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 Awesome Jupyter !Awesome (https://awesome.re/badge.svg) (https://awesome.re) !Hits 
(https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Fmarkusschanta%2Fawesome-jupyter&count_bg=%2379C83D&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=hit
 s&edge_flat=false) (https://hits.seeyoufarm.com)
 Awesome Jupyter !Awesome (https://awesome.re/badge.svg) (https://awesome.re) !Hits 
 (https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Fmarkusschanta%2Fawesome-jupyter&count_bg=%2379C83D&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=hits&edge_flat=false) 
 (https://hits.seeyoufarm.com)
A curated list of awesome Jupyter (http://jupyter.org) projects, libraries and resources. Jupyter is an open-source web application that allows you to create and share documents that contain 
live code, equations, visualizations and narrative text.
A curated list of awesome Jupyter (http://jupyter.org) projects, libraries and resources. Jupyter is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and 
narrative text.

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Contents
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- Articles/Guides/Tutorials (#articlesguidestutorials)
- Contributing (#contributing)
―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――
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Runtimes/Frontends
@@ -64,8 +64,7 @@
- ML Workspace (https://github.com/ml-tooling/ml-workspace) - Docker image that includes Jupyter(Lab) and various packages for data science/machine learning.
- nteract (https://github.com/nteract/nteract) - Native desktop notebook frontend. 
- Panel (https://github.com/holoviz/panel) - Notebooks as static files or interactive and standalone server-/client-side (via pyodide) apps.
- PaneLite (https://panelite.holoviz.org) - A distribution of JupyterLite (https://jupyterlite.readthedocs.io/en/latest/) that works with Panel (https://panel.holoviz.org) and the HoloViz 
(https://holoviz.org) ecosystem. 
- PaneLite (https://panelite.holoviz.org) - A distribution of JupyterLite (https://jupyterlite.readthedocs.io/en/latest/) that works with Panel (https://panel.holoviz.org) and the HoloViz (https://holoviz.org) ecosystem. 
- Stencila (https://github.com/stencila/stencila) - Native desktop notebook frontend.
- Visual Studio Code (https://code.visualstudio.com/docs/python/jupyter-support) - Native desktop notebook frontend.
- voila (https://github.com/voila-dashboards/voila) - Notebooks as interactive standalone web applications.
@@ -76,8 +75,7 @@
- IllumiDesk (https://github.com/IllumiDesk/illumidesk) - Docker-based JupyterHub + LTI + nbgrader distribution for education.
- IPythonBlocks (https://github.com/jiffyclub/ipythonblocks) - Practice Python with colored grids in Jupyter.
- jupyter-drive (https://github.com/jupyter/jupyter-drive) - Google drive for Jupyter.
- jupyter-edx-grader-xblock (https://github.com/ibleducation/jupyter-edx-grader-xblock) - Auto-grade a student assignment created as a Jupyter notebook and write the score in the Open edX 
gradebook.
- jupyter-edx-grader-xblock (https://github.com/ibleducation/jupyter-edx-grader-xblock) - Auto-grade a student assignment created as a Jupyter notebook and write the score in the Open edX gradebook.
- jupyter-viewer-xblock (https://github.com/ibleducation/jupyter-viewer-xblock) - Fetch and display part of, or an entire Jupyter Notebook in an Open edX XBlock.
- LTI Launch JupyterHub Authenticator (https://github.com/jupyterhub/ltiauthenticator) - Authentication via Edx.
- nbautoeval (https://github.com/parmentelat/nbautoeval) - Create auto-evaluated exercises.
@@ -142,8 +140,7 @@
- Kapitsa (https://github.com/gitjeff05/kapitsa) - CLI to search local Jupyter notebooks.
- Mercury (https://github.com/mljar/mercury) - Convert notebooks into web applications.
- nbconvert (https://nbconvert.readthedocs.io) - Convert notebooks to other formats.
- nbdev (https://github.com/fastai/nbdev) - Develop, package and distribute Python packages to PyPI using Jupyter as a Literate Programing (https://en.wikipedia.org/wiki/Literate_programming)
environment.
- nbdev (https://github.com/fastai/nbdev) - Develop, package and distribute Python packages to PyPI using Jupyter as a Literate Programing (https://en.wikipedia.org/wiki/Literate_programming) environment.
- nbflow (https://github.com/jhamrick/nbflow) - One-button reproducible workflows with Jupyter and Scons.
- nbinteract (https://www.nbinteract.com) - Create interactive webpages from Jupyter notebooks.
