A_curated_list_of_awesome_Jupyter_projects

# Awesome Jupyter [](https://awesome.re) 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. <h1 align="center" style="border-bottom: 0px;"> <br> <img width="400" src="https://raw.githubusercontent.com/adebar/awesome-jupyter/master/logo.png" alt="Jupyter logo"> <br> <br> </h1> <br> ## Contents - [Runtimes/Frontends](#runtimesfrontends) - [Collaboration/Education](#collaborationeducation) - [Visualization](#visualization) - [Rendering/Publishing/Conversion](#renderingpublishingconversion) - [JupyterLab Extensions](#jupyterlab-extensions) - [Testing](#testing) - [Domain-Specific Projects](#domain-specific-projects) - [Hosted Notebook Solutions](#hosted-notebook-solutions) - [Official Resources and Documentation](#official-resources-and-documentation) - [Community Resources](#community-resources) - [Articles/Guides/Tutorials](#articlesguidestutorials) - [Contributing](#contributing) --- ## Runtimes/Frontends - [Beaker](http://beakernotebook.com) - Development environment with seamless data transmission from one language to another. - [docker-stacks](https://github.com/jupyter/docker-stacks) - Hierarchical stacks of ready-to-run Jupyter applications in Docker. - [Hydrogen](https://github.com/nteract/hydrogen) - Run code inline in Atom using Jupyter kernels. - [Jupyter Notebook](https://github.com/jupyter/notebook) - Main Jupyter notebook runtime. - [JupyterHub](https://github.com/jupyterhub/jupyterhub) - Multi-user server for Jupyter. - [JupyterLab](https://github.com/jupyterlab/jupyterlab) - JupyterLab is the next generation user interface for Jupyter. - [ShopRunner/jupyter-notify](https://github.com/ShopRunner/jupyter-notify) - Cell magic for browser notification of cell completion. - [kaggle/docker-python](https://github.com/kaggle/docker-python) - Kaggle Python docker image that includes datasets and packages. - [nteract](https://github.com/nteract/nteract) - Native desktop notebook frontend. - [Rodeo](https://rodeo.yhat.com/) - Native Python IDE for Data Science. - [Stencila](https://github.com/stencila/stencila) - Native desktop notebook frontend. ## Collaboration/Education - [callgraph](https://github.com/osteele/callgraph) - Magic to display a function call graph. - [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-viewer-xblock](https://github.com/ibleducation/jupyter-viewer-xblock) - Fetch and display part of, or an entire Jupyter Notebook in an Open edX XBlock. - [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. - [LTI Launch JupyterHub Authenticator](https://github.com/jupyterhub/ltiauthenticator) - Authentication via Edx. - [nbautoeval](https://github.com/parmentelat/nbautoeval) - Create auto-evaluated exercises. - [nbgrader](https://github.com/jupyter/nbgrader) - Assigning and grading of Jupyter notebooks. - [nbtutor](https://github.com/lgpage/nbtutor) - Visualize Python code execution (line-by-line). ## Visualization - [Altair](https://github.com/altair-viz/altair) - Declarative visualization library for Python, based on [Vega](http://vega.github.io/vega) and [Vega-Lite](https://github.com/vega/vega-lite). - [Bokeh](https://bokeh.pydata.org/en/latest/) - Interactive visualization library that targets modern web browsers for presentation. - [bqplot](https://github.com/bloomberg/bqplot) - Grammar of Graphics-based interactive plotting framework for Jupyter. - [IPySigma](https://github.com/bsnacks000/IPySigma-Demo) - Prototype network visualization frontend for Jupyter notebooks. - [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) - Interactive visualization library for Leaflet.js maps in Jupyter notebooks. - [ipywidgets](https://github.com/jupyter-widgets/ipywidgets) - UI widgets for Jupyter. - [ipyvolume](https://github.com/maartenbreddels/ipyvolume) - 3D plotting for Python in Jupyter based on widgets and WebGL. - [itk-jupyter-widgets](https://github.com/InsightSoftwareConsortium/itk-jupyter-widgets) - Interactive widgets to visualize images in 2D and 3D. - [jupyter-gmaps](https://github.com/pbugnion/gmaps) - Interactive visualization library for Google Maps in Jupyter notebooks. - [mpld3](http://mpld3.github.io) - Combining Matplotlib and D3js vor interactive data visualizations. - [pyecharts](https://github.com/pyecharts/pyecharts) - Python interface for the [ECharts](https://github.com/apache/incubator-echarts) visualization library. - [pythreejs](https://github.com/jovyan/pythreejs) - Python / ThreeJS bridge utilizing the Jupyter widget infrastructure. - [Qgrid](https://github.com/quantopian/qgrid) - Interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks. ## Rendering/Publishing/Conversion - [Binder](http://mybinder.org) - Turn a GitHub repo into a collection of interactive notebooks. - [Bookbook](https://github.com/takluyver/bookbook) - Bookbook converts a set of notebooks in a directory to HTML or PDF, preserving cross references within and between notebooks. - [nbconvert](https://nbconvert.readthedocs.io) - Convert Notebooks to other formats. - [nbdime](https://github.com/jupyter/nbdime) - Tools for diffing and merging of Jupyter notebooks. - [nbinteract](https://www.nbinteract.com) - Create interactive webpages from Jupyter notebooks. - [nbflow](https://github.com/jhamrick/nbflow) - One-button reproducible workflows with Jupyter and Scons. - [nbscan](https://github.com/conery/nbscan) - Search for and print cells contents of Jupyter notebooks. - [Nikola](https://getnikola.com) - Static Site Generator that converts notebooks into websites. - [notedown](https://github.com/aaren/notedown/) - Convert Jupyter notebooks to markdown (and back). - [Papermill](https://github.com/nteract/papermill) - Tool for parameterizing, executing, and analyzing Jupyter notebooks. - [pynb](https://github.com/minodes/pynb) - Jupyter Notebooks as plain Python code with embedded Markdown text. - [RISE](https://github.com/damianavila/RISE) - Reveal.js Jupyter/IPython Slideshow. - [rst2ipynb](https://github.com/nthiery/rst-to-ipynb) - Convert standalone reStructuredText files to Jupyter notebook file. ## JupyterLab Extensions - [celltags](https://github.com/jupyterlab/jupyterlab-celltags) - Extension to organise and execute notebooks using cell tags. - [drawio](https://github.com/QuantStack/jupyterlab-drawio) - Extension that displays drawio/mxgraph diagrams. - [git](https://github.com/jupyterlab/jupyterlab-git) - Extension for git integration. - [go-to-definition](https://github.com/krassowski/jupyterlab-go-to-definition) - Extension for navigating to the definition of a variable or function in JupyterLab. - [google-drive](https://github.com/jupyterlab/jupyterlab-google-drive) - Extension for Google Drive integration. - [jupyterlab-kyso](https://github.com/kyso-io/jupyterlab-extension) - Extension to publish notebooks to the [Kyso](https://kyso.io) platform from Jupyterlab. - [latex](https://github.com/jupyterlab/jupyterlab-latex) - Extension for live editing of LaTeX documents. - [statusbar](https://github.com/jupyterlab/jupyterlab-statusbar) - Statusbar that displays various metrics/states of JupyterLab. - [toc](https://github.com/jupyterlab/jupyterlab-toc) - Extension that provides a table of contents for notebooks. - [variableinspector](https://github.com/lckr/jupyterlab-variableInspector) - Variable inspector extension that shows variables and their values. - [voyager](https://github.com/altair-viz/jupyterlab_voyager) - Extension to view CSV and JSON data in [Vo