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--- visibility: public --- # Jupyter **repo:** [markusschanta/awesome-jupyter](https://github.com/markusschanta/awesome-jupyter) **category:** [[miscellaneous|Miscellaneous]] **related:** [[python|Python]] · [[data-science|Data Science]] --- # Awesome Jupyter [](https://awesome.re) [](http://hits.dwyl.com/markusschanta/awesome-jupyter) 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. <div align="center" style="border-bottom: 0px;"> <br> <img width="400" src="assets/logo.png" alt="Jupyter logo"> <br> <br> </div> --- <div align="center" style="border-bottom: 0px;"> <sub>Awesome Jupyter is proudly supported by our sponsor:</sub> <br> <br> <a href="https://deepnote.com/?utm_source=github&utm_medium=promo&utm_campaign=awesomejupyter"><img width="300" src="assets/deepnote.jpeg" alt="Deepnote logo"></a> <br> <br> <b>Deepnote is a collaborative data science notebook built for teams.</b> <div> <sub>Explore data with Python & SQL from your browser. Add context with data visualizations and rich text editing. Share your work by simply sending a link. <a href="https://deepnote.com/?utm_source=github&utm_medium=promo&utm_campaign=awesomejupyter">Check it out on the Deepnote free plan.</a></sub> </div> </div> --- ## Contents - [Runtimes/Frontends](#runtimesfrontends) - [Collaboration/Education](#collaborationeducation) - [Visualization](#visualization) - [Tables](#Tables) - [Rendering/Publishing/Conversion](#renderingpublishingconversion) - [Version Control](#version-control) - [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://beakerx.com/) - Development environment with seamless data transmission from one language to another. - [docker-stacks](https://github.com/jupyter/docker-stacks) - Hierarchical [stacks](/@harrisonqian/awesome/wiki/miscellaneous/stacks) of ready-to-run Jupyter applications in [Docker](/@harrisonqian/awesome/wiki/back-end-development/docker). - [Guild AI](https://my.guild.ai/docs/jupyter-notebook-experiments/) - Execute notebooks as experiments to capture and compare results over time. - [Hydrogen](https://github.com/nteract/hydrogen) - Run code inline in [Atom](/@harrisonqian/awesome/wiki/editors/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. - [JupyterLab Desktop](https://github.com/jupyterlab/jupyterlab-desktop) - A desktop application for JupyterLab, based on [Electron](/@harrisonqian/awesome/wiki/platforms/electron). - [JupyterWith](https://github.com/tweag/jupyterWith) - Nix-based framework for the definition of declarative and reproducible Jupyter environments. - [kaggle/docker-python](https://github.com/kaggle/docker-python) - Kaggle [Python](/@harrisonqian/awesome/wiki/programming-languages/python) [Docker](/@harrisonqian/awesome/wiki/back-end-development/docker) image that includes [datasets](/@harrisonqian/awesome/wiki/miscellaneous/datasets) and packages. - [ML Workspace](https://github.com/ml-tooling/ml-workspace) - [Docker](/@harrisonqian/awesome/wiki/back-end-development/docker) image that includes Jupyter(Lab) and various packages for [data science](/@harrisonqian/awesome/wiki/programming-languages/data-science)/machine [learning](/@harrisonqian/awesome/wiki/programming-languages/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](/@harrisonqian/awesome/wiki/platforms/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. - [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. ## Collaboration/Education - [callgraph](https://github.com/osteele/callgraph) - Magic to display a function call graph. - [IllumiDesk](https://github.com/IllumiDesk/illumidesk) - [Docker](/@harrisonqian/awesome/wiki/back-end-development/docker)-based JupyterHub + LTI + nbgrader distribution for [education](/@harrisonqian/awesome/wiki/back-end-development/education). - [ipygame](https://github.com/Kamuyin/ipygame) - A pygame-compatible reimplementation for Jupyter notebooks. - [IPythonBlocks](https://github.com/jiffyclub/ipythonblocks) - Practice [Python](/@harrisonqian/awesome/wiki/programming-languages/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-viewer-xblock](https://github.com/ibleducation/jupyter-viewer-xblock) - Fetch and display part of, or an entire Jupyter Notebook in an Open edX XBlock. - [jupyterquiz](https://github.com/jmshea/jupyterquiz) - An interactive quiz generator for Jupyter notebooks and Jupyter Book. - [LTI Launch JupyterHub Authenticator](https://github.com/jupyterhub/ltiauthenticator) - Authentication via Edx. - [nbautoeval](https://github.com/parmentelat/nbautoeval) - Create auto-evaluated exercises. - [nbgitpuller](https://github.com/jupyterhub/nbgitpuller) - Sync a Git repository one-way to a local path. - [nbgrader](https://github.com/jupyter/nbgrader) - Assigning and grading of Jupyter notebooks. - [nbtutor](https://github.com/lgpage/nbtutor) - Visualize [Python](/@harrisonqian/awesome/wiki/programming-languages/python) code execution (line-by-line). ## Visualization - [Altair](https://github.com/altair-viz/altair) - Declarative visualization library for [Python](/@harrisonqian/awesome/wiki/programming-languages/python), based on [Vega](http://vega.[github](/@harrisonqian/awesome/wiki/development-environment/github).io/vega) and [Vega-Lite](https://github.com/vega/vega-lite). - [anywidget](https://anywidget.dev) - A [Python](/@harrisonqian/awesome/wiki/programming-languages/python) library that simplifies creating and publishing custom Jupyter widgets. - [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. - [Evidently](https://github.com/evidentlyai/evidently) - Interactive reports to analyze [machine learning](/@harrisonqian/awesome/wiki/computer-science/machine-learning) models during validation or production monitoring. - [hvplot](https://hvplot.holoviz.org/) - A familiar and high-level API for data exploration and visualization in Jupyter. - [ipychart](https://github.com/nicohlr/ipychart) - Interactive Chart.js plots in Jupyter. - [ipycytoscape](https://github.com/cytoscape/ipycytoscape) - Widget for interactive graph visualization in Jupyter using cytoscape.js. - [ipydagred3](https://github.com/timkpaine/ipydagred3) - [ipywidgets](https://github.com/jupyter-widgets/ipywidgets) library for drawing directed acyclic graphs in jupyterlab using dagre-d3. - [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) - Interactive visualization library for Leaflet.js maps in Jupyter notebooks. - [IPySigma](https://github.com/bsnacks000/IPySigma-Demo) - Prototype network visualization frontend for Jupyter notebooks. - [ipytree](https://github.com/QuantStack/ipytree/) - Tree UI element for Jupyter. - [ipyvizzu](https://github.com/vizzuhq/ipyvizzu) - Animated data storytelling tool. - [ipyvolume](https://github.com/maartenbreddels/ipyvolume) - 3D plotting for [Python](/@harrisonqian/awesome/wiki/programming-languages/python) in Jupyter based on widgets and [WebGL](/@harrisonqian/awesome/wiki/front-end-development/webgl). - [ipywebrtc](https://github.com/maartenbreddels/ipywebrtc) - Video/Audio [streaming](/@harrisonqian/awesome/wiki/big-data/streaming) in Jupyter. - [ipywidgets](https://github.com/jupyter-widgets/ipywidgets) - UI widgets for Jupyter. - [itk-jupyter-widgets](https://github.com/InsightSoftwareConsortium/itk-jupyter-widgets) - Interactive widgets to visualize images in 2D and 3D. - [jp_doodle](https://github.com/AaronWatters/jp_doodle) - Infrastructure for building special purpose interactive diagrams in 2D and 3D. - [jupyter-gmaps](https://github.com/pbugnion/gmaps) - Interactive visualization library for Google Maps in Jupyter notebooks. - [jupyter-manim](https://github.com/krassowski/jupyter-manim) - Display [manim](https://github.com/3b1b/manim) (Mathematical Animation Engine) videos or GIFs in Jupyter notebooks. - [lux](https://github.com/lux-org/lux) - Recommends a set of visualizations whenever a dataframe is printed in a notebook. - [mpld3](http://mpld3.