, built with Intake-esm
catalogs and xarray-based packages such as xclim and xESMF.</li>
<li><a href="https://github.com/matthiasdemuzere/w2w">w2w</a> - A
WUDAPT-to-WRF python tool that injects World Urban Database and Access
Portal Tools (WUDAPT)’s Local Climate Zone information into WRF.</li>
<li><a href="https://gitlab.com/then-try-this/climate-tool">Climate
Tool</a> - A tool for connecting together scientific information across
climate, health and policy in the UK.</li>
<li><a href="https://github.com/FREVA-CLINT/freva">freva</a> - A data
search and analysis platform developed by the atmospheric science
community.</li>
<li><a
href="https://github.com/monocongo/climate_indices">Climate_Indices</a>
- Contains Python implementations of various climate index algorithms
which provide a geographical and temporal picture of the severity of
precipitation and temperature anomalies useful for climate monitoring
and research.</li>
<li><a href="https://github.com/kjhall01/xcast">XCast</a> - A free and
open source climate forecasting toolkit written by Kyle Hall &amp;
Nachiketa Acharya, designed to help forecasters and earth scientists
apply state-of-the-art postprocessing techniques to gridded data
sets.</li>
<li><a href="https://github.com/E3SM-Project/gdess">GDESS</a> - Tool for
evaluating atmospheric carbon dioxide concentrations as simulated by
Earth system models.</li>
<li><a
href="https://github.com/JuliaClimate/ClimateBase.jl">ClimateBase.jl</a>
- A Julia package offering basic functionality for analyzing data that
are typically in the form used by climate sciences.</li>
<li><a
href="https://github.com/JuliaClimate/ClimateTools.jl">ClimateTools.jl</a>
- A collection of commonly-used tools in climate science. Basics of
climate field analysis are covered, with some forays into exploratory
techniques associated with climate scenarios design.</li>
<li><a href="https://github.com/xgcm/xgcm">xgcm</a> - A Python package
for analyzing general circulation model output data.</li>
<li><a
href="https://github.com/MPAS-Dev/MPAS-Analysis">MPAS-Analysis</a> -
Analysis for simulations produced with Model for Prediction Across
Scales (MPAS) components and the Energy Exascale Earth System Model
(E3SM), which used those components.</li>
<li><a href="https://github.com/csyhuang/hn2016_falwa">hn2016_falwa</a>
- A Python library for computing Finite-Amplitude Local Wave Activity
from climate data.</li>
<li><a href="https://github.com/pangeo-data/climpred">climpred</a> -
Aims to be the primary package used to analyze output from initialized
dynamical forecast models, ranging from short-term weather forecasts to
long-term climate forecasts.</li>
<li><a href="https://github.com/Ouranosinc/xclim">xclim</a> - A library
of derived climate variables, i.e. climate indicators, based on
xarray.</li>
<li><a href="https://github.com/ARCCSS-extremes/climpact">climpact</a> -
Calculate the ET-SCI climate extremes indices.</li>
<li><a href="https://github.com/JannisHoch/copro">CoPro</a> - A
machine-learning tool for conflict risk projections based on climate,
environmental, and societal drivers.</li>
<li><a
href="https://github.com/btschwertfeger/python-cmethods">python-cmethods</a>
- Serves as a collection of different scale- and distribution-based bias
correction techniques for climatic research.</li>
<li><a href="https://github.com/cal-adapt/climakitae">Climakitae</a> -
Enable a transition from climate vulnerability assessments to decision
support for investor-owned utilities and other stakeholders.</li>
</ul>
<h3 id="climate-downscaling">Climate Downscaling</h3>
<ul>
<li><a href="https://github.com/NCAR/icar">ICAR</a> - A simplified
atmospheric model designed primarily for climate downscaling,
atmospheric sensitivity tests, and hopefully educational uses.</li>
<li><a
href="https://github.com/SantanderMetGroup/downscaleR">downscaleR</a> -
An R package for empirical-statistical downscaling focusing on daily
data and covering the most popular approaches (bias correction, Model
Output Statistics, Perfect Prognosis) and techniques (e.g. quantile
mapping, regression, analogs, neural networks).</li>
<li><a href="https://github.com/ErikKusch/KrigR">KrigR</a> - An R
Package for downloading, preprocessing, and statistical downscaling of
the European ERA5 dataset.</li>
<li><a
href="https://github.com/pangeo-data/scikit-downscale">scikit-downscale</a>
- Statistical downscaling and postprocessing models for climate and
weather model simulations.</li>
<li><a href="https://github.com/ArcticSnow/TopoPyScale">TopoPyScale</a>
- Perform topography-based downscaling of climate data to the hillslope
scale.</li>
<li><a href="https://github.com/pacificclimate/ClimDown">ClimDown</a> -
A Climate Downscaling package for the R statistical programming
language.</li>
<li><a href="https://github.com/metno/esd">esd</a> - Designed for
climate and weather data analysis, empirical-statistical downscaling,
and visualisation.</li>
<li><a
href="https://github.com/carbonplan/cmip6-downscaling">cmip6-downscaling</a>
- Climate downscaling using CMIP6 data.</li>
<li><a
href="https://github.com/SantanderMetGroup/climate4R">climate4R</a> - A
bundle of R packages for transparent climate data access,
post-processing (including data collocation and bias correction /
downscaling) and visualization.</li>
<li><a
href="https://github.com/ClimateImpactLab/downscaleCMIP6">downscaleCMIP6</a>
- Global Downscaled Projections for Climate Impacts Research.</li>
<li><a href="https://github.com/Dan-Boat/PyESD">PyESD</a> - Downscale
any climate variables e.g. precipitation and temperature using
predictors from reanalysis datasets to point scale.</li>
<li><a href="https://github.com/tom-andersson/deepsensor">DeepSensor</a>
- A Python package for tackling diverse environmental prediction tasks
with neural processes.</li>
</ul>
<h3 id="natural-hazard-and-storm">Natural Hazard and Storm</h3>
<ul>
<li><a
href="https://github.com/CLIMADA-project/climada_python">CLIMADA</a> -
Stands for CLIMate ADAptation and is a probabilistic natural catastrophe
impact model, that also calculates averted damage (benefit) thanks to
adaptation measures of any kind (from grey to green infrastructure,
behavioural, etc.).</li>
<li><a href="https://github.com/inasafe/inasafe">InaSAFE</a> - QGIS
plugin for estimating impact from natural disasters.</li>
<li><a href="https://github.com/WFP-VAM/prism-app">PRISM</a> - Assesses
the potential risk and forecasts the impact of climate hazards on the
most vulnerable communities, in order to design risk reduction
activities and target disaster responses.</li>
<li><a href="https://github.com/mikejohnson51/FloodMapping">Flood
Mapping</a> - Flood forecasting via the National Water Model.</li>
<li><a href="https://github.com/WPringle/GLOCOFFS">GLOCOFFS</a> - An
ADCIRC-based global storm tide modeling system providing real-time
forecasts of coastal flooding.</li>
<li><a href="https://github.com/spaceml-org/ml4floods">ML4Floods</a> -
An ecosystem of data, models and code pipelines to tackle flooding with
machine learning.</li>
<li><a
href="https://github.com/global-hydrodynamics/CaMa-Flood_v4">CaMa</a> -
Designed to simulate the hydrodynamics in continental-scale rivers.</li>
<li><a
href="https://github.com/cloudtostreet/MODIS_GlobalFloodDatabase">Global
Flood Database Scripts &amp; Data</a> - Used to produce the Global Flood
Database and assess changes in population exposed to floods.</li>
<li><a href="https://github.com/ec-jrc/lisflood-code">LISFLOOD</a> - A
spatially distributed water resources model, developed by the Joint
Research Centre of the European Commission since 1997.</li>
<li><a href="https://github.com/NRCan/CanFlood">CanFlood</a> - Flood
Risk modelling toolbox for Canada.</li>
<li><a
href="https://github.com/Servir-Mekong/hydra-floods">HYDRAFloods</a> -
An open source Python application for downloading, processing, and
delivering surface water maps derived from remote sensing data.</li>
<li><a href="https://github.com/OasisLMF/OasisLMF">OasisLMF</a> - An
open source catastrophe modelling platform, free to use by anyone.</li>
<li><a href="https://github.com/CriticalAssetManagement/CAMS">CAMS</a> -
Critical Asset Management and Disaster Resilience for Islands, Cities,
and Communities.</li>
<li><a
href="https://github.com/oceanmodeling/StormEvents">StormEvents</a> -
Provides Python interfaces for observational data surrounding named
storm events.</li>
<li><a href="https://github.com/djgagne/hagelslag">Hagelslag</a> - An
object-based severe storm forecasting system that utilizing image
processing and machine learning tools to derive calibrated probabilities
of severe hazards from convection-allowing numerical weather prediction
model output.</li>
<li><a href="https://github.com/hafs-community/HAFS">HAFS</a> -
Hurricane Analysis and Forecast System.</li>
<li><a href="https://github.com/ropensci/rrricanes">rrricanes</a> - An R
library that extracts information from Atlantic and east Pacific
hurricanes and tropical storms.</li>
<li><a href="https://github.com/USEPA/FrEDI">FrEDI</a> - Estimates
economic damages and impacts from climate change and sea level rise
through the 21st century.</li>
<li><a href="https://github.com/radical-collaboration/facts">FACTS</a> -
Repository for the Framework for Accessing Changes To Sea-level.</li>
<li><a href="https://github.com/kleok/FLOODPY">FLOODPY</a> - A free and
open-source python toolbox for mapping of floodwater.</li>
<li><a href="https://github.com/GeoscienceAustralia/tcrm">Tropical
Cyclone Risk Model</a> - A statistical-parametric model for assessing
wind hazard from tropical cyclones.</li>
<li><a href="https://github.com/gem/oq-engine">OpenQuake</a> - Allows
users to compute seismic hazard and seismic risk of earthquakes on a
global scale.</li>
<li><a href="https://github.com/OasisLMF/OasisPiWind">OasisPiWind</a> -
PiWind is a wind storm model for a small area of the UK.</li>
<li><a href="https://github.com/GFDRR/thinkhazard">ThinkHazard!</a> -
Provides a general view of the hazards, for a given location, that
should be considered in project design and implementation to promote
disaster and climate resilience.</li>
<li><a href="https://github.com/tropycal/tropycal">Tropycal</a> - A
Python package intended to simplify the process of retrieving and
analyzing tropical cyclone data, both for past storms and in real
time.</li>
<li><a href="https://github.com/dgilford/tcpyPI">tcpyPI</a> - A set of
scripts and notebooks that compute and validate tropical cyclone (TC)
potential intensity (PI) calculations in Python.</li>
<li><a href="https://github.com/Deltares/SFINCS">SFINCS</a> - Super-fast
modelling of dynamic compound flooding in Coastal Systems.</li>
<li><a href="https://github.com/NOAA-OWP/ras2fim">RAS2FIM</a> - Creation
of flood inundation raster libraries and rating curves from HEC-RAS
models.</li>