- nbscan (https://github.com/conery/nbscan) - Search for and print cells contents of Jupyter notebooks.
@@ -179,8 +176,7 @@
- jupyter-ai (https://github.com/jupyterlab/jupyter-ai) - Work with generative AIs (wide range of models supported) as a conversational assistant in JupyterLab.
- jupyter-fs (https://github.com/jpmorganchase/jupyter-fs) - A filesystem-like content manager for multiple backends in Jupyter.
- jupyter-notify (https://github.com/ShopRunner/jupyter-notify) - Cell magic for browser notification of cell completion. 
- jupyter-panel-proxy (https://github.com/holoviz/jupyter-panel-proxy) - Automatically serve notebooks as Panel (https://panel.holoviz.org) data apps at the /panel endpoint of your Jupyter 
server. 
- jupyter-panel-proxy (https://github.com/holoviz/jupyter-panel-proxy) - Automatically serve notebooks as Panel (https://panel.holoviz.org) data apps at the /panel endpoint of your Jupyter server. 
- jupyter-stack-trace (https://github.com/teticio/jupyter-stack-trace) - Click on the stack trace to open the respective file or a Google search.
- jupyterlab-executor (https://github.com/gavincyi/jupyterlab-executor) - Extension to execute scripts from the Jupyterlab file browser. 
- jupyterlab-kyso (https://github.com/kyso-io/jupyterlab-extension) - Extension to publish notebooks to the Kyso (https://kyso.io) platform from Jupyterlab. 
@@ -237,14 +233,12 @@
- Anaconda Enterprise (https://www.anaconda.com/enterprise/) - Multi-user collaboration and one-click deployment of models, notebooks, and dashboards.
- Azure Notebooks (https://notebooks.azure.com) - Jupyter notebooks running in the cloud on Microsoft Azure.
- CoCalc (https://cocalc.com) - Notebooks with 17 supported kernel types, course management, LaTeX document authoring, simultaneous document editing and integration with the SageMath computer
algebra system.
- CoCalc (https://cocalc.com) - Notebooks with 17 supported kernel types, course management, LaTeX document authoring, simultaneous document editing and integration with the SageMath computer algebra system.
- DataBlogs (https://www.datablogs.co/) - DataBlogs is an open-source data journalism platform that converts Jupyter notebooks into published articles on the web.
- DataCamp Workspace (https://www.datacamp.com/workspace) - Jupyter-backed data science notebooks with built-in collaboration and publishing functionality.
- Deepnote (https://www.deepnote.com) - Jupyter-compatible data science notebook with real-time collaboration, versioning and easy deployment.
- Domino Data Lab (https://www.dominodatalab.com) - Data science platform with integrated collaboration tools, environment management and compute grid.
- Google Cloud AI Platform Notebooks (https://cloud.google.com/ai-platform-notebooks) - Managed JupyterLab notebook instances configured with GPU-enabled machine learning frameworks on Google
Cloud Platform.
- Google Cloud AI Platform Notebooks (https://cloud.google.com/ai-platform-notebooks) - Managed JupyterLab notebook instances configured with GPU-enabled machine learning frameworks on Google Cloud Platform.
- Google Cloud Dataproc Jupyter component (https://cloud.google.com/dataproc/docs/concepts/components/jupyter) - Jupyter and JupyterLab for Apache Spark using Google Cloud Dataproc.
- Google Colaboratory (https://colab.research.google.com) - Cloud-based Jupyter environment aimed at machine learning education and research. 
- Kyso (https://kyso.io) - Data science platform to publish and share Jupyter notebooks as data blogs and web applications. 
@@ -269,12 +263,12 @@
- Conference Talks - PyVideo.org (http://pyvideo.org/search.html?q=jupyter), JupyterCon (https://www.youtube.com/playlist?list=PL055Epbe6d5aP6Ru42r7hk68GTSaclYgi)
- GitHub - Search: jupyter (https://github.com/search?type=Repositories&q=jupyter)
- GitHub - Topics: jupyter (https://github.com/topics/jupyter), jupyter-kernels (https://github.com/topics/jupyter-kernels), jupyter-notebook (https://github.com/topics/jupyter-notebook), 
jupyterhub (https://github.com/topics/jupyterhub), jupyterlab (https://github.com/topics/jupyterlab), jupyterlab-extension (https://github.com/topics/jupyterlab-extension)
- GitHub - Topics: jupyter (https://github.com/topics/jupyter), jupyter-kernels (https://github.com/topics/jupyter-kernels), jupyter-notebook (https://github.com/topics/jupyter-notebook), jupyterhub 
(https://github.com/topics/jupyterhub), jupyterlab (https://github.com/topics/jupyterlab), jupyterlab-extension (https://github.com/topics/jupyterlab-extension)
- Gitter - Jupyter Gitter Chatroom (https://gitter.im/jupyter/jupyter)
- jupyter-map (https://elc.github.io/jupyter-map/) - Map of university institutions that use Jupyter.
