├── .gitignore ├── logo.png ├── CONTRIBUTING.md ├── Awesome-ish.md ├── README.md └── LICENSE.txt /.gitignore: -------------------------------------------------------------------------------- 1 | .ipynb_checkpoints 2 | -------------------------------------------------------------------------------- /logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DataXujing/awesome-jupyter/master/logo.png -------------------------------------------------------------------------------- /CONTRIBUTING.md: -------------------------------------------------------------------------------- 1 | # Contribution Guidelines 2 | 3 | ## Adding to this list 4 | 5 | Please ensure your pull request adheres to the following guidelines: 6 | 7 | * Search previous suggestions before making a new one, as yours may be a duplicate. 8 | * Make sure the project is useful before submitting. 9 | * Make an individual pull request for each suggestion. 10 | * Use title-casing (AP style). 11 | * Use the following format: `[Project Name](Link)` 12 | * Link additions should be added to the correct alphabetical position of the relevant category. 13 | * New categories or improvements to the existing categorization are welcome. 14 | * Check your spelling and grammar. 15 | * Make sure your text editor is set to remove trailing whitespace. 16 | * The pull request and commit should have a useful title. 17 | * The body of your commit message should contain a link to the repository. 18 | 19 | Thank you for your suggestions! 20 | -------------------------------------------------------------------------------- /Awesome-ish.md: -------------------------------------------------------------------------------- 1 | # Awesome-ish 2 | 3 | This file contains a list of resources that were suggested but didn't quite make the cut. If you feel that one of these should be included, please [open an issue](https://github.com/markusschanta/awesome-jupyter/issues/new) and explain why you think so. Thanks! 4 | 5 | * [The World of Jupyter — a Tutorial](https://github.com/barbagroup/jupyter-tutorial) 6 | * A bit dated 7 | * [IPython](http://ipython.org/) is an ancestor of Jupyter project, and now it's a Python kernel for Jupyter. 8 | * Probably not worth including just for historical reasons; no individual kernels 9 | * [Jupyter Notebook cheatsheet](https://www.cheatography.com/weidadeyue/cheat-sheets/jupyter-notebook/) 10 | * Obsolete with the Commands tab in JupyterLab 11 | * [Jupyter Notebook on Azure](https://docs.microsoft.com/en-us/azure/virtual-machines/virtual-machines-linux-jupyter-notebook) 12 | * Article does not seem to exist anymore, page redirects 13 | * [Jupyter Notebook on FullStackPython](https://www.fullstackpython.com/jupyter-notebook.html) 14 | * Most of the resources on this list are mentioned here anyway 15 | * [NBViewer](https://nbviewer.jupyter.org/) can render your public notebook from GitHub repo or any URL. 16 | * GitHub can render notebooks out-of-the box. This probably makes NBViewer obsolete. Please correct me if that's not the case. 17 | * [Using the IPython Notebook as a Teaching Tool](https://software-carpentry.org/blog/2013/03/using-notebook-as-a-teaching-tool.html) 18 | * A bit dated; not all that useful. 19 | * [nbTranslate](https://github.com/jfbercher/jupyter_nbTranslate) - translate cells of a notebook from one language to another - Adds multi language support. 20 | * not sure if useful; feel free to suggest to include this 21 | * [nbtranslate](https://github.com/devrt/nbtranslate) - translate content of Jupyter notebook using gettext tools. 22 | * not sure if useful; feel free to suggest to include this 23 | * [https://github.com/taavi/ipython_nose] 24 | * not sure if useful; feel free to suggest to include this 25 | * [runipy](https://pypi.python.org/pypi/runipy) 26 | * deprecated, use [Jupyter's execute API instead](http://nbconvert.readthedocs.io/en/latest/execute_api.html) 27 | * [ipynb](https://github.com/ipython/ipynb) - Package / Module importer for importing code from Jupyter Notebook files (.ipynb) 28 | * Looks like an anti-pattern, porting code to a library seems preferable 29 | * [pypi Jupyter](https://pypi.org/search/?q=Jupyter) - Packages on pypi that match the search term "Jupyter" 30 | * not a particularly useful way to discover Jupyter packages -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Awesome Jupyter [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) 2 | 3 | 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. 4 | 5 |