[github](/@harrisonqian/awesome/wiki/development-environment/github).io) - Combining Matplotlib and D3js for interactive data visualizations. - [pd-replicator](https://github.com/scwilkinson/pd-replicator) - Copy a Pandas DataFrame to the clipboard with one click. - [Perspective](https://github.com/finos/perspective) - [Data visualization](/@harrisonqian/awesome/wiki/miscellaneous/data-visualization) and [analytics](/@harrisonqian/awesome/wiki/miscellaneous/analytics) component, especially for large/[streaming](/@harrisonqian/awesome/wiki/big-data/streaming) [datasets](/@harrisonqian/awesome/wiki/miscellaneous/datasets). - [pyecharts](https://github.com/pyecharts/pyecharts) - [Python](/@harrisonqian/awesome/wiki/programming-languages/python) interface for the [ECharts](https://github.com/apache/incubator-echarts) visualization library. - [pythreejs](https://github.com/jovyan/pythreejs) - [Python](/@harrisonqian/awesome/wiki/programming-languages/python) / ThreeJS bridge utilizing the Jupyter widget infrastructure. - [tqdm](https://github.com/tqdm/tqdm) - Fast, extensible progress bar for loops and iterables. - [tributary](https://github.com/timkpaine/tributary) - [Python](/@harrisonqian/awesome/wiki/programming-languages/python) data streams with Jupyter support. - [xleaflet](https://github.com/QuantStack/xleaflet) - C++ Backend for ipyleaflet. - [xwebrtc](https://github.com/QuantStack/xwebrtc) - C++ Backend for ipywebrtc. - [xwidgets](https://github.com/QuantStack/xwidgets) - C++ Backend for ipywidgets. ## Tables - [buckaroo](https://github.com/paddymul/buckaroo) - GUI Data Wrangling tool for Jupyter and pandas. - [ipyaggrid](https://github.com/widgetti/ipyaggrid) - The power of ag-Grid in Jupyter. - [ipydatagrid](https://github.com/bloomberg/ipydatagrid) - Fast datagrid widget for Jupyter. - [ipyregulartable](https://github.com/jpmorganchase/ipyregulartable) - High performance, editable, stylable datagrids in Jupyter. - [ipysheet](https://github.com/QuantStack/ipysheet/) - Interactive spreadsheets in Jupyter. - [ITables](https://github.com/mwouts/itables) - Pandas and Polars DataFrames rendered as interactive [datatables-net](https://datatables.net/) tables. - [Qgrid](https://github.com/quantopian/qgrid) - Interactive grid for sorting, filtering, and editing DataFrames in Jupyter. ## Rendering/Publishing/Conversion - [Binder](http://mybinder.org) - Turn a [GitHub](/@harrisonqian/awesome/wiki/development-environment/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. - [ContainDS Dashboards](https://github.com/ideonate/cdsdashboards) - JupyterHub extension to host authenticated scripts or notebooks in any framework (Voilà, Streamlit, Plotly [Dash](/@harrisonqian/awesome/wiki/back-end-development/dash) etc). - [Ganimede](https://github.com/manugraj/ganimede) - Store, version, edit and execute notebooks in sandboxes and integrate them directly via [REST](/@harrisonqian/awesome/wiki/miscellaneous/rest) interfaces. - [Jupyter Book](https://github.com/executablebooks/jupyter-book) - Build publication-quality books and documents from computational material. - [jupyterlab_nbconvert_nocode](https://github.com/timkpaine/jupyterlab_nbconvert_nocode) - NBConvert exporters for PDF/HTML export without code cells. - [Jupytext](https://github.com/mwouts/jupytext) - Convert and synchronize notebooks with text formats (e.g. [Python](/@harrisonqian/awesome/wiki/programming-languages/python) or [Markdown](/@harrisonqian/awesome/wiki/miscellaneous/markdown) files) that work well under version control. - [jut](https://github.com/kracekumar/jut) - CLI to nicely display notebooks in the terminal. - [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](/@harrisonqian/awesome/wiki/programming-languages/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. - [Nikola](https://getnikola.com) - Static Site Generator that converts notebooks into websites. - [notedown](https://github.com/aaren/notedown/) - Convert Jupyter