<li><a href="https://github.com/CyprienBosserelle/BG_Flood">BG_Flood</a>
- The model is designed to simulate flood/inundation caused by tsunami,
river, rain, tide or storm surge (from wind stress or atm pressure
differential) or any combination of these.</li>
<li><a href="https://github.com/uba/tathu">TATHU</a> - A Python package
for tracking and analyzing the life cycle of thunderstorms.</li>
<li><a href="https://github.com/GFDRR/rdl-standard">Risk Data Library
Standard</a> - Provides a common description of the data used and
produced in risk assessments, including hazard, exposure, vulnerability,
and modelled loss, or impact, data.</li>
<li><a
href="https://github.com/jensdebruijn/Global-Flood-Monitor">Global Flood
Monitor</a> - A global database of historic and real-time flood events
based on social media.</li>
<li><a href="https://github.com/StormSurgeLive/asgs">ASGS</a> - Provides
software infrastructure for automating coastal ocean modelling for real
time hurricane decision support.</li>
<li><a href="https://github.com/umr-amap/StormR">StormR</a> - An R
package allowing to easily extract storm track data for given locations
or areas of interests, to generate wind speed and direction fields, and
to compute summary statistics characterising the behaviour of winds
generated by tropical storms and cyclones.</li>
<li><a href="https://github.com/tsdataclinic/TREC">TREC</a> - Allows
users to efficiently assess the climate risk for transit stations within
the context of the access it provides to vital services and
regions.</li>
<li><a href="https://github.com/LBL-EESA/TECA">TECA</a> - The Toolkit
for Extreme Climate Analysis, contains a collection of climate anlysis
algorithms targetted at extreme event detection and analysis.</li>
<li><a href="https://github.com/NOAA-OWP/inundation-mapping">Inundation
Mapping</a> - Flood inundation mapping and evaluation software
configured to work with U.S. National Water Model.</li>
<li><a
href="https://github.com/MarkusPic/intensity_duration_frequency_analysis">Intensity
duration frequency analysis</a> - Reads the measurement data of the
rainfall and calculates the distribution of the rainfall as a function
of the return period and the duration for duration steps up to 12
hours.</li>
<li><a href="https://github.com/csdms-contrib/fwdet">FwDET</a> -
Calculates floodwater depths using a digital elevation model and a flood
extent polygon.</li>
<li><a href="https://github.com/NRCan/RICorDE">RICorDE</a> - Calculates
floodwater depths using a digital elevation model and a flood extent
polygon.</li>
</ul>
<h3 id="integrated-assessment-and-climate-policy">Integrated Assessment
and Climate Policy</h3>
<ul>
<li><a href="https://github.com/pik-primap/primap2">PRIMAP2</a> - The
next generation climate policy analysis suite.</li>
<li><a href="https://github.com/climatepolicyradar/open-data">Climate
Policy Radar Open Data</a> - The full text of thousands of climate laws
and policies from around the world.</li>
<li><a href="https://github.com/iiasa/message_ix">MESSAGEix</a> - A
versatile, dynamic systems-optimization modeling framework developed by
the IIASA Energy, Climate, and Environment (ECE) Program since the
1980s.</li>
<li><a href="https://github.com/Libbum/DICE.jl">DICE.jl</a> - The
Dynamic Integrated model of Climate and the Economy model family are a
popular and capable type of simple Integrated Assessment Model of
climate change economics pioneered by William Nordhaus.</li>
<li><a href="https://gitlab.pik-potsdam.de/lpjml/LPJmL">LPJmL</a> - A
process-based model that simulates climate and land-use change impacts
on the terrestrial biosphere, the water and carbon cycle and on
agricultural production.</li>
<li><a
href="https://github.com/iiasa/ENGAGE-netzero-analysis">ENGAGE</a> -
Source code for figure generation and analysis of the ENGAGE netzero
scenario analysis.</li>
<li><a href="https://github.com/IAMconsortium/pyam">pyam</a> - A Python
package for data-wrangling, analysis and visualization of
integrated-assessment scenarios and energy systems modeling
results.</li>
<li><a href="https://github.com/JGCRI/gcam-core">GCAM</a> - A
dynamic-recursive model with technology-rich representations of the
economy, energy sector, land use and water linked to a climate model
that can be used to explore climate change mitigation policies including
carbon taxes, carbon trading, regulations and accelerated deployment of
energy technology.</li>
<li><a href="https://github.com/TNO/EXIOMOD-open">EXIOMOD</a> - A
macro-economic model that predicts the effects of public authority
measures, shifts in consumer behaviour and associated enviromnetal
impacts.</li>
<li><a href="https://github.com/pik-piam/remind">remind</a> - A
numerical model that represents the future evolution of the world
economies with a special focus on the development of the energy sector
and the implications for our world climate.</li>
<li><a href="https://github.com/pik-piam/mrremind">mrremind</a> - MadRat
REMIND Input Data Package.</li>
<li><a
href="https://github.com/pik-piam/edgeTransport">edgeTransport</a> -
Prepare EDGE Transport Data for the REMIND model.</li>
<li><a href="https://github.com/openmodels/META-2021">META 2021</a> -
Advanced integrated assessment model (SC-IAM), designed as a model-based
meta-analysis of the effects of tipping points on the social cost of
carbon.</li>
<li><a
href="https://github.com/worlddynamics/WorldDynamics.jl">WorldDynamics.jl</a>
- Aims to provide a modern framework to investigate integrated
assessment models of sustainable development, based on current software
engineering and scientific machine learning techniques.</li>
<li><a
href="https://github.com/iiasa/ipcc_sr15_scenario_analysis">ipcc_sr15_scenario_analysis</a>
- Scenario analysis notebooks for the IPCC Special Report on Global
Warming of 1.5°C.</li>
<li><a href="https://github.com/brazil-data-cube/rwlts">rwlts</a> -
Support governments in making decisions about the impact of human
activities on the environment, planning the use of natural resources,
conserving biodiversity and monitoring climate change.</li>
<li><a
href="https://github.com/mila-iqia/climate-cooperation-competition">AI
for Global Climate Cooperation</a> - Modeling global cooperation in the
RICE-N Integrated Assessment Model.</li>
<li><a href="https://github.com/cpmodel/FTT_StandAlone">Future
Technology Transformation</a> - Integrated assessment model with a
realistic treatment of technology diffusion.</li>
<li><a
href="https://github.com/climateinteractive/SDEverywhere">SDEverywhere</a>
- The framework for system dynamics models created for the global
climate simulator En-ROADS, the climate policy simulator C-ROADS and the
Energy Policy Simulator.</li>
</ul>
<h2 id="natural-resources">Natural Resources</h2>
<h3 id="air-quality">Air Quality</h3>
<ul>
<li><a href="https://www.camx.com/">CAMx</a> - A multi-scale
photochemical modeling system for gas and particulate air
pollution.</li>
<li><a href="https://github.com/USEPA/CMAQ">CMAQ</a> - Code base for the
U.S. EPA’s Community Multiscale Air Quality Model.</li>
<li><a href="https://github.com/USEPA/AMET">AMET</a> - A suite of
software designed to facilitate the analysis and evaluation of
predictions from meteorological and air quality models.</li>
<li><a
href="https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair">MLAir</a>
- Machine Learning on Air data is an environment that simplifies and
accelerates the creation of new machine learning models for the analysis
and forecasting of meteorological and air quality time-series.</li>
<li><a
href="https://github.com/shootismoke/mobile-app">shoot-i-smoke</a> - See
your city’s air pollution measured in daily cigarettes.</li>
<li><a href="https://github.com/jsynowiec/airqmon">airqmon</a> - A macOS
menu bar application that displays live air quality data from the
nearest sensor station.</li>
<li><a href="https://github.com/HabitatMap/AirCasting">AirCasting</a> -
The project aims to build a platform for gathering, visualization and
sharing of environmental data.</li>
<li><a href="https://github.com/davidcarslaw/openair">openair</a> - An R
package developed for the purpose of analyzing air quality data — or
more generally atmospheric composition data.</li>
<li><a
href="https://github.com/davidcarslaw/openairmaps">openairmaps</a> -
Combine the robust analytical methods found in openair with the highly
capable leaflet package.</li>
<li><a
href="https://github.com/rpanfili/airQualityMeter">airQualityMeter</a> -
Detects air particulate matter (PM - pm1, pm2.5, pm10) concentrations
and sends data to an MQTT server.</li>
<li><a href="https://github.com/openaq/openaq-api-v2">OpenAQ API Version
2</a> - A web-accessible API that provides endpoints to query the
real-time and historical air quality measurements on the platform.</li>
<li><a href="https://github.com/openaq/openaq-fetch">OpenAQ Data Ingest
Pipeline</a> - A tool to collect data for OpenAQ platform.</li>
<li><a href="https://github.com/CEMPD/SMOKE">SMOKE</a> - Create
emissions inputs for multiple air quality modeling systems with
unmatched speed and flexibility.</li>
<li><a href="https://github.com/spatialmodel/inmap">inmap</a> - A
multi-scale emissions-to-health impact model for fine particulate matter
(PM2.5) that mechanistically evaluates air quality and health benefits
of perturbations to baseline emissions.</li>
<li><a href="https://github.com/metno/emep-ctm">Open Source EMEP MSC-W
model</a> - Designed to calculate air concentrations and deposition
fields for major acidifying and eutrophying pollutants, photo-oxidants
and particulate matter.</li>
<li><a href="https://github.com/openvironment/Rpollution">Rpollution</a>
- The goal of Rpollution is to assemble R functions to analyze air
pollution data.</li>
<li><a href="https://github.com/twollnik/YETI">YETI</a> - A bottom-up
traffic emission calculation tool developed at the Institute for
Advanced Sustainability Studies in Potsdam and built in Python.</li>
<li><a href="https://github.com/shuowang-ai/PM2.5-GNN">PM2.5-GNN</a> - A
Domain Knowledge Enhanced Graph Neural Network For PM2.5
Forecasting.</li>
<li><a href="https://github.com/ropensci/rdefra">rdefra</a> - Interact
with the UK AIR Pollution Database from DEFRA.</li>
<li><a href="https://github.com/skgrange/rmweather">rmweather</a> - An R
package to conduct meteorological/weather normalisation on air quality
so trends and interventions can be investigated in a robust way.</li>
<li><a href="https://github.com/Safecast/safecastapi">Safecast</a> -
Building out a network of sensors to monitor particulate matter in sizes
PM1.0, PM2.5, PM10.</li>
<li><a href="https://github.com/openoakland/woeip">West Oakland Air
Quality Project</a> - A platform for impacted communities to understand
their local air quality and advocate for environmental justice.</li>
<li><a
href="https://github.com/opendata-stuttgart/sensor.community">Sensor.Community</a>
