[38;5;12m                                                                                                              [39m[38;2;255;187;0m[1m[4mAwesome Dataviz[0m
[38;5;14m[1m![0m[38;5;12mAwesome[39m[38;5;14m[1m [0m[38;5;14m[1m(https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)[0m[38;5;12m [39m[38;5;12m(https://github.com/sindresorhus/awesome)[39m[38;5;12m [39m[38;5;12m![39m[38;5;14m[1mTest[0m[38;5;12m [39m
[38;5;12m(https://github.com/javierluraschi/awesome-dataviz/actions/workflows/main.yaml/badge.svg)[39m


[38;5;12mA curated list of awesome [39m[38;5;14m[1mopen-source[0m[38;5;12m data visualizations frameworks, libraries and software. Inspired by [39m[38;5;14m[1mawesome-python[0m[38;5;12m (https://github.com/vinta/awesome-python) and originally created by [39m[38;5;14m[1mfasouto[0m[38;5;12m (https://github.com/fasouto).[39m


[38;2;255;187;0m[4mContents[0m
[38;5;12m- [39m[38;5;14m[1mAwesome dataviz[0m[38;5;12m (#awesome-dataviz)[39m
[48;5;235m[38;5;249m- **JavaScript tools** (#javascript-tools)[49m[39m[48;5;235m[38;5;249m                          [49m[39m
[48;5;235m[38;5;249m	- **Charting libraries** (#charting-libraries)[49m[39m[48;5;235m[38;5;249m                      [49m[39m
[48;5;235m[38;5;249m	- **Charting libraries for graphs** (#charting-libraries-for-graphs)[49m[39m
[48;5;235m[38;5;249m	- **Maps** (#maps)[49m[39m[48;5;235m[38;5;249m                                                  [49m[39m
[48;5;235m[38;5;249m	- **d3** (#d3)[49m[39m[48;5;235m[38;5;249m                                                      [49m[39m
[48;5;235m[38;5;249m	- **React** (#react)[49m[39m[48;5;235m[38;5;249m                                                [49m[39m
[48;5;235m[38;5;249m	- **Misc** (#misc)[49m[39m[48;5;235m[38;5;249m                                                  [49m[39m
[48;5;235m[38;5;249m- **Android tools** (#android-tools)[49m[39m[48;5;235m[38;5;249m                                [49m[39m
[48;5;235m[38;5;249m- **C++ tools** (#c-tools)[49m[39m[48;5;235m[38;5;249m                                          [49m[39m
[48;5;235m[38;5;249m- **Golang tools** (#golang-tools)[49m[39m[48;5;235m[38;5;249m                                  [49m[39m
[48;5;235m[38;5;249m- **iOS tools** (#ios-tools)[49m[39m[48;5;235m[38;5;249m                                        [49m[39m
[48;5;235m[38;5;249m- **Python tools** (#python-tools)[49m[39m[48;5;235m[38;5;249m                                  [49m[39m
[48;5;235m[38;5;249m- **R tools** (#r-tools)[49m[39m[48;5;235m[38;5;249m                                            [49m[39m
[48;5;235m[38;5;249m- **Ruby tools** (#ruby-tools)[49m[39m[48;5;235m[38;5;249m                                      [49m[39m
[48;5;235m[38;5;249m- **Markup-based tools** (#markup-based-tools)[49m[39m[48;5;235m[38;5;249m                      [49m[39m
[48;5;235m[38;5;249m- **Other tools** (#other-tools)[49m[39m[48;5;235m[38;5;249m                                    [49m[39m
[38;5;12m- [39m[38;5;14m[1mResources[0m[38;5;12m (#resources)[39m
[48;5;235m[38;5;249m- **Books** (#books)[49m[39m[48;5;235m[38;5;249m                      [49m[39m
[48;5;235m[38;5;249m- **Catalogs** (#catalogs)[49m[39m[48;5;235m[38;5;249m                [49m[39m
[48;5;235m[38;5;249m- **Podcasts** (#podcasts)[49m[39m[48;5;235m[38;5;249m                [49m[39m
[48;5;235m[38;5;249m- **Twitter accounts** (#twitter-accounts)[49m[39m
[38;5;12m 	- [39m[38;5;14m[1mWebsites[0m[38;5;12m (#websites)[39m
[38;5;12m- [39m[38;5;14m[1mContributing[0m[38;5;12m (#contributing)[39m
[38;5;12m- [39m[38;5;14m[1mLicense[0m[38;5;12m (#license)[39m