notebooks to [markdown](/@harrisonqian/awesome/wiki/miscellaneous/markdown) (and back). - [Papermill](https://github.com/nteract/papermill) - Tool for parameterizing, executing, and analyzing Jupyter notebooks. - [Ploomber](https://github.com/ploomber/ploomber) - Run a collection of notebooks and scripts in a reproducible manner using a `pipeline.yaml` file. - [pynb](https://github.com/minodes/pynb) - Jupyter Notebooks as plain [Python](/@harrisonqian/awesome/wiki/programming-languages/python) code with embedded [Markdown](/@harrisonqian/awesome/wiki/miscellaneous/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. - [Voila](https://github.com/QuantStack/voila) - Rendering of live Jupyter Notebooks with interactive widgets, allowing dashboarding based on Jupyter Notebooks. ## Version Control - [databooks](https://github.com/datarootsio/databooks) - A command-line utility that eases versioning and sharing of notebooks. - [jupyter-nbrequirements](https://github.com/thoth-station/jupyter-nbrequirements/) - Dependency management and optimization in Jupyter Notebooks. - [jupyterlab-git](https://github.com/jupyterlab/jupyterlab-git) - Extension for Git [integration](/@harrisonqian/awesome/wiki/platforms/integration). - [nbdime](https://github.com/jupyter/nbdime) - Tools for diffing and merging of Jupyter notebooks. - [nbQA](https://github.com/nbQA-dev/nbQA) - Run any standard [Python](/@harrisonqian/awesome/wiki/programming-languages/python) code quality tool on a Jupyter Notebook, from the command-line or via pre-commit. - [Neptune](https://docs.neptune.ai/integrations-and-supported-tools/ide-and-notebooks/jupyter-lab-and-jupyter-notebook) - Version, manage and share notebook checkpoints in your projects. - [ReviewNB](https://www.reviewnb.com/) - Code reviews for Jupyter Notebooks. ## JupyterLab Extensions - [amphi-etl](https://github.com/amphi-ai/amphi-etl) - Low-code ETL extension for Jupyterlab. - [celltags](https://github.com/jupyterlab/jupyterlab-celltags) - Extension to organise and execute notebooks using cell tags. - [code_formatter](https://github.com/ryantam626/jupyterlab_code_formatter) - A universal code formatter. - [debugger](https://github.com/jupyterlab/debugger) - A visual debugger for Jupyter notebooks, consoles, and source files. - [drawio](https://github.com/QuantStack/jupyterlab-drawio) - Extension that displays drawio/mxgraph diagrams. - [elyra](https://github.com/elyra-ai/elyra) - A visual editor for creating and running notebook (or [Python](/@harrisonqian/awesome/wiki/programming-languages/python) script) pipelines locally or remotely. - [genv](https://github.com/run-ai/jupyterlab_genv) - Extension for managing GPU environments in JupyterLab. - [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](/@harrisonqian/awesome/wiki/platforms/integration). - [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](/@harrisonqian/awesome/wiki/platforms/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. - [jupyterlab-notifications](https://github.com/mwakaba2/jupyterlab-notifications) - Customizable notebook cell completion browser notifications for JupyterLab. - [jupyterlab-tensorboard-pro](https://github.com/HFAiLab/jupyterlab_tensorboard_pro) - TensorBoard support for JupyterLab. - [jupyterlab_autoversion](https://github.com/timkpaine/jupyterlab_autoversion) - Automatically version notebooks in JupyterLab. - [jupyterlab_commands](https://github.com/timkpaine/jupyterlab_commands) - Add arbitrary [python](/@harrisonqian/awesome/wiki/programming-languages/python) commands to the JupyterLab command palette. - [jupyterlab_email](https://github.com/timkpaine/jupyterlab_email) - Email notebooks and their content from within JupyterLab. - [jupyterlab_iframe](https://github.com/timkpaine/jupyterlab_iframe) - View HTML as an embedded iframe in JupyterLab. - [jupyterlab_miami_nights](https://github.com/timkpaine/jupyterlab_miami_nights) - Combination of VS Code's SynthWave '84 and