- Making the world a better place through community driven, open
environmental data.</li>
<li><a href="https://github.com/sensebox/openSenseMap">openSenseMap</a>
- Wikipedia for environmental data in order to awaken and promote
education, environmental and climate protection.</li>
<li><a href="https://github.com/JGCRI/rfasst">rfasst</a> - Estimation of
a consistent range of adverse health and agricultural effects
attributable to air pollution for a GCAM scenario.</li>
<li><a href="https://github.com/skgrange/saqgetr">saqgetr</a> - Import
Air Quality Monitoring Data in a Fast and Easy Way.</li>
<li><a href="https://github.com/Ozon3Org/Ozon3">Ozone3</a> - An
open-source package to easily obtain real-time, historical, or
forecasted air quality data for anywhere in the world.</li>
<li><a href="https://github.com/USEPA/RAQSAPI">RAQSAPI</a> - Retrieve
data from the United States Environmental Protection Agency’s Air
Quality Systems.</li>
<li><a href="https://github.com/ropensci/qualR">qualR</a> - Download of
air pollutants and meteorological information from CETESB QUALAR System
for São Paulo, and MonitorAr Program, for Rio de Janeiro.</li>
<li><a href="https://github.com/airqo-platform/AirQo-api">AirQo</a> -
Develop hardware and software tools to help deliver Clean Air for All
African Cities.</li>
<li><a href="https://github.com/MazamaScience/AirMonitor">AirMonitor</a>
- Utilities for working with hourly air quality monitoring data with a
focus on small particulates PM2.5.</li>
</ul>
<h3 id="water-supply">Water Supply</h3>
<ul>
<li><a
href="https://github.com/USEPA/Stormwater-Management-Model">Stormwater-Management-Model</a>
- Used for single event or long-term (continuous) simulation of runoff
quantity and quality from primarily urban areas.</li>
<li><a
href="https://github.com/DOI-USGS/dataRetrieval">dataRetrieval</a> -
This R package is designed to obtain USGS or EPA water quality sample
data, streamflow data and metadata directly from web services.</li>
<li><a href="https://github.com/DOI-USGS/EGRET">EGRET</a> - An R package
for the analysis of long-term changes in water quality and streamflow,
including the water-quality method Weighted Regressions on Time,
Discharge, and Season.</li>
<li><a
href="https://github.com/lanl-ansi/WaterModels.jl">WaterModels.jl</a> -
Designed to enable computational evaluation of historical and emerging
water network formulations and algorithms using a common platform.</li>
<li><a href="https://github.com/NOAA-OWP/t-route">Tree-based Inland
Hydraulic Routing Project</a> - The program under development here seeks
to effectively manage the traversal of a network of streams with defined
hydraulic properties specifically for the purpose of hydraulic routing
in an operational flood and water resources forecasting system.</li>
<li><a href="https://github.com/NOAA-OWP/ngen">Next Gen Water Modeling
Framework</a> - This framework includes an encapsulation strategy which
focuses on the hydrologic data first, and then builds a functional
abstraction of hydrologic behavior.</li>
<li><a href="https://github.com/DOI-USGS/nhdplusTools">nhdplusTools</a>
- This package is a growing set of tools for manipulation of
hydrographic data using the NHDPlus data model.</li>
<li><a href="https://github.com/codeforboston/safe-water">The Safe Water
Project</a> - A team of volunteers at Code for Boston who are using data
modeling, data visualization and machine learning to predict, visualize,
and share data about the presence of hazardous drinking and surface
water contaminants in the United States.</li>
<li><a
href="https://github.com/mroberge/hydrofunctions">HydroFunctions</a> - A
suite of convenience functions for working with hydrology data in an
interactive Python session.</li>
<li><a href="https://github.com/AquaticEcoDynamics/GLM">The General Lake
Model</a> - A water balance and one-dimensional vertical stratification
hydrodynamic model.</li>
<li><a href="https://github.com/jsta/nhdR">nhdR</a> - An R interface to
the US National Hydrography Dataset.</li>
<li><a href="https://github.com/MODFLOW-USGS/modflow6">modflow6</a> -
Has been widely used by academics, private consultants, and government
scientists to accurately, reliably, and efficiently simulate groundwater
flow.</li>
<li><a href="https://oss.deltares.nl/web/imod/home">iMOD</a> - An easy
to use Graphical User Interface + an accelerated Deltares-version of
MODFLOW with fast, flexible and consistent sub-domain modeling
techniques.</li>
<li><a href="https://github.com/mdbartos/pysheds">pysheds</a> - Simple
and fast watershed delineation in Python.</li>
<li><a
href="https://github.com/jblindsay/whitebox-tools">WhiteboxTools</a> -
WhiteboxTools is an advanced geospatial data analysis platform.</li>
<li><a href="https://github.com/USEPA/WNTR">Water Network Tool for
Resilience</a> - A Python package designed to simulate and analyze
resilience of water distribution networks.</li>
<li><a href="https://github.com/bcgov/fasstr">fasstr</a> - An R package
to analyze, summarize, and visualize daily streamflow data.</li>
<li><a href="https://github.com/KnowFlow/KnowFlow_AWM">KnowFlow</a> -
KnowFlow Automatic Water Monitoring device is an open source tool
enabling everyone to have access to first hand water quality data with
low cost.</li>
<li><a href="https://github.com/bcgov/gwells">gwells</a> - Groundwater
Wells and Aquifers application for the Ministry of Environment in
British Columbia.</li>
<li><a
href="https://github.com/RAJohansen/waterquality">waterquality</a> - A
package designed to detect and quantify water quality and cyanobacterial
harmful algal bloom (CHABs) from remotely sensed imagery.</li>
<li><a href="https://github.com/qgep/QGEP">QGEP</a> - A waste-water
application based on QGIS in compliance with SIA-405.</li>
<li><a
href="https://github.com/toogad/PooPyLab_Project">PooPyLab_Project</a> -
A biological wastewater treatment software.</li>
<li><a href="https://github.com/AguaClara/aguaclara">aguaclara</a> - A
Python package for designing and performing research on AguaClara water
treatment plants.</li>
<li><a href="https://gitlab.com/deltares/rtc-tools">RTC-Tools</a> - A
toolbox for control and optimization of water systems.</li>
<li><a href="https://github.com/OpenWaterAnalytics/EPANET">EPANET</a> -
The Water Distribution System Hydraulic and Water Quality Analysis
Toolkit.</li>
<li><a
href="https://github.com/OpenWaterAnalytics/epanet-rtx">EPANET-RTX
Library</a> - The real-time extension to the EPANET Hydraulic
Toolkit.</li>
<li><a href="https://github.com/OpenWaterAnalytics/EPyT">EPyT</a> - A
Common programming framework for research and development in the growing
field of smart water networks.</li>
<li><a href="https://github.com/pyswmm/pyswmm">pyswmm</a> - Python
Wrapper for Stormwater Management Model.</li>
<li><a href="https://github.com/CIMM-ORG/SWMM5plus">SWMM5plus</a> -
Prototype Fortran 2008 engine for the EPA Storm Water Management
Model.</li>
<li><a href="https://github.com/kLabUM/pystorms">pystorms</a> -
Simulation Sandbox for the Design and Evaluation of Stormwater Control
Algorithms.</li>
<li><a href="https://github.com/geodynamics/selen">SELEN</a> - An open
source Fortran code for the numerical solution of the Sea Level Equation
for a spherical, layered, rotating earth with viscoelastic
rheology.</li>
<li><a href="https://github.com/isikdogan/rivamap">rivamap</a> - An
Automated River Analysis and Mapping Engine.</li>
<li><a href="https://github.com/USDA-ARS-NWRC/awsm">AWSM</a> - Automated
Water Supply Model was developed at the USDA Agricultural Research
Service.</li>
<li><a href="https://github.com/AquaticEcoDynamics/libaed2">AED2</a> - A
community-driven library of modules and algorithms for simulation of
“aquatic ecodynamics”: water quality, aquatic biogeochemsitry, biotic
habitat and aquatic ecosystem dynamics.</li>
<li><a href="https://gitlab.dune-project.org/dorie/dorie">DORiE</a> - A
Discontinuous Galerkin Solver for Soil Water Flow and Passive Solute
Transport Based on DUNE.</li>
<li><a href="https://github.com/bcgov/wqbc">wqbc</a> - An R package for
water quality thresholds and index calculation for British
Columbia.</li>
<li><a href="https://github.com/WikiWatershed/model-my-watershed">Model
My Watershed</a> - A watershed-modeling web app for citizens,
conservation practitioners, municipal decision-makers, educators, and
students.</li>
<li><a href="https://github.com/GlobalHydrologyLab/AquaSat">AquaSat</a>
- A data set to enable remote sensing of water quality for inland
waters.</li>
<li><a href="https://github.com/ropensci/cde">CDE</a> - Facilitates
searching and download of the Water Framework Directive reporting data
for all waterbodies from the EA website.</li>
<li><a href="https://github.com/pygsflow/pygsflow">pyGSFLOW</a> - A set
of Python modules to run the GSFLOW integrated hydrologic model
program.</li>
<li><a href="https://github.com/bcgov/bcgroundwater">bcgroundwater</a> -
An R package to facilitate analysis and visualization of groundwater
data from the British Columbia groundwater observation well
network.</li>
<li><a href="https://github.com/UMN-Hydro/GSFLOW-GRASS">GSFLOW-GRASS</a>
- Generates inputs for and runs the coupled groundwater-surface water
model “GSFLOW”.</li>
<li><a href="https://github.com/jnsebgosselin/gwhat">GWHAT</a> - A free,
open source, and cross-platform interactive computer program whose main
focus is the interpretation of observation well hydrographs.</li>
<li><a
href="https://github.com/smwesten-usgs/swb">Soil-Water-Balance</a> - A
Modified Thornthwaite-Mather Soil-Water-Balance Code for Estimating
Groundwater Recharge.</li>
<li><a
href="https://github.com/bcgov/groundwater-levels-indicator">Long-term
Trends in Groundwater Levels in B.C.</a> - R scripts for an indicator on
long-term trends in groundwater levels in British Columbia published on
Environmental Reporting British Columbia.</li>
<li><a
href="https://www.usgs.gov/software/gsflow-coupled-groundwater-and-surface-water-flow-model">GSFLOW</a>
- A coupled Groundwater and Surface-water FLOW model based on the
integration of the USGS Precipitation-Runoff Modeling System and the
USGS Modular Groundwater Flow Model.</li>
<li><a href="https://github.com/bcgov/canwqdata">canwqdata</a> - An R
package to download open water quality data from Environment and Climate
Change Canada’s National Long-term Water Quality Monitoring Data.</li>
<li><a href="https://github.com/DOI-USGS/HASP">HASP</a> - Hydrologic
AnalySis Package.</li>
<li><a
href="https://github.com/CSHS-CWRA/CSHShydRology">CSHShydRology</a> -
This is a collection of R functions used by the Canadian Association
Society for Hydrological Sciences.</li>
<li><a href="https://github.com/Call-for-Code/Liquid-Prep">Liquid
Prep</a> - Offers an end-to-end solution for farmers looking to optimize
their water usage; especially during times of drought.</li>