[38;2;255;187;0m[4mJavaScript tools[0m

[38;2;255;187;0m[4mCharting libraries[0m
[38;5;12m- [39m[38;5;14m[1mApexCharts[0m[38;5;12m (https://apexcharts.com/) - Modern & Interactive SVG Charts.[39m
[38;5;12m- [39m[38;5;14m[1mChart.js[0m[38;5;12m (https://www.chartjs.org/) - Charts with the canvas tag.[39m
[38;5;12m- [39m[38;5;14m[1mChartist.js[0m[38;5;12m (https://gionkunz.github.io/chartist-js/) - Responsive charts with great browser compatibility.[39m
[38;5;12m- [39m[38;5;14m[1mdc.js[0m[38;5;12m (https://github.com/dc-js/dc.js) is an multi-Dimensional charting built to work natively with crossfilter.[39m
[38;5;12m- [39m[38;5;14m[1mDygraphs[0m[38;5;12m (https://dygraphs.com/) - Interactive line charts library that works with huge datasets.[39m
[38;5;12m- [39m[38;5;14m[1mEcharts[0m[38;5;12m (https://github.com/ecomfe/echarts) - Highly customizable and interactive charts ready for big datasets.[39m
[38;5;12m- [39m[38;5;14m[1mEpoch[0m[38;5;12m (https://github.com/epochjs/epoch) - Perfect to create real-time charts.[39m
[38;5;12m- [39m[38;5;14m[1mGoogle Charts[0m[38;5;12m (https://developers.google.com/chart) - Interactive charts for browsers and mobile devices.[39m
[38;5;12m- [39m[38;5;14m[1mG2[0m[38;5;12m (https://g2plot.antv.vision/en) - an interactive and responsive charting library based on the grammar of graphics, maintained by Alibaba[39m
[38;5;12m- [39m[38;5;14m[1mGraphicsJS[0m[38;5;12m (http://www.graphicsjs.org) - Lightweight JS graphics library with intuitive API, based on SVG/VML.[39m
[38;5;12m- [39m[38;5;14m[1mlit-line[0m[38;5;12m (https://github.com/apinet/lit-line) - SVG Line Chart Web Component - light, fast, interactive & fully responsive.[39m
[38;5;12m- [39m[38;5;14m[1mMetricsGraphics.js[0m[38;5;12m (https://metricsgraphicsjs.org/) - Optimized for time-series data.[39m
[38;5;12m- [39m[38;5;14m[1mNVD3[0m[38;5;12m (https://github.com/novus/nvd3) - A reusable charting library written in d3.js.[39m
[38;5;12m- [39m[38;5;14m[1mPlotly.js[0m[38;5;12m (https://github.com/plotly/plotly.js/) - Powerful declarative library with support for 20 chart types.[39m
[38;5;12m- [39m[38;5;14m[1mReact wrapper[0m[38;5;12m (https://github.com/hustcc/echarts-for-react)[39m
[38;5;12m- [39m[38;5;14m[1mTechanJS[0m[38;5;12m (https://techanjs.org/) - Stock and financial charts.[39m
[38;5;12m- [39m[38;5;14m[1mTOAST UI Chart[0m[38;5;12m (https://github.com/nhnent/tui.chart) - Complete library with support for legacy browsers.[39m
[38;5;12m- [39m[38;5;14m[1mVizzu[0m[38;5;12m (https://github.com/vizzuhq/vizzu-lib) - Library for animated data visualizations and data stories.[39m

[38;2;255;187;0m[4mCharting libraries for graphs[0m
[38;5;12m- [39m[38;5;14m[1mCola.js[0m[38;5;12m (https://marvl.infotech.monash.edu/webcola/) - A tool to create diagrams using constraint-based optimization techniques. Works with d3 and svg.js.[39m
[38;5;12m- [39m[38;5;14m[1mCytoscape.js[0m[38;5;12m (https://js.cytoscape.org/) - JavaScript library for graph drawing maintained by [39m[38;5;14m[1mCytoscape[0m[38;5;12m (https://www.cytoscape.org) core developers.[39m
[38;5;12m- [39m[38;5;14m[1mSigma.js[0m[38;5;12m (https://sigmajs.org/) - JavaScript library dedicated to graph drawing.[39m
[38;5;12m- [39m[38;5;14m[1mVivaGraph[0m[38;5;12m (https://github.com/anvaka/VivaGraphJS) - Graph drawing library for JavaScript.[39m
[38;5;12m- [39m[38;5;14m[1mG6[0m[38;5;12m (https://github.com/antvis/g6) - Graph visualization library powered by Javascript & Typescript, maintained by Alibaba[39m
[38;5;12m- [39m[38;5;14m[1mdiagram.js[0m[38;5;12m (https://github.com/bpmn-io/diagram-js) - Javascript diagram library serving as the basis for camunda's online BPMN modeler.[39m
[38;5;12m- [39m[38;5;14m[1mUber React Digraph[0m[38;5;12m (https://github.com/uber/react-digraph) - React.js based directed graph library maintained by UBER.[39m