JupyterLab's [Neon](/@harrisonqian/awesome/wiki/databases/neon) Night themes. - [jupyterlab_templates](https://github.com/jpmorganchase/jupyterlab_templates) - Notebook templates in JupyterLab. - [latex](https://github.com/jupyterlab/jupyterlab-latex) - Extension for live editing of [LaTeX](/@harrisonqian/awesome/wiki/miscellaneous/latex) documents. - [lineapy](https://github.com/LineaLabs/lineapy) - Extension for transforming messy Jupyter notebooks to production-ready pipelines with two lines of code. - [lsp](https://github.com/krassowski/jupyterlab-lsp) - IDE-like features (code navigation, hover suggestions, linters, diagnostics, kernel-[less](/@harrisonqian/awesome/wiki/front-end-development/less) autocompletion etc.) - [nb_black](https://github.com/dnanhkhoa/nb_black) - Extension to keep [Python](/@harrisonqian/awesome/wiki/programming-languages/python) code automatically formatted using [black](https://github.com/psf/black). - [python-bytecode](https://github.com/jtpio/jupyterlab-[python](/@harrisonqian/awesome/wiki/programming-languages/python)-bytecode) - Explore CPython Bytecode in JupyterLab. - [quickopen](https://github.com/parente/jupyterlab-quickopen) - Quickly open a file in JupyterLab by [typing](/@harrisonqian/awesome/wiki/programming-languages/typing) part of its name. - [shortcutui](https://github.com/jupyterlab/jupyterlab-shortcutui) - An extension for managing keyboard shortcuts. - [sidecar](https://github.com/jupyter-widgets/jupyterlab-sidecar) - A sidecar output widget for JupyterLab. - [sql](https://github.com/pbugnion/jupyterlab-sql) - SQL GUI for JupyterLab. - [stickyland](https://github.com/xiaohk/stickyland) - Break the linear presentation of notebooks with sticky cells. - [system-monitor](https://github.com/jtpio/jupyterlab-system-monitor) - Extension to display system metrics. - [tabnine](https://github.com/codota/tabnine-jupyterlab) - Tabnine AI auto completer extension. - [theme-darcula](https://github.com/telamonian/theme-darcula) - A handsome Darcula theme for Jupyterlab. - [toc](https://github.com/jupyterlab/jupyterlab-toc) - Extension that provides a table of contents for notebooks. - [topbar](https://github.com/jtpio/jupyterlab-topbar) - Top Bar extension for JupyterLab. - [variableinspector](https://github.com/lckr/jupyterlab-variableInspector) - Variable inspector extension that shows variables and their values. - [vim](https://github.com/jwkvam/jupyterlab-vim) - Vim notebook cell bindings. - [voyager](https://github.com/altair-viz/jupyterlab_voyager) - Extension to view CSV and [JSON](/@harrisonqian/awesome/wiki/miscellaneous/json) data in [Voyager](http://vega.[github](/@harrisonqian/awesome/wiki/development-environment/github).io/voyager/). ## Testing - [ipytest](https://github.com/chmp/ipytest) - Test runner for running unit tests from within a notebook. - [nbcelltests](https://github.com/jpmorganchase/nbcelltests) - Cell-by-cell [testing](/@harrisonqian/awesome/wiki/testing/testing) for notebooks in Jupyter. - [nbval](https://github.com/computationalmodelling/nbval) - Py.test plugin for validating Jupyter notebooks. - [nosebook](https://github.com/bollwyvl/nosebook) - Nose plugin for finding and running IPython notebooks as nose tests. - [pointblank](https://github.com/posit-dev/pointblank) - Notebook-friendly [testing](/@harrisonqian/awesome/wiki/testing/testing) of DataFrames and [database](/@harrisonqian/awesome/wiki/databases/database) tables for data quality purposes. - [sphinxcontrib-jupyter](https://github.com/QuantEcon/sphinxcontrib-jupyter) - Sphinx extension for generating Jupyter notebooks. - [treebeard](https://github.com/treebeardtech/treebeard) - [GitHub](/@harrisonqian/awesome/wiki/development-environment/github) Action for [testing](/@harrisonqian/awesome/wiki/testing/testing)/scheduling Jupyter notebooks. - [treon](https://github.com/ReviewNB/treon) - Easy-to-use test framework for Jupyter Notebooks. ## Domain-Specific Projects - [ArcGIS](https://developers.arcgis.com/python/) - Library for working with maps and geospatial data, powered by web GIS. - [GenePattern Notebook](http://genepattern-notebook.org) - Integrating Genomic Analysis with Interactive Notebooks. - [GeoNotebook](https://github.com/OpenGeoscience/geonotebook) - Extension for exploratory geospatial analysis. - [Jupylet](https://github.com/nir/jupylet) - Create 2D and 3D games, graphics, live [music](/@harrisonqian/awesome/wiki/media/music) and sound interactively in a Jupyter notebook. - [keplergl](https://docs.kepler.gl/docs/keplergl-jupyter) - Jupyter extension for visual exploration of large-scale geolocation data sets. - [lolviz](https://github.com/parrt/lolviz) - Data-structure visualization tool for lists of lists, lists, dictionaries. - [Quantopian Notebooks](https://www.quantopian.com/notebooks/survey) - Jupyter-based platform for financial research. - [vpython-jupyter](https://github.com/BruceSherwood/vpython-jupyter) - VPython 3D engine running in a Jupyter notebook. - [xontrib-jupyter](https://github.com/xonsh/xontrib-jupyter) - Jupyter kernel for xonsh, a [Python](/@harrisonqian/awesome/wiki/programming-languages/python)-powered, [cross-platform](/@harrisonqian/awesome/wiki/platforms/cross-platform), Unix-gazing [shell](/@harrisonqian/awesome/wiki/development-environment/shell) language. ## Hosted Notebook Solutions - [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](/@harrisonqian/awesome/wiki/miscellaneous/latex) document authoring, simultaneous document editing and [integration](/@harrisonqian/awesome/wiki/platforms/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](/@harrisonqian/awesome/wiki/programming-languages/data-science) notebooks with built-in collaboration and publishing functionality. - [Datalore](https://www.jetbrains.com/datalore) - Jupyter-compatible [data science](/@harrisonqian/awesome/wiki/programming-languages/data-science) and [analytics](/@harrisonqian/awesome/wiki/miscellaneous/analytics) notebook solution for team collaboration by JetBrains. - [Deepnote](https://www.deepnote.com) - Jupyter-compatible [data science](/@harrisonqian/awesome/wiki/programming-languages/data-science) notebook with real-time collaboration, versioning and easy deployment. - [Domino Data Lab](https://www.dominodatalab.com) - [Data science](/@harrisonqian/awesome/wiki/programming-languages/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](/@harrisonqian/awesome/wiki/computer-science/machine-learning) [frameworks](/@harrisonqian/awesome/wiki/front-end-development/frameworks) on [Google Cloud](/@harrisonqian/awesome/wiki/platforms/google-cloud) Platform. - [Google Cloud Dataproc Jupyter component](https://cloud.google.com/dataproc/docs/concepts/components/jupyter) - Jupyter and JupyterLab for [Apache Spark](/@harrisonqian/awesome/wiki/big-data/apache-spark) using [Google Cloud](/@harrisonqian/awesome/wiki/platforms/google-cloud) Dataproc. - [Google Colaboratory](https://colab.research.google.com) - Cloud-based Jupyter environment aimed at [machine learning](/@harrisonqian/awesome/wiki/computer-science/machine-learning) [education](/@harrisonqian/awesome/wiki/back-end-development/education) and research. - [Kyso](https://kyso.io) - [Data science](/@harrisonqian/awesome/wiki/programming-languages/data-science) platform to publish and share Jupyter notebooks as data blogs and web applications. - [Mineo.app](https://mineo.app) - Data Ops platform with Jupyter-compatible notebooks, no code blocks, and support for creating dashboards. - [Naas](https://naas.ai) - JupyterLab environment with magic scheduling/notification functionality and assets/dependency/secrets management. - [Noteable](https://noteable.io/) - Noteable is a collaborative notebook to combine code (SQL, [Python](/@harrisonqian/awesome/wiki/programming-languages/python) & R) and interactive visualizations. - [Paperspace Gradient](https://gradient.run/) - A Jupyter-backed [data