<li><a href="https://github.com/modflowpy/flopy">flopy</a> - A Python
package to create, run, and post-process MODFLOW-based models.</li>
<li><a href="https://github.com/pcraster/pcraster">PCRaster</a> - A
collection of tools and software libraries tailored to the construction
of spatio-temporal environmental models.</li>
<li><a
href="https://github.com/DOI-USGS/dataretrieval-python">dataretrieval</a>
- A Python alternative to USGS-R’s dataRetrieval package for obtaining
USGS or EPA water quality data, streamflow data, and metadata directly
from web services.</li>
<li><a href="https://github.com/iiasa/CWatM">CWatM</a> - Assess water
supply, water demand and environmental needs at global and regional
level.</li>
<li><a href="https://gitlab.com/hotmaps/potential/WWTP">WWTP</a> - EU28
Waste Water Treatment Plants.</li>
<li><a
href="https://github.com/AWH-GlobalPotential-X/AWH-Geo">AWH-Geo</a> -
Tool and calculations for Global Potential of Harvesting Drinking Water
from Air using Solar Energy.</li>
<li><a href="https://github.com/pySTEPS/pysteps">pySTEPS</a> - An
open-source and community-driven Python library for probabilistic
precipitation nowcasting, i.e. short-term ensemble prediction
systems.</li>
<li><a
href="https://github.com/brunomioto/reservatoriosBR">reservatoriosBR</a>
- R package for Brazilian reservoirs data.</li>
<li><a href="https://github.com/usbr/PyForecast">PyForecast</a> - A
statistical modeling tool used by Reclamation water managers and
reservoir operators to train and build predictive models for seasonal
inflows and streamflows.</li>
<li><a href="https://bitbucket.org/cioapps/wapor-et-look/">pyWaPOR</a> -
Data manual and Algorithm to compute the evapotranspiration of large
areas using remote sensing data.</li>
<li><a href="https://www.hydrosheds.org/">HydroSHEDS</a> - Seamless
hydrographic data for global and regional applications.</li>
<li><a href="https://github.com/Open-ET/openet-ssebop">OpenET</a> -
Provides Google Earth Engine Python API based implementation of the
SSEBop ET model used within OpenET.</li>
<li><a href="https://github.com/sbegueria/SPEI">SPEI</a> - Computing the
Standardized Precipitation-Evapotranspiration Index and other reference
evapotranspiration.</li>
<li><a href="https://github.com/mdbartos/pipedream">pipedream</a> -
Interactive hydrodynamic solver for sewer/stormwater networks.</li>
<li><a href="https://github.com/USEPA/TADA">TADA</a> - Help developers
compile and evaluate water quality data for samples collected from
surface water monitoring sites on streams and lakes.</li>
<li><a href="https://github.com/tbep-tech/wqtrends">wqtrends</a> - R
package to assess water quality trends with generalized additive
models.</li>
<li><a href="https://github.com/pyet-org/pyet">pyet</a> - Estimate
reference and potential evaporation.</li>
<li><a href="https://github.com/martinvonk/SPEI">SPEI</a> - Calculate
and visualize some popular drought indices such as the SPI, SPEI and
SGI.</li>
<li><a
href="https://github.com/Giswater/giswater_qgis_plugin">GISWATER</a> -
This software connects different IT solutions and pre-existent databases
allowing you to setup a high performance water management system in
combination with hydraulic software.</li>
<li><a href="https://github.com/Deltares/Ribasim">Ribasim</a> - A water
resources model, designed to be the replacement of the regional surface
water modules Mozart and SIMRES in the Netherlands Hydrological
Instrument.</li>
<li><a href="https://github.com/pywr/pywr">Pywr</a> - Simulates
customisable water allocation and operation rules throughout complex
multi-purpose managed water systems at each user-defined time-step.</li>
<li><a href="https://github.com/IMMM-SFA/mosartwmpy">mosartwmpy</a> - A
python translation of MOSART-WM, a model for water routing and reservoir
management written in Fortran.</li>
<li><a
href="https://github.com/EcohydrologyTeam/ClearWater-modules">ClearWater
Modules</a> - A collection of water quality and vegetation process
simulation modules designed to couple with water transport models.</li>
<li><a href="https://github.com/UW-SASWE/RAT">RAT</a> - Uses satellite
remote sensing data to monitor water surface area and water level
changes in artificial reservoirs.</li>
<li><a href="https://github.com/MeteoSwiss/ldcast">LDCast</a> - A
precipitation nowcasting model based on a latent diffusion model.</li>
<li><a href="https://github.com/watertap-org/watertap">WaterTAP</a> -
Create an open-source water treatment model library that is compatible
with the IDAES Platform.</li>
<li><a href="https://github.com/cryotools/matilda">MATILDA</a> - Tool
for modeling water resources in glacierized catchments.</li>
</ul>
<h3 id="soil-and-land">Soil and Land</h3>
<ul>
<li><a
href="https://github.com/ISRICWorldSoil/SoilGrids250m">SoilGrids250m</a>
- Global Spatial predictions of soil properties and classes at 250 m
resolution.</li>
<li><a
href="https://git.wur.nl/isric/soilgrids/soilgrids.notebooks/">SoilGrids</a>
- A system for automated soil mapping based on global soil profile and
environmental covariate data at 250 m spatial resolution.</li>
<li><a
href="https://github.com/felixriese/hyperspectral-soilmoisture-dataset">Hyperspectral
Soilmoisture Dataset</a> - Hyperspectral benchmark dataset on soil
moisture.</li>
<li><a href="https://github.com/ncss-tech/soilReports">soilReports</a> -
An R package that assists with the setup and operation of a collection
of soil data summary, comparison, and evaluation reports.</li>
<li><a href="https://github.com/ncss-tech/aqp">AQP</a> - Algorithms for
Quantitative Pedology is a collection of code, ideas, documentation, and
examples wrapped-up into several R packages.</li>
<li><a href="https://github.com/ncss-tech/sharpshootR">sharpshootR</a> -
Miscellaneous soil data management, summary, visualization, and
conversion utilities to support soil survey.</li>
<li><a href="https://github.com/ncss-tech/soilDB">soilDB</a> -
Simplified Access to NCSS Soil Databases.</li>
<li><a
href="https://github.com/mhscience/landslides_detection">Landslides
Detection</a> - Machine learning tool to detect landslides from optical
satellite imagery.</li>
<li><a href="https://github.com/hectornieto/pyTSEB">pyTSEB</a> -
Contains Python code for Two Source Energy Balance models
(Priestley-Taylor TSEB-PT, Dual Time Difference DTD and TSEB with
component soil and canopy temperatures TSEB-2T) for estimating sensible
and latent heat flux based on measurements of radiometric surface
temperature.</li>
<li><a href="https://github.com/obrl-soil/slga">slga</a> - Offers the
ability to download geographic subsets of raster data from the Soil and
Landscape Grid of Australia.</li>
<li><a href="https://github.com/ropensci/smapr">smapr</a> - An R package
for acquisition and processing of NASA (Soil Moisture Active-Passive)
SMAP data.</li>
<li><a href="https://github.com/NASA-DEVELOP/DRIP-SLIP">DRIP-SLIP</a> -
Detecting Realtime Increased Precipitation / Sudden Landslide
Identification Product.</li>
<li><a href="https://github.com/TUW-GEO/esa_cci_sm">esa_cci_sm</a> -
Readers and converters for ESA CCI Soil Moisture image and time series
data.</li>
<li><a
href="https://github.com/aramcharan/US_SoilGrids100m">US_SoilGrids100m</a>
- Complete-coverage gridded predictions of soil properties (percent
organic carbon, total nitrogen, bulk density, pH, and percent sand and
clay) and classes (taxonomic great group and particle size in the
control section) for the Conterminous U.S.</li>
<li><a href="https://github.com/TUW-GEO/pytesmo">pytesmo</a> - Python
Toolbox for the Evaluation of Soil Moisture Observations.</li>
<li><a href="https://github.com/imartinezl/drought-map">Drought Indices
Map</a> - This project attempts to find an accessible and friendly way
to visualize data of drought indices in Spain from 1961 until 2017.</li>
<li><a
href="https://github.com/ECMWFCode4Earth/ml_drought">ml_drought</a> - A
Machine Learning Pipeline to Predict Vegetation Health.</li>
<li><a href="https://github.com/bpbond/srdb">srdb</a> - Global soil
respiration database.</li>
<li><a href="https://github.com/bpbond/cosore">cosore</a> - Data,
metadata, and software tools for the COSORE database of continuous soil
respiration measurements.</li>
<li><a href="https://github.com/SoilBGC-Datashare/sidb">sidb</a> -
Contains information on laboratory soil incubation experiments, with
emphasis on time series of CO2 release.</li>
<li><a
href="https://github.com/International-Soil-Radiocarbon-Database/ISRaD">ISRaD</a>
- Improve the use of radiocarbon as a constraint for understanding the
soil carbon cycle.</li>
<li><a href="https://github.com/OpenFLUID/openfluid">OpenFLUID</a> - A
software environment for modeling and simulation of complex landscape
systems.</li>
<li><a
href="https://github.com/ConservationInternational/trends.earth">Trends.Earth</a>
- A QGIS plugin that supports monitoring of land change, including
changes in productivity, land cover, and soil organic carbon.</li>
<li><a href="https://github.com/capstone-coal/pycoal">pycoal</a> - A
Python toolkit for characterizing Coal and Open-pit surface mining
impacts on American Lands.</li>
<li><a
href="https://ncss-tech.github.io/stats_for_soil_survey/">stats_for_soil_survey</a>
- Lecture material on “Statistics for Pedologists”.</li>
<li><a href="https://github.com/tjc181/simsphere">Simsphere</a> - A
one-dimensional model that allows one to simulate the transfer of heat
and moisture between plants, soil and atmosphere over a 24 hour
day.</li>
<li><a href="https://github.com/CryoGrid/CryoGrid3">CryoGrid3</a> - A
one-dimensional land surface model dedicated to simulate ground
temperatures in permafrost environments.</li>
<li><a
href="https://github.com/felixriese/CNN-SoilTextureClassification">CNN-SoilTextureClassification</a>
- One-dimensional convolutional neural networks (CNN) for the
classification of soil texture based on hyperspectral data.</li>
<li><a href="https://github.com/holoviz-topics/EarthML">EarthML</a> -
Improving, documenting, and illustrating how to use other, freely
available, general-purpose open source projects to solve problems in the
earth sciences.</li>
<li><a href="http://step.esa.int/main/">STEP</a> - ESA is developing
free open source toolboxes for the scientific exploitation of Earth
Observation missions under the Scientific Exploitation of Operational
Missions programme element.</li>
<li><a href="https://github.com/geocryology/globsim">globsim</a> - Using
global reanalyses for permafrost simulation.</li>
<li><a href="https://github.com/DrylandEcology/rSFSW2">rSFSW2</a> - An R
package to create soil water balance simulation experiment.</li>
<li><a
href="https://github.com/r-spatialecology/landscapemetrics">landscapemetrics</a>
- Landscape Metrics for Categorical Map Patterns in R.</li>
<li><a href="https://github.com/Christiaanvandertol/SCOPE">SCOPE</a> -
Simulation model for radiative transfer, photosynthesis and energy