[38;2;255;187;0m[4mMaps[0m
[38;5;12m- [39m[38;5;14m[1mCARTO[0m[38;5;12m (https://github.com/CartoDB/cartodb) - CARTO is an open source tool that allows for the storage and visualization of geospatial data on the web.[39m
[38;5;12m- [39m[38;5;14m[1mCesium[0m[38;5;12m (https://github.com/AnalyticalGraphicsInc/cesium) - WebGL 3D globes and maps.[39m
[38;5;12m- [39m[38;5;14m[1mDeck.gl[0m[38;5;12m (https://deck.gl/) - WebGL framework for visual exploratory data analysis of large datasets.[39m
[38;5;12m- [39m[38;5;14m[1mL7[0m[38;5;12m (https://github.com/antvis/L7) - Large-scale WebGL-powered Geospatial Data Visualization analysis framework, maintained by Alibaba[39m
[38;5;12m- [39m[38;5;14m[1mL7 Plot[0m[38;5;12m (https://github.com/antvis/L7Plot) - Geospatial Visualization Chart Library, maintained by Alibaba[39m
[38;5;12m- [39m[38;5;14m[1mDataMaps[0m[38;5;12m (https://github.com/markmarkoh/datamaps) - Interactive SVG maps using D3.js.[39m
[38;5;12m- [39m[38;5;14m[1mDipper[0m[38;5;12m (https://github.com/antvis/dipper) - Map application development framework powered by L7, maintained by Alibaba.[39m
[38;5;12m- [39m[38;5;14m[1mLeaflet[0m[38;5;12m (https://leafletjs.com) - JavaScript library for mobile-friendly interactive maps.[39m
[38;5;12m- [39m[38;5;14m[1mMapael[0m[38;5;12m (https://github.com/neveldo/jQuery-Mapael) - jQuery plugin based on raphael.js to display vector maps.[39m

[38;2;255;187;0m[4md3[0m
[38;5;12m- See [39m[38;5;14m[1mAwesome D3[0m[38;5;12m (https://github.com/wbkd/awesome-d3)[39m

[38;2;255;187;0m[4mReact[0m
[38;5;12m- [39m[38;5;14m[1mBizCharts[0m[38;5;12m (https://github.com/alibaba/BizCharts) - Data visualization library based on [39m[38;5;14m[1mG2[0m[38;5;12m (https://github.com/antvis/G2) and React[39m
[38;5;12m- [39m[38;5;14m[1mGraphin[0m[38;5;12m (https://github.com/antvis/Graphin) - Graph visualization library powered by React & Typescript (built on top of G6, maintained by Alibaba.[39m
[38;5;12m- [39m[38;5;14m[1mReact-vis[0m[38;5;12m (https://github.com/uber/react-vis) - React components to build data visualizations.[39m
[38;5;12m- [39m[38;5;14m[1mRecharts[0m[38;5;12m (https://github.com/recharts/recharts) - Declarative react components to render D3 charts.[39m
[38;5;12m- [39m[38;5;14m[1mVictory[0m[38;5;12m (https://formidable.com/open-source/victory/) - Composable components for building interactive data visualizations[39m
[38;5;12m- [39m[38;5;14m[1mnivo[0m[38;5;12m (https://github.com/plouc/nivo) - Supercharged dataviz components for React with isomorphic ability, [39m[38;5;14m[1mdemo[0m[38;5;12m (https://nivo.rocks).[39m
[38;5;12m- [39m[38;5;14m[1mReact Svg Textures[0m[38;5;12m (https://github.com/finnfiddle/react-svg-textures) - Textures.js ported to React. Fully isomorphic.[39m
[38;5;12m- [39m[38;5;14m[1mDevExtreme React Chart[0m[38;5;12m (https://devexpress.github.io/devextreme-reactive/react/chart/) - High-performance plugin-based React chart for Bootstrap and Material Design.[39m

[38;2;255;187;0m[4mReact Native[0m
[38;5;12m- [39m[38;5;14m[1mF2[0m[38;5;12m (https://github.com/antvis/F2) - An elegant, interactive and flexible charting library for mobile, maintained by Alibaba[39m