science](/@harrisonqian/awesome/wiki/programming-languages/data-science) IDE with accelerated hardware (GPUs) and MLOps functionality. - [PAWS](https://wikitech.wikimedia.org/wiki/PAWS) - Jupyter notebook deployment customized for interacting with Wikimedia wikis. - [Pinggy](https://pinggy.io) - Create a tunnel to your Jupyter instance even if it is behind a firewall or NAT. - [qBraid Lab](https://docs.qbraid.com/en/latest/lab/getting_started.html) - JupyterLab deployment providing curated software tools and integrations for [quantum computing](/@harrisonqian/awesome/wiki/computer-science/quantum-computing). - [Saturn Cloud](https://saturncloud.io/) - [Move](/@harrisonqian/awesome/wiki/programming-languages/move) your [data science](/@harrisonqian/awesome/wiki/programming-languages/data-science) team into the cloud without having to switch tools. ## Official Resources and Documentation - [Jupyter documentation](https://docs.jupyter.org/en/latest/index.html) - [Jupyter kernels](https://github.com/jupyter/jupyter/wiki/Jupyter-kernels) - List of all programming languages available as Jupyter kernels. - [JupyterLab documentation](http://jupyterlab.readthedocs.io/en/stable/index.html) - [Making kernels for Jupyter](https://jupyter-client.readthedocs.io/en/latest/kernels.html) - [Try Jupyter](https://try.jupyter.org) - Try Jupyter in your browser. ## Community Resources - Conference [Talks](/@harrisonqian/awesome/wiki/theory/talks) - [PyVideo.org](http://pyvideo.org/search.html?q=jupyter), [JupyterCon](https://www.youtube.com/playlist?list=PL055Epbe6d5aP6Ru42r7hk68GTSaclYgi) - [GitHub](/@harrisonqian/awesome/wiki/development-environment/github) - Search: [Jupyter](https://github.com/search?type=Repositories&q=jupyter) - [GitHub](/@harrisonqian/awesome/wiki/development-environment/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](/@harrisonqian/awesome/wiki/development-environment/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](/@harrisonqian/awesome/wiki/computer-science/tutorials) & [learning](/@harrisonqian/awesome/wiki/programming-languages/learning) resources. - Mailing Lists - [Jupyter General Mailing List](https://groups.google.com/forum/#!forum/jupyter), [Jupyter in [Education](/@harrisonqian/awesome/wiki/back-end-development/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/) - Stack Overflow - Tags: [Jupyter](https://stackoverflow.com/questions/tagged/jupyter), [jupyter-notebook](https://stackoverflow.com/questions/tagged/jupyter-notebook) ## Articles/Guides/Tutorials - [Exploratory computing with Python](http://mbakker7.[github](/@harrisonqian/awesome/wiki/development-environment/github).io/exploratory_computing_with_python/) - Collection of notebooks covering [scientific computing](/@harrisonqian/awesome/wiki/miscellaneous/scientific-computing). - [How to Grow Neat [Software Architecture](/@harrisonqian/awesome/wiki/miscellaneous/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](/@harrisonqian/awesome/wiki/miscellaneous/software-architecture) from notebooks. - [Install and run a Jupyter notebook in a [Google Cloud](/@harrisonqian/awesome/wiki/platforms/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](/@harrisonqian/awesome/wiki/programming-languages/tips), tricks and shortcuts](https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/) - [JupyterLab - Your Personal [Data Science](/@harrisonqian/awesome/wiki/programming-languages/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](/@harrisonqian/awesome/wiki/miscellaneous/scientific-computing) with Python](https://github.com/jrjohansson/scientific-[python](/@harrisonqian/awesome/wiki/programming-languages/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. - [Zero to JupyterHub](http://zero-to-jupyterhub.readthedocs.io/en/latest/) - Tutorial to help install and manage JupyterHub. ## Contributing Your contributions are always welcome! Please take a look at the [contribution guidelines](CONTRIBUTING.md) first.