fluxes in vegetation and soil.</li>
<li><a href="https://github.com/JGCRI/demeter">Demeter</a> - A land use
land cover disaggregation and change detection model.</li>
<li><a href="https://gitlab.com/openlandmap">OpenLandMap</a> - Data,
services and web-apps providing access and interactive visualizations of
the TB of high resolution data produced by the OpenGeoHub Foundation and
contributing organizations.</li>
<li><a href="https://github.com/martibosch/pylandstats">PyLandStats</a>
- An open-source Pythonic library to compute landscape metrics.</li>
<li><a href="https://github.com/ropensci/NLMR">NLMR</a> - R package to
simulate neutral landscape models.</li>
<li><a href="https://github.com/eMapR/LT-GEE">LT-GEE</a> - Google Earth
Engine implementation of the LandTrendr spectral-temporal segmentation
algorithm.</li>
<li><a href="https://github.com/moja-global/FLINT">Full Lands
INtegration Tool</a> - A modular system to estimate greenhouse gas
emissions and removals by the land sector.</li>
<li><a href="https://github.com/TUW-GEO/ismn">ismn</a> - Readers for the
data from the International Soil Moisture Database.</li>
<li><a
href="https://github.com/Vizzuality/soils-revealed">soils-revealed</a> -
Platform for direct visualization, analysis and reporting of soil
organic carbon predictions and changes over time.</li>
<li><a href="https://github.com/SoilWatch/soil-erosion-watch">Soil
Erosion Watch</a> - A Google Earth Engine App to explore the state of
the world’s degraded soils.</li>
<li><a href="https://github.com/sinnwerkstatt/landmatrix">Land
Matrix</a> - Independent global land monitoring initiative that promotes
transparency &amp; accountability in decisions over large-scale land
acquisitions.</li>
<li><a href="https://github.com/e-sensing/sits">SITS</a> - Enables users
to apply machine learning techniques for classifying image time series
obtained from earth observation data cubes.</li>
<li><a href="https://www.isda-africa.com/isdasoil/">iSDAsoil</a> - Open
access soil property map with 30m resolution for Africa.</li>
<li><a href="https://github.com/landlab/landlab">Landlab</a> - An open
source Python package for numerical modeling of Earth surface
dynamics.</li>
<li><a href="https://github.com/techmatters/terraso-backend">Terraso</a>
- Develop an open source technology platform to help local community
leaders practice Integrated Landscape Management.</li>
<li><a href="https://soilspectroscopy.github.io/ossl-manual/">Open Soil
Spectral Library</a> - Brings together soil scientists, spectroscopists,
informaticians, data scientists and software engineers to overcome some
of the current bottlenecks preventing wider and more efficient use of
soil spectroscopy.</li>
<li><a href="https://github.com/reginalexavier/OpenLand">OpenLand</a> -
Tool for Quantitative Analysis and Visualization of Land Use and Land
Cover Change.</li>
<li><a href="https://github.com/jgrss/cultionet">cultionet</a> - A
library for semantic segmentation of cultivated land using a neural
network.</li>
<li><a href="https://github.com/cemsbv/pygef">pygef</a> - Simple parser
for soil properties measurements.</li>
<li><a href="https://github.com/DOV-Vlaanderen/pydov">pydov</a> -
Aggregates data about soil, subsoil and groundwater of Flanders and
makes them publicly available.</li>
<li><a href="https://github.com/rubisco-sfa/ILAMB">ILAMB</a> - Python
software used in the International Land Model Benchmarking project.</li>
<li><a href="https://github.com/awst-austria/qa4sm">QA4SM</a> - Provides
an operational online validation service for soil moisture
products.</li>
<li><a href="https://github.com/zsteinmetz/envalysis">envalysis</a> - An
R package containing miscellaneous functions for data analysis in
environmental chemistry and ecotoxicolog.</li>
<li><a
href="https://github.com/ncss-tech/stats_for_soil_survey">Statistics for
Soil Survey</a> - Develop solutions to investigate soil survey
correlation problems and update activities.</li>
<li><a
href="https://github.com/pschmidtwalter/LWFBrook90R">LWFBrook90R</a> -
Simulates daily transpiration, interception, soil and snow evaporation,
streamflow and soil water fluxes through a soil profile covered with
vegetation.</li>
<li><a href="https://github.com/tkrisztin/downscalr">downscalr</a> - An
R package for downscaling of land-use and land-use change
projections.</li>
<li><a href="https://github.com/mammask/droughtR">droughtR</a> - An R
package for non-stationary meteorological drought monitoring.</li>
<li><a href="https://github.com/emf-creaf/meteoland">meteoland</a> -
Functions to estimate weather variables at any position of a
landscape.</li>
<li><a href="https://github.com/ternaustralia/ausplotsR">ausplotsR</a> -
Directly access plot-based data on vegetation and soils across
Australia, with simple function calls to extract the data and merge them
into species occurrence matrices for analysis or to calculate things
like basal area and fractional cover.</li>
<li><a href="https://github.com/chjch/pylusat">PyLUSAT</a> - Intends to
provide users with tools that can be used to conduct land-use
suitability analysis.</li>
<li><a
href="https://github.com/earth-chris/earthlib-legacy">earthlib</a> -
Contains several thousand unique spectral endmembers representing green
vegetation, soil, non-photosynthetic vegetation, urban materials, and
burned materials.</li>
<li><a href="https://github.com/NOAA-OWP/SoilFreezeThaw">Soil
Freeze-thaw Model</a> - The soil freeze-thaw model simulates the
transport of heat in soil using a one-dimensional vertical column.</li>
</ul>
<h2 id="sustainable-development">Sustainable Development</h2>
<h3 id="sustainable-development-goals">Sustainable Development
Goals</h3>
<ul>
<li><a href="https://github.com/open-sdg/open-sdg">open-sdg</a> - A
platform for collecting and disseminating data for the Sustainable
Development Goal global indicators.</li>
<li><a
href="https://github.com/sustainlab-group/sustainbench">SustainBench</a>
- Benchmarks for Monitoring the Sustainable Development Goals with
Machine Learning.</li>
<li><a href="https://github.com/osdg-ai/osdg-tool">OSDG</a> - Tool that
assigns Sustainable Development Goals labels to your input.</li>
<li><a href="https://github.com/GSA/sdg-indicators-usa">US Sustainable
Development Goal indicators</a> - U.S. National Reporting Platform for
the Sustainable Development Goals.</li>
<li><a href="https://sdgtransformationcenter.org/">The SDG
Transformation Center</a> - Science-based tools and analytics for SDG
pathways, policies and financing.</li>
<li><a href="https://github.com/CMUSustainability/SDGmapR">SDGmapR</a> -
R functions and datasets related to the mapping of text to the United
Nations 17 Sustainable Development Goals.</li>
<li><a href="https://eu-dashboards.sdgindex.org/">Europe Sustainable
Development Reports</a> - Track the progress of the European Union and
European Countries towards the Sustainable Development Goals.</li>
<li><a href="https://github.com/dwulff/text2sdg">text2sdg</a> -
Multi-system analysis package that identifies SDGs in text, opening up
the opportunity to monitor any type of text-based data.</li>
<li><a href="https://github.com/Yingjie4Science/SDGdetector">SDG
Detector</a> - Identify and visualize 17 Sustainable Development Goals
and associated 169 Targets in text.</li>
</ul>
<h3 id="sustainable-investment">Sustainable Investment</h3>
<ul>
<li><a href="https://github.com/natcap/invest">Integrated Valuation of
Ecosystem Services and Tradeoffs</a> - A family of tools for quantifying
the values of natural capital in clear, credible, and practical
ways.</li>
<li><a href="https://github.com/remindmodel/remind">The REgional Model
of INvestments and Development</a> - A modular open source
multi-regional model incorporating the economy, the climate system and a
detailed representation of the energy sector.</li>
<li><a href="https://github.com/RaphaelPB/WHAT-IF">WHAT-IF</a> - Water,
Hydropower, Agriculture Tool for Investment and Financing decision
support tool.</li>
<li><a href="https://github.com/RMI-PACTA/r2dii.match">r2dii.match</a> -
These tools implement in R a fundamental part of the software PACTA
(Paris Agreement Capital Transition Assessment), which is a free tool
that calculates the alignment between financial portfolios and climate
scenarios.</li>
<li><a
href="https://github.com/RMI-PACTA/r2dii.analysis">r2dii.analysis</a> -
These tools help you to assess if a financial portfolio aligns with
climate goals.</li>
<li><a
href="https://github.com/ScienceBasedTargets/SBTi-finance-tool">SBTi
Temperature Alignment tool</a> - Helps companies and financial
institutions to assess the temperature alignment of current targets,
commitments, and investment and lending portfolios, and to use this
information to develop targets for official validation.</li>
<li><a
href="https://github.com/realimpat/Real-Impact-Tracker-Methodology/">Real-Impact-Tracker-Methodology</a>
- A methodology to assess the Real Impact of funds on social and
environmental issues.</li>
<li><a href="https://github.com/fund-model/MimiFUND.jl">MimiFUND.jl</a>
- Used to perform cost-benefit and cost-effectiveness analyses of
greenhouse gas emission reduction policies.</li>
<li><a
href="https://github.com/opentaps/open-climate-investing">open-climate-investing</a>
- Application and data for analyzing and structuring portfolios for
climate investing.</li>
<li><a href="https://github.com/NREL/ssc">SSC</a> - Contains the source
code for the technology and financial models contained within the
National Renewable Energy Laboratory’s System Advisor Model.</li>
<li><a href="https://github.com/os-climate/os_c_data_commons">OS-Climate
Data Commons</a> - Collect, normalize and integrate climate and ESG data
from public and private sources.</li>
<li><a href="https://gitlab.com/xdc-model/xdc">XDC Model</a> - Enable
users, or any intereted subject, to understand and familiarize with the
basic concepts of the X-Degree Compatibility methodology.</li>
<li><a href="https://github.com/Yuanchao-Xu/gfer">gfer</a> - Designed
for green finance and environmental risk research focused on data
collecting and analyzing in green finance and environmental risk
research and analysis.</li>
<li><a href="https://github.com/wikirate/wikirate">WikiRate</a> -
Facilitates research and analysis on complex topics in collaboration
with partners, to make ESG data open, comparable and useful for
all.</li>
<li><a href="https://github.com/open-risk/equinox">Equinox</a> -
Supports the holistic risk management of sustainable finance
projects.</li>
<li><a href="https://github.com/RMI-PACTA/pactaverse">PACTA</a> -
Measuring the alignment of financial portfolios with climate
scenarios.</li>
<li><a href="https://github.com/d-fine/Dataland">Dataland</a> - A
decentralized ecosystem for raw ESG-data where market participants
exchange ESG-data in a transparent way.</li>