[38;2;255;187;0m[4mMisc[0m
[38;5;12m- [39m[38;5;14m[1mGraphology[0m[38;5;12m (https://github.com/graphology/graphology) - A robust & multipurpose Graph object for javascript & TypeScript; Serves as a base library to power other graph visualization libraries.[39m
[38;5;12m- [39m[38;5;14m[1mPiecon[0m[38;5;12m (https://github.com/lipka/piecon) - Pie charts in your favicon.[39m
[38;5;12m- [39m[38;5;14m[1mTextures.js[0m[38;5;12m (https://riccardoscalco.github.io/textures/) - A library to create SVG patterns.[39m
[38;5;12m- [39m[38;5;14m[1mTimeline.js[0m[38;5;12m (https://timeline.knightlab.com/) -  Create interactive timelines.[39m
[38;5;12m- [39m[38;5;14m[1mVega[0m[38;5;12m (https://vega.github.io/vega/) - Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs.[39m
[38;5;12m- [39m[38;5;14m[1mVega-Lite[0m[38;5;12m (https://vega.github.io/vega-lite/) - is a high-level grammar of interactive graphics. It provides a concise JSON syntax for rapidly generating visualizations to support analysis.[39m
[38;5;12m- [39m[38;5;14m[1mVis.js[0m[38;5;12m (https://visjs.org/) - A dynamic visualization library including timeline, networks and graphs (2D and 3D).[39m

[38;2;255;187;0m[4mAndroid tools[0m
[38;5;12m- [39m[38;5;14m[1mDecoView[0m[38;5;12m (https://github.com/bmarrdev/android-DecoView-charting) - Animated circular wheel chart library.[39m
[38;5;12m- [39m[38;5;14m[1mMPAndroidChart[0m[38;5;12m (https://github.com/PhilJay/MPAndroidChart) - A powerful & easy to use chart library.[39m
[38;5;12m- [39m[38;5;14m[1mWilliamChart[0m[38;5;12m (https://github.com/diogobernardino/WilliamChart) - Simple chart library.[39m

[38;2;255;187;0m[4mC++ tools[0m
[38;5;12m- [39m[38;5;14m[1mLargeVis[0m[38;5;12m (https://github.com/lferry007/LargeVis) - implementation of the [39m[38;5;14m[1mLargeVis paper[0m[38;5;12m (https://arxiv.org/abs/1602.00370), used to visualize large-scale and high-dimensional data.[39m
[38;5;12m- [39m[38;5;14m[1mPlotJuggler[0m[38;5;12m (https://github.com/facontidavide/PlotJuggler) - open-source Qt5 application to plot charts (based on Qwt).[39m
[38;5;12m- [39m[38;5;14m[1mVisualization Toolkit (VTK)[0m[38;5;12m (https://gitlab.kitware.com/vtk/vtk/blob/master/README.md) - open-source library for 3d Graphics, image processing and visualization.[39m

[38;2;255;187;0m[4mGolang tools[0m
[38;5;12m- [39m[38;5;14m[1msvgo[0m[38;5;12m (https://github.com/ajstarks/svgo) - Go Language Library for SVG generation.[39m
[38;5;12m- [39m[38;5;14m[1mplot[0m[38;5;12m (https://github.com/gonum/plot) - API for building and drawing plots in Go.[39m
[38;5;12m- [39m[38;5;14m[1mgo-echars[0m[38;5;12m (https://github.com/chenjiandongx/go-echarts) - Simple yet powerful data visualizing library for Go.[39m

[38;2;255;187;0m[4miOS tools[0m
[38;5;12m- [39m[38;5;14m[1mBEMSimpleLineGraph[0m[38;5;12m (https://github.com/Boris-Em/BEMSimpleLineGraph) - Highly customizable and interactive line graphs.[39m
[38;5;12m- [39m[38;5;14m[1mCharts[0m[38;5;12m (https://github.com/danielgindi/Charts) -  iOS port of MPAndroidChart. You can create charts for both platforms with very similar code.[39m
[38;5;12m- [39m[38;5;14m[1mJBChartView[0m[38;5;12m (https://github.com/Jawbone/JBChartView) - Charting library for both line and bar graphs.[39m
[38;5;12m- [39m[38;5;14m[1mPNChart[0m[38;5;12m (https://github.com/kevinzhow/PNChart) - A simple and beautiful chart lib used in Piner and CoinsMan.[39m

[38;2;255;187;0m[4mMachine Learning tools[0m
[38;5;12m- [39m[38;5;14m[1mTensorWatch[0m[38;5;12m (https://github.com/microsoft/tensorwatch) - Debugging and visualization tool for data science and machine learning[39m