- kandi Kits Topic (https://kandi.openweaver.com/explore/jupyter) - Discover popular Jupyter libraries, top authors, trending project kits, discussions, tutorials & learning resources. 
- Mailing Lists - Jupyter General Mailing List (https://groups.google.com/forum/#!forum/jupyter), Jupyter in Education Mailing List (https://groups.google.com/forum/#!forum/jupyter-education)
- Mailing Lists - Jupyter General Mailing List (https://groups.google.com/forum/#!forum/jupyter), Jupyter in Education Mailing List (https://groups.google.com/forum/#!forum/jupyter-education) 
- PyPI - Framework :: Jupyter (https://pypi.org/search/?&c=Framework+%3A%3A+Jupyter)
is the PyPI trove classifier for Jupyter projects.
- Reddit - Subreddits: r/IPython (https://www.reddit.com/r/IPython/), r/Jupyter/ (https://www.reddit.com/r/Jupyter/)
@@ -284,23 +278,21 @@
Articles/Guides/Tutorials
- Exploratory computing with Python (http://mbakker7.github.io/exploratory_computing_with_python/) - Collection of notebooks covering scientific computing.
- How to Grow Neat Software Architecture out of Jupyter Notebooks (https://github.com/guillaume-chevalier/How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks) - Article and video 
(https://www.youtube.com/watch?v=K4QN27IKr0g) about growing a neat software architecture from notebooks.
- How to Grow Neat Software Architecture out of Jupyter Notebooks (https://github.com/guillaume-chevalier/How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks) - Article and video (https://www.youtube.com/watch?v=K4QN27IKr0g)
about growing a neat software architecture from notebooks.
- Install and run a Jupyter notebook in a Google Cloud Dataproc cluster (https://cloud.google.com/dataproc/docs/tutorials/jupyter-notebook)
- Interactive Web Plotting with Bokeh (https://github.com/bokeh/bokeh-notebooks)
- Jupyter Notebook Extensions (http://jupyter-contrib-nbextensions.readthedocs.io)
- Jupyter Notebook Themes (https://github.com/dunovank/jupyter-themes)
- Jupyter tips, tricks and shortcuts (https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/)
- JupyterLab - Your Personal Data Science Workbench (https://github.com/markusschanta/talks/tree/master/2018-03%20-%20JupyterLab%20-%20Full%20Stack%20Quants) - Talk about JupyterLab at Full 
Stack Quants London.
- JupyterLab - Your Personal Data Science Workbench (https://github.com/markusschanta/talks/tree/master/2018-03%20-%20JupyterLab%20-%20Full%20Stack%20Quants) - Talk about JupyterLab at Full Stack Quants London.
- Lectures on scientific computing with Python (https://github.com/jrjohansson/scientific-python-lectures)
- List of Jupyter notebooks (https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks)
- List of Jupyter notebooks II (https://github.com/jupyter-naas/awesome-notebooks)
- pytudes (https://github.com/norvig/pytudes) - List of Jupyter Notebooks by Peter Norvig.
- ResGuides: research with Jupyter (https://www.gitbook.com/book/dansand/resguides-research-with-jupyter/details)
- Sharing Jupyter Notebooks from localhost (https://pinggy.io/blog/share_jupyter_notebook_from_localhost/) - Sharing Jupyter Notebooks from localhost.
- The Littlest JupyterHub (https://the-littlest-jupyterhub.readthedocs.io/en/latest/) - JupyterHub distribution for 1-50 users on a single server; more lightweight than the Zero to JupyterHub
setup.
- The Littlest JupyterHub (https://the-littlest-jupyterhub.readthedocs.io/en/latest/) - JupyterHub distribution for 1-50 users on a single server; more lightweight than the Zero to JupyterHub setup.
- Zero to JupyterHub (http://zero-to-jupyterhub.readthedocs.io/en/latest/) - Tutorial to help install and manage JupyterHub.
Contributing