<li><a href="https://github.com/os-climate/physrisk">physrisk</a> -
Primarily designed to run ‘bottom-up’ calculations that model the impact
of climate hazards on large numbers of individual assets including
natural and operations.</li>
<li><a
href="https://github.com/ONEcampaign/climate-finance-package">climate-finance</a>
- Is the python package to get, clean, and work with international
public climate finance.</li>
<li><a href="https://www.vizzuality.com/project/heco-invest">HeCo
Invest</a> - A digital collaborative platform pilot aimed to support
filling the conservation financing gap in the Amazon Basin by optimizing
project financing channels in this region.</li>
</ul>
<h3 id="knowledge-platforms">Knowledge Platforms</h3>
<ul>
<li><a
href="https://github.com/ClimateWatch-Vizzuality/climate-watch">Climate
Watch</a> - Offers open data, visualizations and analysis to help
policymakers, researchers and other stakeholders gather insights on
countries’ climate progress.</li>
<li><a
href="https://www.appropedia.org/Welcome_to_Appropedia">Appropedia</a> -
Shares knowledge to build rich, sustainable lives.</li>
<li><a href="https://en.oho.wiki/wiki/Home">Open Hardware
Observatory</a> - Search engine and assessment platform for sustainable
open hardware.</li>
<li><a href="https://www.opensourceecology.org/">Open Source Ecology</a>
- Developing open source industrial machines that can be made for a
fraction of commercial costs, and sharing the designs for free.</li>
<li><a
href="https://github.com/ProjectDrawdown/solutions">ProjectDrawdown</a>
- The mission of Project Drawdown is to help the world reach “Drawdown”—
the point in the future when levels of greenhouse gases in the
atmosphere stop climbing and start to steadily decline, thereby stopping
catastrophic climate change — as quickly, safely, and equitably as
possible.</li>
<li><a
href="https://github.com/NOAAGov/NOAA-Affiliated-Projects">NOAA-Affiliated-Projects</a>
- A list of GitHub accounts and repositories that are contributed to by
National Oceanic and Atmospheric Administration staff from line offices
and/or staff office throughout the organization.</li>
<li><a href="https://climatescape.org/">Climatescape</a> - Discover the
organizations solving climate change.</li>
<li><a href="https://github.com/petermr/climate">Open Climate
Knowledge</a> - An open research project for data mining Open Access
papers related to Climate Change.</li>
<li><a
href="https://github.com/YaleOpenLab/openclimate-demo">OpenClimate</a> -
An open source initiative exploring the application of distributed
ledger technology and other emerging technologies, such as IoT, big data
and machine learning, to the challenge of helping the world keep a
transparent climate accounting system towards the climate targets.</li>
<li><a
href="https://github.com/EnviroDIY/ModularSensors">ModularSensors</a> -
This Arduino library gives environmental sensors a common interface of
functions for use with Arduino-compatible dataloggers.</li>
<li><a href="https://www.opensourceseeds.org/en">OpenSourceSeeds</a> -
Committed to re-establishing seed as a common good for all.</li>
<li><a href="https://www.transitionproject.org/">Transition Project</a>
- An Open Data Initiative designed to help enable rapid carbon abatement
for cities worldwide.</li>
<li><a href="https://github.com/climate-strike/license">Climate Strike
Software</a> - Prevent oil and gas companies from co-opting your work
and extracting more fossil fuels with this software license.</li>
<li><a href="http://www.impactlab.org/">Climate Impact Lab</a> - A team
of economists, climate scientists, data engineers, and risk analysts are
building the world’s most comprehensive body of research quantifying the
impacts of climate change, sector-by-sector and community-by-community
around the world.</li>
<li><a
href="https://github.com/washingtonpost/data-2C-beyond-the-limit-usa/">Climate
change in the contiguous United States</a> - The Washington Post’s
analysis of NOAA climate change data for the contiguous United
States.</li>
<li><a href="https://github.com/regen-network/regen-ledger">Regen
Ledger</a> - Providing a structured database of claims regarding
ecological state and change of state.</li>
<li><a
href="https://github.com/stripe/carbon-removal-source-materials">Stripe
Climate Carbon Removal Purchases</a> - Source materials supporting
Stripe Climate carbon removal purchases.</li>
<li><a href="https://github.com/usds/justice40-tool">Justice40 Tool</a>
- A tool to identify disadvantaged communities due to environmental,
socioeconomic and health burdens.</li>
<li><a href="https://zerotracker.net/">Net Zero Tracker</a> - Create the
definitive global resource for collating, assessing and presenting the
scale and quality of net zero pledges across nationals, sub-nationals,
companies and other entities.</li>
<li><a href="https://embeddingproject.org/goals-database">Credible Goals
Database</a> - A public goals database containing leading sustainability
goals and commitments set by large companies globally.</li>
<li><a
href="https://github.com/DPGAlliance/publicgoods-candidates">Digital
Public Goods</a> - Accelerate the attainment of the sustainable
development goals in low- and middle-income countries by facilitating
the discovery, development, use of, and investment in digital public
goods.</li>
<li><a href="https://github.com/ESIPFed/sweet">SWEET</a> - Official
repository for Semantic Web for Earth and Environmental Terminology
Ontologies.</li>
<li><a href="https://toolkit.climate.gov/">U.S. Climate Resilience
Toolkit</a> - A website designed to help people find and use tools,
information, and subject matter expertise to build climate
resilience.</li>
<li><a
href="https://github.com/ClimateMind/climatemind-backend">Climatemind</a>
- Explore how your values and personal interests are being affected by
climate change and shows you attractive solutions exist that you may not
be aware of.</li>
<li><a
href="https://github.com/chihacknight/decarbonize-my-state">Decarb My
State</a> - What does it take to decarbonize your state.</li>
<li><a href="https://github.com/mit-jp/climate-risk-map">STRESS Tool</a>
- Show climate risk on a map of the US, with the MIT Joint Program
data.</li>
<li><a href="https://climatechangetracker.org/">Climate Change
Tracker</a> - Empower individuals and communities to take action against
the global threat of climate change by providing a reliable,
user-friendly platform for tracking and understanding its
progression.</li>
<li><a href="https://naturadapt.com/">NATUR’ADAPT</a> - A community
interested in climate change and its impacts on nature, especially in
protected natural areas.</li>
<li><a
href="https://github.com/climate-tech-handbook/climate-tech-handbook">The
Climate Tech Handbook</a> - Help us build the most accessible and
accurate climate tech resource on the planet.</li>
<li><a
href="https://github.com/ubilabs/esa-climate-from-space">esa-climate-from-space</a>
- The role of the Climate from Space application is to increase the
visibility of the Climate Change Initiative programme and the role of
ESA satellite data in climate science.</li>
<li><a
href="https://github.com/protontypes/climate-triage">ClimateTriage</a> -
Discover a meaningful way to contribute to open source projects focused
on climate technology and sustainability.</li>
<li><a
href="https://github.com/protontypes/open-sustainable-technology">Open
Sustainable Technology</a> - A directory and analysis of the open source
ecosystem in the areas of climate change, energy, biodiversity and
natural resources.</li>
<li><a
href="https://github.com/GeoscienceAustralia/dea-notebooks">Digital
Earth Australia Notebooks</a> - Hosts Jupyter Notebooks, Python scripts
and workflows for analysing Digital Earth Australia (DEA) satellite data
and derived products.</li>
<li><a href="https://github.com/ONEARMY/community-platform">ONEARMY</a>
- A platform to build useful communities that aim to tackle social and
environmenta problems.</li>
</ul>
<h3 id="data-catalogs-and-interfaces">Data Catalogs and Interfaces</h3>
<ul>
<li><a href="https://globalfishingwatch.org/">Global Fishing Watch</a> -
We use cutting-edge technology to visualise, track and share data about
global fishing activity in near real-time and for free.</li>
<li><a href="https://globalwindatlas.info/">Global Wind Atlas</a> -
Immediately start exploring windy areas.</li>
<li><a href="https://globalsolaratlas.info/">Global Solar Atlas</a> -
Start exploring solar potential.</li>
<li><a href="https://data.apps.fao.org/">Food and Agriculture
Organization Map Catalog</a> - Allows to easily share geographically
referenced thematic information between different organizations.</li>
<li><a href="https://data.subak.org/">The Subak Data Catalogue</a> -
Exists to make climate data more discoverable, more trusted and more
connected.</li>
<li><a href="https://github.com/eea/geonetwork-eea">EEA geospatial data
catalogue</a> - Discover and access easily the geospatial data catalogue
of the European Environment Agency.</li>
<li><a href="https://github.com/radiantearth/radiant-mlhub">Radiant
MLHub Python Client</a> - Open community commons for geospatial training
data, machine learning models, and standards to encourage collaboration
and share information.</li>
<li><a href="https://db.cger.nies.go.jp/portal/geds/index">Global
Environmental Database</a> - Providing long-term monitoring data, data
analysis results, output of models.</li>
<li><a href="https://github.com/resource-watch/resource-watch">Resource
Watch</a> - Features hundreds of data sets all in one place on the state
of the planet’s resources and citizens.</li>
<li><a href="https://www.earthdata.nasa.gov/">EarthData</a> - Our vision
is to make NASA’s free and open Earth science data interactive,
interoperable, and accessible for research and societal benefit both
today and tomorrow.</li>
<li><a href="https://github.com/piersyork/owidR">owidR</a> - An R
Package for Interacting with Data from Our World in Data.</li>
<li><a href="https://github.com/sentinel-hub/custom-scripts">Custom
Scripts Sentinel Hub</a> - A repository of custom scripts to be used
with Sentinel Hub.</li>
<li><a href="https://github.com/rOpenGov/eurostat">eurostat R
package</a> - R tools to access open data from Eurostat, the statistical
office of the European Union.</li>
<li><a href="https://github.com/rOpenGov/giscoR">giscoR</a> - An R API
package that helps to retrieve data from Eurostat Geographic Information
System of the Commission.</li>
<li><a
href="https://github.com/digitalearthafrica/deafrica-sandbox-notebooks">Digital
Earth Africa Notebooks</a> - Using Earth observations to address social,
environmental and economic changes on the Africa continent.</li>
<li><a
href="http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/">MeCCO</a>
- Open Database on the Media Coverage of Climate Change and Global