[38;2;255;187;0m[4mPython tools[0m
[38;5;12m- [39m[38;5;14m[1maltair[0m[38;5;12m (https://altair-viz.github.io/) - Declarative statistical visualizations, based on Vega-Lite.[39m
[38;5;12m- [39m[38;5;14m[1mbokeh[0m[38;5;12m (https://bokeh.pydata.org/en/latest/) - Interactive Web Plotting for Python.[39m
[38;5;12m- [39m[38;5;14m[1mChartify[0m[38;5;12m (https://github.com/spotify/chartify) - Bokeh wrapper that makes it easy for data scientists to create charts.[39m
[38;5;12m- [39m[38;5;14m[1mdiagram[0m[38;5;12m (https://github.com/tehmaze/diagram) - Text mode diagrams using UTF-8 characters[39m
[38;5;12m- [39m[38;5;14m[1mggplot[0m[38;5;12m (https://github.com/yhat/ggpy) - plotting system based on [39m[38;5;14m[1mR's[0m[38;5;12m (#r-tools) ggplot2.[39m
[38;5;12m- [39m[38;5;14m[1mglumpy[0m[38;5;12m (https://github.com/glumpy/glumpy) - OpenGL scientific visualizations library.[39m
[38;5;12m- [39m[38;5;14m[1mholoviews[0m[38;5;12m (https://holoviews.org/) - Complex and declarative visualizations from annotated data.[39m
[38;5;12m- [39m[38;5;14m[1mipychart[0m[38;5;12m (https://github.com/nicohlr/ipychart) - The power of Chart.js in Jupyter Notebook.[39m
[38;5;12m- [39m[38;5;14m[1mmayai[0m[38;5;12m (https://docs.enthought.com/mayavi/mayavi/) - interactive scientific data visualization and 3D plotting in Python.[39m
[38;5;12m- [39m[38;5;14m[1mmatplotlib[0m[38;5;12m (https://matplotlib.org/) - 2D plotting library.[39m
[38;5;12m- [39m[38;5;14m[1mmissingno[0m[38;5;12m (https://github.com/ResidentMario/missingno) - provides flexible toolset of data-visualization utilities that allows quick visual summary of the completeness of your dataset, based on matplotlib.[39m
[38;5;12m- [39m[38;5;14m[1mplotly[0m[38;5;12m (https://plot.ly/python/) - Interactive web based visualization built on top of [39m[38;5;14m[1mplotly.js[0m[38;5;12m (https://github.com/plotly/plotly.js)[39m
[38;5;12m- [39m[38;5;14m[1mpptk[0m[38;5;12m (https://github.com/heremaps/pptk) - Visualize and work with 2D/3D pointclouds[39m
[38;5;12m- [39m[38;5;14m[1mPyQtGraph[0m[38;5;12m (https://www.pyqtgraph.org/) - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.[39m
[38;5;12m- [39m[38;5;14m[1mPyVista[0m[38;5;12m (https://github.com/pyvista/pyvista) – 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)[39m
[38;5;12m- [39m[38;5;14m[1mseaborn[0m[38;5;12m (https://seaborn.pydata.org/) - A library for making attractive and informative statistical graphics.[39m
[38;5;12m- [39m[38;5;14m[1mtoyplot[0m[38;5;12m (https://toyplot.readthedocs.io/en/stable/) - The kid-sized plotting toolkit for Python with grownup-sized goals.[39m
[38;5;12m- [39m[38;5;14m[1mthree.py[0m[38;5;12m (https://github.com/stemkoski/three.py/) - Easy to use 3D library based on PyOpenGL. Inspired by Three.js.[39m
[38;5;12m- [39m[38;5;14m[1mveusz[0m[38;5;12m (https://veusz.github.io/) - Python multiplatform GUI plotting tool and graphing library[39m
[38;5;12m- [39m[38;5;14m[1mVisPy[0m[38;5;12m (https://vispy.org/) - High-performance scientific visualization based on OpenGL.[39m
[38;5;12m- [39m[38;5;14m[1mvtk[0m[38;5;12m (https://www.vtk.org/) - 3D computer graphics, image processing, and visualization that includes a Python interface.[39m
[38;5;12m- [39m[38;5;14m[1mpandas-profiling[0m[38;5;12m (https://github.com/pandas-profiling/pandas-profiling) - generates statistical analytic reports with visualization for quick data analysis.[39m
[38;5;12m- [39m[38;5;14m[1mpyechars[0m[38;5;12m (https://github.com/pyecharts/pyecharts) - Python binding for Echarts library.[39m

[38;2;255;187;0m[4mR tools[0m
[38;5;12m- [39m[38;5;14m[1mggplot2[0m[38;5;12m (https://ggplot2.tidyverse.org/) - A plotting system based on the grammar of graphics.[39m
[38;5;12m- [39m[38;5;14m[1mggvis[0m[38;5;12m (https://ggvis.rstudio.com/) - A data visualization package with a syntax similar to ggplot2 which allows you to create rich interactive graphics.[39m
[38;5;12m- [39m[38;5;14m[1mlattice[0m[38;5;12m (https://lattice.r-forge.r-project.org) - trellis graphics for R[39m
[38;5;12m- [39m[38;5;14m[1mplotly[0m[38;5;12m (https://github.com/ropensci/plotly) - Interactive charts (including adding interactivity to ggplot2 output), cartograms and simple network diagrams[39m
[38;5;12m- [39m[38;5;14m[1mrbokeh[0m[38;5;12m (https://hafen.github.io/rbokeh/) - R Interface to Bokeh.[39m
[38;5;12m- [39m[38;5;14m[1mrgl[0m[38;5;12m (https://cran.r-project.org/web/packages/rgl/index.html) - 3D Visualization Using OpenGL[39m
[38;5;12m- [39m[38;5;14m[1mshiny[0m[38;5;12m (https://shiny.rstudio.com) - Framework for creating interactive applications/visualisations[39m
[38;5;12m- [39m[38;5;14m[1mvisNetwork[0m[38;5;12m (https://datastorm-open.github.io/visNetwork/) - Interactive network visualisations[39m

[38;2;255;187;0m[4mRuby tools[0m
[38;5;12m- [39m[38;5;14m[1mChartkick[0m[38;5;12m (https://github.com/ankane/chartkick) - Create charts with one line of Ruby.[39m

[38;2;255;187;0m[4mMarkup-based tools[0m
[38;5;12m- [39m[38;5;14m[1mmermaidjs[0m[38;5;12m (https://mermaidjs.github.io/mermaid-live-editor) - A simple markdown-like script language for generating charts from text via javascript[39m
[38;5;12m- [39m[38;5;14m[1mwavedrom.com[0m[38;5;12m (https://wavedrom.com/) - Draws your Timing Diagram or Waveform from simple textual description[39m

[38;2;255;187;0m[4mOther tools[0m
[38;5;12mTools that are not tied to a particular platform or language.[39m
[38;5;12m- [39m[38;5;14m[1mCharted[0m[38;5;12m (https://github.com/mikesall/charted) - A charting tool that produces automatic, shareable charts from any data file.[39m
[38;5;12m- [39m[38;5;14m[1mGephi[0m[38;5;12m (https://github.com/gephi/gephi) - An open-source platform for visualizing and manipulating large graphs[39m
[38;5;12m- [39m[38;5;14m[1mKepler.gl[0m[38;5;12m (https://kepler.gl/) - Geospatial analysis tool for large-scale data sets.[39m
[38;5;12m- [39m[38;5;14m[1mMermaid[0m[38;5;12m (https://github.com/knsv/mermaid) - A tool used to generate diagrams and flowcharts from text in a similar manner as markdown.[39m
[38;5;12m- [39m[38;5;14m[1mRAW[0m[38;5;12m (https://rawgraphs.io) - Create web visualizations from CSV or Excel files.[39m
[38;5;12m- [39m[38;5;14m[1mSpark[0m[38;5;12m (https://github.com/holman/spark) - Sparklines for the shell. It have several [39m[38;5;14m[1mimplementations in different languages[0m[38;5;12m (https://github.com/holman/spark/wiki/Alternative-Implementations).[39m
[38;5;12m- [39m[38;5;14m[1mVisual-Insights[0m[38;5;12m (https://github.com/ObservedObserver/visual-insights) - Automatic insights extraction and visualization specification in data analysis.[39m
[38;5;12m- [39m[38;5;14m[1mX6[0m[38;5;12m (https://x6.antv.vision/en) - diagram creation library for rapid construction of DAG diagrams, ER diagrams, flowcharts and other applications, maintained by Alibaba[39m
[38;5;12m- [39m[38;5;14m[1mGraphviz[0m[38;5;12m (https://graphviz.org/) - Open source graph visualization command line tool and library. From input text to SVG,PDF,interactive web graph browser. [39m

[38;5;12m                                                                                                                 [39m[38;2;255;187;0m[1m[4mResources[0m