Warming.</li>
<li><a href="https://github.com/mysociety/caps">Climate Action Plans</a>
- A simple, open database of local government climate action plan
documents and emissions data.</li>
<li><a href="https://github.com/microsoft/AIforEarthDataSets">AI for
Earth Data Sets</a> - Notebooks and documentation for
AI-for-Earth-managed datasets on Azure.</li>
<li><a href="https://github.com/wpgp/wopr">wopr</a> - An R package and
Shiny application to provide API access to the WorldPop Open Population
Repository.</li>
<li><a href="https://power.larc.nasa.gov/">The POWER Project</a> -
Provides solar and meteorological data sets from NASA research for
support of renewable energy, building energy efficiency and agricultural
needs.</li>
<li><a href="https://github.com/nasa/earthdata-search">Earthdata
Search</a> - A web application developed by NASA EOSDIS to enable data
discovery, search, comparison, visualization, and access across EOSDIS’
Earth Science data holdings.</li>
<li><a
href="https://github.com/microsoft/PlanetaryComputerDataCatalog">Planetary
Computer Data Catalog</a> - Combines a multi-petabyte catalog of global
environmental data with intuitive APIs and a flexible scientific
environment.</li>
<li><a href="https://globalenergymonitor.org/">Global Energy Monitor</a>
- Studies the evolving international energy landscape, creating
databases, reports, and interactive tools that enhance
understanding.</li>
<li><a href="https://github.com/stac-utils/stac-index">STAC Index</a> -
Find STAC Catalogs, Collections, APIs, Software and Tools.</li>
<li><a href="https://gitlab.com/geoharmonizer_inea/eumap">Eumap</a> -
Comprises environmental, land cover, terrain, climatic, soil and
vegetation layers covering the continental Europe at relatively fine
spatial resolutions.</li>
<li><a href="https://maps.opendatascience.eu/">Open Data Science Europe
Metadata Catalog</a> - Building the Open Data Science Europe Portal, a
freely-accessible viewer containing gridded layers for Europe at spatial
resolutions of 30-m or better.</li>
<li><a
href="https://github.com/JuliaDataCubes/EarthDataLab.jl">EarthDataLab.jl</a>
- Julia interface for Reading from the Earth System Datacube.</li>
<li><a href="https://archive.ceda.ac.uk/">The CEDA Archive</a> - We host
over 18 Petabytes of data from climate models, satellites, aircraft, met
observations, and other sources.</li>
<li><a href="https://climate.esa.int/en/odp/#/dashboard">Climate Data
Dashboard of the ESA Climate Change Initiative</a> - Access global
climate data produced through the ESA’s Climate Change Initiative.</li>
<li><a href="https://github.com/kapadia/usgs">USGS</a> - A python module
for interfacing with the US Geological Survey’s API.</li>
<li><a
href="https://github.com/16EAGLE/getSpatialData">getSpatialData</a> -
Making it easy to query, preview, download and preprocess multiple kinds
of satellite datasets via R.</li>
<li><a
href="https://github.com/smart-data-models/dataModel.Environment">Smart
Data Models</a> - This Models describe the main entities involved with
smart applications that deal with environmental issues.</li>
<li><a href="https://github.com/ropensci/epair">epair</a> - Use R to get
data from the Environmental Protection Agency API.</li>
<li><a href="https://github.com/Unidata/siphon">Siphon</a> - A
collection of Python utilities for retrieving atmospheric and oceanic
data from remote sources, focusing on being able to retrieve data from
Unidata data technologies.</li>
<li><a href="https://github.com/NEONScience/NEON-utilities">NEON</a> -
The National Ecological Observatory Network provides open data to
understand changing ecosystems.</li>
<li><a href="https://github.com/blaylockbk/SynopticPy">SynopticPy</a> -
Gives you access to real-time and historical surface-based weather and
environmental observations for thousands of stations.</li>
<li><a href="https://github.com/nasa/cmr-stac">NASA CMR STAC</a> -
NASA’s Common Metadata Repository is a metadata catalog of NASA Earth
Science data.</li>
<li><a href="https://github.com/allenai/satlas">satlas</a> - Aims to
provide open AI-generated geospatial data that is highly accurate,
available globally, and updated on a frequent (monthly) basis.</li>
<li><a href="https://github.com/michaeldavie/env_canada">env_canada</a>
- Provides access to various data sources published by Environment and
Climate Change Canada.</li>
<li><a href="https://github.com/DataONEorg/d1_python">DataONE</a> - A
community driven project providing access to data across multiple member
repositories, supporting enhanced search and discovery of Earth and
environmental data.</li>
<li><a href="https://github.com/DataONEorg/rdataone">rdataone</a> - R
package for reading and writing data at DataONE data repositories.</li>
<li><a href="https://github.com/r-earthengine/ee_extra">eeExtra</a> - A
ninja python package that unifies the Google Earth Engine
ecosystem.</li>
<li><a href="https://github.com/r-spatial/rgee">rgee</a> - An R binding
package for calling Google Earth Engine API from within R.</li>
<li><a href="https://github.com/nsidc/earthaccess">earthaccess</a> -
Search, download or stream NASA Earth science data with just a few lines
of code.</li>
<li><a href="https://github.com/CS-SI/eodag">EODAG</a> - Gives you an
easy way to access products from more than 10 earth observation
providers, with more than 50 different product types (Sentinel 1,
Sentinel 2, Sentinel 3, Landsat, etc.) that can be searched and
downloaded.</li>
<li><a href="https://github.com/opengeos/leafmap">leafmap</a> - A Python
package for geospatial analysis and interactive mapping in a Jupyter
environment.</li>
<li><a href="https://github.com/EDIorg/ecocomDP">ecocomDP</a> - A
dataset design pattern for harmonizing ecological community surveys in a
research question agnostic format from source datasets published across
multiple repositories.</li>
<li><a href="https://github.com/ropensci/FedData">FedData</a> - R
package implementing functions to automate downloading geospatial data
available from several federated data sources in hydology, soil,
climatology, cropland or landcover.</li>
<li><a href="https://github.com/pydap/pydap">pydap</a> - An
implementation of the Opendap/DODS protocol, written from scratch in
pure Python, that allows researchers to access NASA Earth science data
from a variety of programs.</li>
<li><a href="https://github.com/USGCRP/gcis">GCIS</a> - As a centralized
catalog of all materials and data used for Global Change Information
System products and climate assessments.</li>
<li><a
href="https://github.com/edgi-govdata-archiving/ECHO-Cross-Program">ECHO</a>
- Contains Jupyter notebooks for processing the EPA’s Environmenal
Compliance History Online (ECHO) data from multiple EPA program in
emissions, violations, inspections, and enforcement for the Clean Air
Act, Clean Water Act, and Resouce Conservation and Recovery Act.</li>
<li><a href="https://github.com/ECCC-MSC/msc-pygeoapi">msc_pygeoapi</a>
- The Meteorological Service of Canada Python API provides up-to-date
information on past, present and future weather conditions, climate,
water and environmental information over Canada and the world.</li>
<li><a href="https://github.com/Clay-foundation/model">Clay Foundation
Model</a> - Clay is a foundational model of Earth using a vision
transformer architecture adapted to understand geospatial and temporal
relations on Earth Observation data.</li>
</ul>
<h3 id="environmental-satellites">Environmental Satellites</h3>
<ul>
<li><a href="https://github.com/pytroll/satpy">satpy</a> - A python
library for reading and manipulating meteorological remote sensing data
and writing it to various image and data file formats.</li>
<li><a href="https://github.com/blaylockbk/goes2go">goes2go</a> -
Download and process GOES-16 and GOES-17 data from NOAA’s archive on AWS
using Python.</li>
<li><a
href="https://github.com/yannforget/landsatxplore">landsatxplore</a> -
Provides an interface to the EarthExplorer portal to search and download
Landsat Collections scenes through a command-line interface or a Python
API.</li>
<li><a
href="https://github.com/sentinel-hub/sentinelhub-py">sentinelhub-py</a>
- Download and process satellite imagery in Python using Sentinel Hub
services.</li>
<li><a href="https://github.com/sentinelsat/sentinelsat">sentinelsat</a>
- Makes searching, downloading and retrieving the metadata of Sentinel
satellite images from the Copernicus Open Access Hub easy.</li>
<li><a href="https://github.com/fdetsch/MODIS">MODIS</a> - Provides
automated access to the global online data archives LP DAAC, LAADS and
NSIDC as well as processing capabilities such as file conversion,
mosaicking, subsetting and time series.</li>
<li><a href="https://github.com/ropensci/MODIStsp">MODIStsp</a> - An R
package for automatic download and preprocessing of MODIS Land Products
Time-Series.</li>
<li><a
href="https://github.com/bluegreen-labs/MODISTools">MODISTools</a> -
Interface to the MODIS Land Products Subsets Web Services.</li>
<li><a href="https://github.com/lucadelu/pyModis">pyModis</a> - A Python
library to download and process MODIS data from NASA server.</li>
<li><a href="https://github.com/openclimatefix/Satip">Satip</a> - A
library for satellite image processing providing all of the
functionality necessary for retrieving, and storing EUMETSAT data.</li>
<li><a href="https://github.com/Open-EO/openeo-python-client">openEO</a>
- Provides intuitive programming libraries to process a wide variety of
earth observation datasets.</li>
<li><a
href="https://github.com/bopen/xarray-sentinel">xarray-sentinel</a> -
Easily access and explore the SAR data products of the Copernicus
Sentinel-1 satellite mission in Python.</li>
<li><a href="https://github.com/martinber/noaa-apt">noaa-apt</a> -
Receive and decode images from weather satellites via radio
signals.</li>
<li><a href="https://github.com/stcorp/harp">harp</a> - Data
harmonization toolset for scientific earth observation data.</li>
<li><a href="https://github.com/peterkuma/ccplot">ccplot</a> -
Command-line application for visualizing data from CloudSat and CALIPSO
satellites.</li>
<li><a href="https://github.com/pietern/goestools">goestools</a> - Tools
to work with signals and files from GOES satellites.</li>
<li><a href="https://github.com/eurodatacube/eodash">eodash</a> -
Combines the resources, technical knowledge and expertise of three
partner agencies ESA, JAXA, and NASA to strengthen our global
understanding of global environmental changes and other societal
challenges impacting our planet.</li>
<li><a href="https://github.com/ICESat2-SlideRule/sliderule">SlideRule
Earth</a> - Process ICESat2 datasets in the cloud through REST API calls
to SlideRule web services.</li>
<li><a href="https://github.com/evetion/SpaceLiDAR.jl">SpaceLiDAR</a> -
A Julia toolbox for ICESat, ICESat-2 and GEDI data to quickly search,