[38;2;255;187;0m[4mBooks[0m
[38;5;12m- [39m[38;5;14m[1mDesign for Information[0m[38;5;12m (https://www.amazon.com/Design-Information-Introduction-Histories-Visualizations/dp/1592538061) by Isabel Meirelles.[39m
[38;5;12m- [39m[38;5;14m[1mThe Best American Infographics 2014[0m[38;5;12m (https://www.amazon.com/Best-American-Infographics-2014/dp/0547974515) by Gareth Cook.[39m
[38;5;12m- [39m[38;5;14m[1mThe Grammar of Graphics[0m[38;5;12m (https://www.amazon.com/Grammar-Graphics-Statistics-Computing/dp/0387245448/) by Leland Wilkinson. Basic visualization theory.[39m
[38;5;12m- [39m[38;5;14m[1mThe Visual Display of Quantitative Information[0m[38;5;12m (https://www.amazon.com/Visual-Display-Quantitative-Information/dp/0961392142) by Edward Tufte.[39m
[38;5;12m- [39m[38;5;14m[1mThe Wall Street Journal Guide to Information Graphics[0m[38;5;12m (https://www.amazon.com/Street-Journal-Guide-Information-Graphics/dp/0393347281) by Dona M. Wong[39m
[38;5;12m- [39m[38;5;14m[1mVisualization Analysis and Design[0m[38;5;12m (https://www.amazon.com/Visualization-Analysis-Design-AK-Peters/dp/1466508914) by Tamara Munzner.[39m
[38;5;12m- [39m[38;5;14m[1mInteractive Data Visualization for the Web[0m[38;5;12m (https://chimera.labs.oreilly.com/books/1230000000345) by Scott Murray. Available to read online. Focused on D3.[39m
[38;5;12m- [39m[38;5;14m[1mData Visualization Toolkit[0m[38;5;12m (https://datavisualizationtoolkit.com) by Barrett Austin Clark. Uses D3, Ruby on Rails, Postgres, PostGIS, & Leaflet.[39m
[38;5;12m- [39m[38;5;14m[1mData Visualisation: A Handbook for Data Driven Design[0m[38;5;12m (https://www.amazon.com/Data-Visualisation-Handbook-Driven-Design/dp/1526468921/) by Andy Kirk[39m

[38;2;255;187;0m[4mCatalogs[0m
[38;5;12m- [39m[38;5;14m[1mThe Data Visualization Catalogue[0m[38;5;12m (https://www.datavizcatalogue.com) - A collection of data visualization methods, with pros and cons.[39m
[38;5;12m- [39m[38;5;14m[1mData Viz Project[0m[38;5;12m (https://datavizproject.com)[39m
[38;5;12m- [39m[38;5;14m[1mThe R Graph Gallery[0m[38;5;12m (https://www.r-graph-gallery.com)[39m
[38;5;12m- [39m[38;5;14m[1mFrom data to Viz[0m[38;5;12m (https://www.data-to-viz.com)[39m
[38;5;12m- [39m[38;5;14m[1mChartopedia[0m[38;5;12m (https://www.anychart.com/chartopedia)[39m
[38;5;12m- [39m[38;5;14m[1mInteractive Chart Chooser[0m[38;5;12m (https://depictdatastudio.com/charts/) by Depict Data Studio[39m
[38;5;12m- Wikipedia[39m
[38;5;12m  - [39m[38;5;14m[1mData visualization techniques[0m[38;5;12m (https://en.wikipedia.org/wiki/Data_visualization#Techniques)[39m
[38;5;12m  - [39m[38;5;14m[1mList of graphical methods[0m[38;5;12m (https://en.wikipedia.org/wiki/List_of_graphical_methods)[39m
[38;5;12m  - [39m[38;5;14m[1mTypes of diagrams[0m[38;5;12m (https://en.wikipedia.org/wiki/Diagram#Gallery_of_diagram_types)[39m
[38;5;12m  - [39m[38;5;14m[1mTypes of plots[0m[38;5;12m (https://en.wikipedia.org/wiki/Plot_(graphics)#Types_of_plots)[39m
[38;5;12m  - [39m[38;5;14m[1mTypes of charts[0m[38;5;12m (https://en.wikipedia.org/wiki/Chart#Types)[39m

[38;2;255;187;0m[4mPodcasts[0m
[38;5;12m- [39m[38;5;14m[1mData Stories[0m[38;5;12m (https://datastori.es/)[39m
[38;5;12m- [39m[38;5;14m[1mDataFramed[0m[38;5;12m (https://www.datacamp.com/community/podcast)[39m
[38;5;12m- [39m[38;5;14m[1mData Viz Today[0m[38;5;12m (https://dataviztoday.com/)[39m

[38;2;255;187;0m[4mTwitter accounts[0m
[38;5;12m- [39m[38;5;14m[1mAlberto Cairo[0m[38;5;12m (https://twitter.com/albertocairo)[39m
[38;5;12m- [39m[38;5;14m[1mAndrei Kashcha[0m[38;5;12m (https://twitter.com/anvaka)[39m
[38;5;12m- [39m[38;5;14m[1mBenjamin Wiederkehr[0m[38;5;12m (https://twitter.com/datavis)[39m
[38;5;12m- [39m[38;5;14m[1mJan Žák[0m[38;5;12m (https://twitter.com/zakjan)[39m
[38;5;12m- [39m[38;5;14m[1mMara Averick[0m[38;5;12m (https://twitter.com/dataandme)[39m
[38;5;12m- [39m[38;5;14m[1mMartin Wattenberg[0m[38;5;12m (https://twitter.com/wattenberg)[39m
[38;5;12m- [39m[38;5;14m[1mMike Bostock[0m[38;5;12m (https://twitter.com/mbostock)[39m
[38;5;12m- [39m[38;5;14m[1mNadieh Bremer[0m[38;5;12m (https://twitter.com/NadiehBremer)[39m
[38;5;12m- [39m[38;5;14m[1mNYT Graphics[0m[38;5;12m (https://twitter.com/nytgraphics)[39m
[38;5;12m- [39m[38;5;14m[1mVisualizing[0m[38;5;12m (https://twitter.com/VisualizingOrg)[39m