download, and load filtered point data with relevant attributes from the
.h5 granules of each data product.</li>
<li><a href="https://github.com/senbox-org/snap-engine">SNAP</a> - The
common software platform for the three Sentinel Toolboxes which are
developed by the European Space Agency (ESA) for the scientific
exploitation of the Sentinel-1, Sentinel-2 and Sentinel-3 missions.</li>
<li><a href="https://github.com/sertit/eoreader">EOReader</a> - A
remote-sensing opensource python library reading optical and SAR
constellations, loading and stacking bands, clouds, DEM and spectral
indices in a sensor-agnostic way.</li>
<li><a href="https://github.com/logan-berner/LandsatTS">LandsatTS</a> -
An R package to facilitate retrieval, cleaning, cross-calibration, and
phenological modeling of Landsat time-series data.</li>
</ul>
<h3 id="taxonomy-and-ontology">Taxonomy and Ontology</h3>
<ul>
<li><a
href="https://github.com/Azure/opendigitaltwins-energygrid">Digital
Twins Definition Language ontology for Energy Grid</a> - A global
standard for energy grid assets management, power system operations
modeling and physical energy commodity market.</li>
<li><a href="https://github.com/OpenEnergyPlatform/ontology">The Open
Energy Ontology</a> - A domain ontology of the energy-system modeling
context.</li>
<li><a
href="https://github.com/EnvironmentOntology/environmental-exposure-ontology">ECTO</a>
- Modular environmental exposures ontology.</li>
<li><a href="https://github.com/EnvironmentOntology/envo">ENVO</a> - A
community-driven ontology for the representation of environments.</li>
<li><a href="https://github.com/NCEAS/eml">EML</a> - An open source,
community oriented project dedicated to providing a high-quality
metadata specification for describing data relevant to diverse
disciplines that involve observational research like ecology, earth, and
environmental science.</li>
<li><a
href="https://github.com/Good-Data-Hub/taxonomy4good">taxonomy4good</a>
- A sustainability lexicon that provides the freedom to create custom
taxonomies in addition to listed taxonomies.</li>
<li><a href="https://github.com/EcologicalSemantics/ecocore">ecoCore</a>
- A standard vocabulary for the ecological community, a need expressed
repeatedly over the past few years at workshops focused on ecological,
environmental, and population-based semantics.</li>
<li><a href="https://github.com/pik-primap/climate_categories">Climate
categories</a> - Commonly used codes, categories, terminologies, and
nomenclatures used in climate policy analysis in a nice Python
package.</li>
<li><a href="https://github.com/BIG-MAP/BattINFO">BattINFO</a> -
Consists of a list of entities representing concepts used in batteries
and electrochemistry.</li>
<li><a href="https://github.com/rebipp/ppi">Plant-Pollinator
Interactions Vocabulary</a> - Plant-Pollinator Interactions is a
standardized vocabulary maintained by the Brazilian Network on
Plant-Pollinator Interactions.</li>
<li><a href="https://github.com/Planteome/plant-trait-ontology">Plant
Trait Ontology</a> - A controlled vocabulary of describe phenotypic
traits in plants.</li>
<li><a href="https://github.com/FoodOntology/foodon">FOODON</a> -
Provides a neutral and ontology-driven standard for government agencies,
industry, nonprofits and consumers to name and reference food products
and their components throughout the food supply chain.</li>
</ul>
<h3 id="curated-lists">Curated Lists</h3>
<ul>
<li><a href="https://github.com/KKulma/climate-change-data">Datasets
APIs and open source projects related to Climate Change</a> - A curated
list of APIs, open data and ML/AI projects on climate change.</li>
<li><a href="https://github.com/lf-energy/lfenergy-landscape">Linux
Foundation Energy Landscape</a> - This landscape is intended as a map to
explore the open source projects in the energy sector, and also shows
the member companies of the LF Energy Foundation.</li>
<li><a href="https://wiki.openmod-initiative.org/wiki/Open_Models">Open
Models</a> - This page lists energy models published under open source
licenses.</li>
<li><a
href="https://github.com/Green-Software-Foundation/awesome-green-software">Awesome
Green Software</a> - Research, tools, code, libraries and training to
for building applications that emit less carbon into our
atmosphere.</li>
<li><a
href="https://github.com/pogopaule/awesome-sustainability-jobs">Awesome
Sustainability Jobs</a> - A curated list of companies in the
sustainability sector that have jobs for devs.</li>
<li><a
href="https://github.com/awesome-spectral-indices/awesome-spectral-indices">Awesome
Spectral Indices</a> - A ready-to-use curated list of Spectral Indices
for Remote Sensing applications.</li>
<li><a href="https://github.com/px39n/Awesome-Vegetation-Index">Awesome
Vegetation Index</a> - List of reference, applications of common
Vegetation Indices for Multi-spectral, hyper-spectral and UAV
images.</li>
<li><a
href="https://github.com/CUTR-at-USF/awesome-transit">awesome-transit</a>
- Community list of transit APIs, apps, datasets, research, and
software.</li>
<li><a href="https://github.com/chrisleaman/awesome-coastal">Awesome
Coastal</a> - A curated list of awesome resources for coastal engineers
and scientists.</li>
<li><a
href="https://github.com/brycejohnston/awesome-agriculture">Awesome
Agriculture</a> - Open source technology for agriculture, farming, and
gardening.</li>
<li><a
href="https://github.com/awesome-cryosphere/cryosphere-links">Cryosphere
Software, Data and Tools</a> - A prototype of a curated list of awesome
data sources, models, tools and organizations related to the Cryosphere
and its subspheres.</li>
<li><a href="https://github.com/nglgzz/awesome-clean-tech">Awesome Clean
Tech</a> - Clean technology is any process, product, or service that
reduces negative environmental impacts through significant energy
efficiency improvements, the sustainable use of resources, or
environmental protection activities.</li>
<li><a
href="https://github.com/pangeo-data/awesome-open-climate-science">Awesome
Open Climate Science</a> - Awesome Open Atmospheric, Ocean, and Climate
Science.</li>
<li><a href="https://github.com/philsturgeon/awesome-earth">Awesome
Earth</a> - “What can I do about the climate crisis?” Here are 326
things you can do.</li>
<li><a
href="https://github.com/softwareunderground/awesome-open-geoscience">Awesome
Open Geoscience</a> - Curated from repositories that make our lives as
geoscientists, hackers and data wranglers easier or just more
awesome.</li>
<li><a
href="https://github.com/daviddao/code-against-climate-change">Code
against Climate Change</a> - A curated list of tech projects against
climate change - hoping to inspire disruptive technological climate
action.</li>
<li><a href="https://github.com/arctic-risk/awesome-arctic-data">Awesome
Arctic Data</a> - A curated list on data sources related to climate
change in the arctic.</li>
<li><a
href="https://github.com/wenhwu/awesome-remote-sensing-change-detection">Awesome
Remote Sensing Change Detection</a> - List of datasets, codes, and
contests related to remote sensing change detection.</li>
<li><a
href="https://github.com/blutjens/awesome-forests/">Awesome-forests</a>
- A curated list of ground-truth forest datasets for the machine
learning and forestry community.</li>
<li><a
href="https://github.com/philippgaertner/awesome-earth-engine-apps">awesome-earth-engine-apps</a>
- An awesome list of all available Google Earth Engine Apps and
user-specific App Galleries.</li>
<li><a
href="https://github.com/samapriya/awesome-gee-community-datasets/">awesome-gee-community-datasets</a>
- Community Datasets &amp; Data Commons in Google Earth Engine.</li>
<li><a
href="https://github.com/APA-Technology-Division/urban-and-regional-planning-resources">Urban
&amp; Regional Planning Resources</a> - Community list of data &amp;
technology resources concerning the built environment and
communities.</li>
<li><a
href="https://github.com/raoulcollenteur/Python-Hydrology-Tools">Open
Source Python Packages in Hydrology</a> - Holds a list of open source
Python packages interesting to Hydrologists.</li>
<li><a href="https://podaac.jpl.nasa.gov/cloud-datasets">PO.DAAC</a> -
NASA Earth Observing System Data and Information System data center
managed by the Earth Science Data and Information System Project.</li>
<li><a href="https://github.com/kr-stn/awesome-sentinel">Awesome
Sentinel</a> - A curated list of awesome tools, tutorials and APIs
related to data from the Copernicus Sentinel Satellites.</li>
<li><a
href="https://github.com/opengeos/geospatial-data-catalogs">geospatial-data-catalogs</a>
- A list of open geospatial datasets available on AWS, Earth Engine,
Planetary Computer, and STAC Index.</li>
<li><a href="https://github.com/IndEcol/Dashboard">Industrial Ecology
Dashboard</a> - A collection of open source projects relevant for
industrial ecology practitioners.</li>
<li><a href="https://energy.acm.org/resources/">Energy Systems and
Informatics Collection by ACM SIGEnergy</a> - A curated list of publicly
available datasets, models, and software for researchers and
professionals who study energy systems and informatics.</li>
<li><a
href="https://github.com/ESIPFed/Awesome-Earth-Artificial-Intelligence">Awesome-Earth-Artificial-Intelligence</a>
- A curated list of tutorials, notebooks, software, datasets, courses,
books, video lectures and papers specifically for Artificial
Intelligence use cases in Earth Science.</li>
<li><a
href="https://github.com/Agri-Hub/Callisto-Dataset-Collection">Callisto-Dataset-Collection</a>
- A list of datasets aiming to enable Artificial Intelligence
applications that use Earth Observation, satellite and other data.</li>
<li><a
href="https://github.com/IrishMarineInstitute/awesome-erddap">Awesome
ERDDAP</a> - A curated list of awesome Environmental Research Division’s
Data Access Program (ERDDAP) projects and deployments.</li>
</ul>
<h2 id="contributors">Contributors</h2>
<p><a href="https://github.com/protontypes/open-sustainable-technology/graphs/contributors">
<img width="70%" src="https://contrib.rocks/image?repo=protontypes/open-sustainable-technology" />
</a></p>
<h2 id="artwork-and-license">Artwork and License</h2>
<p>Animation created with <a
href="https://github.com/eleanorlutz/earth_atlas_of_space">An Animated
Map of the Earth</a> by <a href="https://eleanorlutz.com/">Eleanor
Lutz</a></p>
<p>The artwork included in this repository are shared under a Creative
Commons Attribution-NonCommercial-NoDerivatives 4.0 International
License.</p>
<p>This work and all contributions to it are released into terms of the
Creative Commons Attribution 4.0 International if not otherwise
noted.</p>
<p><a href="https://creativecommons.org/licenses/by-sa/4.0/"><img
src="https://licensebuttons.net/l/by-sa/4.0/88x31.png"
alt="CC-BY-4.0 license" /></a></p>
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