[38;2;255;187;0m[4mWebsites[0m
[38;5;12m- [39m[38;5;14m[1mData For Visualization[0m[38;5;12m (https://dataforvisualization.com/) blog - Storytelling with data from the software developer's eye[39m
[38;5;12m- [39m[38;5;14m[1mAnn K. Emery[0m[38;5;12m (https://annkemery.com/)'s blog[39m
[38;5;12m- [39m[38;5;14m[1mData Visualization Society[0m[38;5;12m (https://www.datavisualizationsociety.com/) - The Data Visualization Society is an organization dedicated to fostering community for data visualization professionals.[39m
[38;5;12m- [39m[38;5;14m[1meagereyes[0m[38;5;12m (https://eagereyes.org/)[39m
[38;5;12m- [39m[38;5;14m[1mEvergreenData[0m[38;5;12m (https://stephanieevergreen.com/)[39m
[38;5;12m- [39m[38;5;14m[1mFlowingData[0m[38;5;12m (https://flowingdata.com/)[39m
[38;5;12m- [39m[38;5;14m[1mInformation is Beautiful[0m[38;5;12m (https://www.informationisbeautiful.net/)[39m
[38;5;12m- [39m[38;5;14m[1mJunk Charts[0m[38;5;12m (https://junkcharts.typepad.com/) - Kaiser Fung takes apart why certain datavizes work/don't work[39m
[38;5;12m- [39m[38;5;14m[1mLisa Rost thinks and discusses about why we dataviz[0m[38;5;12m (https://lisacharlotterost.github.io/)[39m
[38;5;12m- [39m[38;5;14m[1mMakeover Monday[0m[38;5;12m (https://www.makeovermonday.co.uk/) blog - [39m[38;5;14m[1m#MakeoverMonday[0m[38;5;12m (https://twitter.com/search?q=%23makeovermonday) on twitter[39m
[38;5;12m- [39m[38;5;14m[1mThe Open News[0m[38;5;12m (https://source.opennews.org/articles/) blog -  Open news has some good dataviz related articles from time to time[39m
[38;5;12m- [39m[38;5;14m[1mThe Pudding[0m[38;5;12m (https://pudding.cool/)[39m
[38;5;12m- [39m[38;5;14m[1mTruth & Beauty Operations[0m[38;5;12m (https://truth-and-beauty.net/)[39m
[38;5;12m- [39m[38;5;14m[1mUniversity of Washington Interactive Data Lab Papers[0m[38;5;12m (https://idl.cs.washington.edu/papers)[39m
[38;5;12m- [39m[38;5;14m[1mvis4.net[0m[38;5;12m (https://www.vis4.net/blog/) - Random thoughts on visualization and data journalism by Gregor Aisch[39m


[38;5;12m                                                                                                                [39m[38;2;255;187;0m[1m[4mContributing[0m

[38;5;12m- Please check for duplicates first.[39m
[38;5;12m- Keep descriptions short, simple and unbiased.[39m
[38;5;12m- Please make an individual commit for each suggestion[39m
[38;5;12m- Add a new category if needed.[39m

[38;5;12mThanks for your suggestions![39m


[38;5;12m                                                                                                                [39m[38;2;255;187;0m[1m[4mContributors[0m

[38;5;12m- Fabio Souto originally createad this repo, connect with Fabio at [39m[38;5;14m[1mfabiosouto.me[0m[38;5;12m (https://fabiosouto.me/).[39m
[38;5;12m- [39m[38;5;14m[1mJavier Luraschi[0m[38;5;12m (https://github.com/javierluraschi) is the current maintainer, he builds predictive visualizations at [39m[38;5;14m[1mHal9[0m[38;5;12m (https://hal9.com).[39m


[38;5;12m- - -[39m

[38;5;12mIf you have any question about this opinionated list, do not hesitate to contact me [39m[38;5;14m[1m@javierluraschi[0m[38;5;12m (https://twitter.com/javierluraschi) on Twitter or [39m[38;5;14m[1mopen a GitHub issue[0m[38;5;12m (https://github.com/javierluraschi/awesome-dataviz/issues/new).[39m