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7 | Jupyter logo 8 |
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12 | 13 | ## Contents 14 | 15 | - [Runtimes/Frontends](#runtimesfrontends) 16 | - [Collaboration/Education](#collaborationeducation) 17 | - [Visualization](#visualization) 18 | - [Rendering/Publishing/Conversion](#renderingpublishingconversion) 19 | - [JupyterLab Extensions](#jupyterlab-extensions) 20 | - [Testing](#testing) 21 | - [Domain-Specific Projects](#domain-specific-projects) 22 | - [Hosted Notebook Solutions](#hosted-notebook-solutions) 23 | - [Official Resources and Documentation](#official-resources-and-documentation) 24 | - [Community Resources](#community-resources) 25 | - [Articles/Guides/Tutorials](#articlesguidestutorials) 26 | - [Contributing](#contributing) 27 | 28 | --- 29 | 30 | ## Runtimes/Frontends 31 | 32 | - [Beaker](http://beakernotebook.com) - Development environment with seamless data transmission from one language to another. 33 | - [docker-stacks](https://github.com/jupyter/docker-stacks) - Hierarchical stacks of ready-to-run Jupyter applications in Docker. 34 | - [Hydrogen](https://github.com/nteract/hydrogen) - Run code inline in Atom using Jupyter kernels. 35 | - [Jupyter Notebook](https://github.com/jupyter/notebook) - Main Jupyter notebook runtime. 36 | - [JupyterHub](https://github.com/jupyterhub/jupyterhub) - Multi-user server for Jupyter. 37 | - [JupyterLab](https://github.com/jupyterlab/jupyterlab) - JupyterLab is the next generation user interface for Jupyter. 38 | - [ShopRunner/jupyter-notify](https://github.com/ShopRunner/jupyter-notify) - Cell magic for browser notification of cell completion. 39 | - [kaggle/docker-python](https://github.com/kaggle/docker-python) - Kaggle Python docker image that includes datasets and packages. 40 | - [nteract](https://github.com/nteract/nteract) - Native desktop notebook frontend. 41 | - [Rodeo](https://rodeo.yhat.com/) - Native Python IDE for Data Science. 42 | - [Stencila](https://github.com/stencila/stencila) - Native desktop notebook frontend. 43 | 44 | ## Collaboration/Education 45 | 46 | - [callgraph](https://github.com/osteele/callgraph) - Magic to display a function call graph. 47 | - [IPythonBlocks](https://github.com/jiffyclub/ipythonblocks) - Practice Python with colored grids in Jupyter. 48 | - [jupyter-drive](https://github.com/jupyter/jupyter-drive) - Google drive for Jupyter. 49 | - [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. 50 | - [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. 51 | - [LTI Launch JupyterHub Authenticator](https://github.com/jupyterhub/ltiauthenticator) - Authentication via Edx. 52 | - [nbautoeval](https://github.com/parmentelat/nbautoeval) - Create auto-evaluated exercises. 53 | - [nbgrader](https://github.com/jupyter/nbgrader) - Assigning and grading of Jupyter notebooks. 54 | - [nbtutor](https://github.com/lgpage/nbtutor) - Visualize Python code execution (line-by-line). 55 | 56 | ## Visualization 57 | 58 | - [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). 59 | - [Bokeh](https://bokeh.pydata.org/en/latest/) - Interactive visualization library that targets modern web browsers for presentation. 60 | - [bqplot](https://github.com/bloomberg/bqplot) - Grammar of Graphics-based interactive plotting framework for Jupyter. 61 | - [IPySigma](https://github.com/bsnacks000/IPySigma-Demo) - Prototype network visualization frontend for Jupyter notebooks. 62 | - [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) - Interactive visualization library for Leaflet.js maps in Jupyter notebooks. 63 | - [ipywidgets](https://github.com/jupyter-widgets/ipywidgets) - UI widgets for Jupyter. 64 | - [ipyvolume](https://github.com/maartenbreddels/ipyvolume) - 3D plotting for Python in Jupyter based on widgets and WebGL. 65 | - [itk-jupyter-widgets](https://github.com/InsightSoftwareConsortium/itk-jupyter-widgets) - Interactive widgets to visualize images in 2D and 3D. 66 | - [jupyter-gmaps](https://github.com/pbugnion/gmaps) - Interactive visualization library for Google Maps in Jupyter notebooks. 67 | - [mpld3](http://mpld3.github.io) - Combining Matplotlib and D3js vor interactive data visualizations. 68 | - [pyecharts](https://github.com/pyecharts/pyecharts) - Python interface for the [ECharts](https://github.com/apache/incubator-echarts) visualization library. 69 | - [pythreejs](https://github.com/jovyan/pythreejs) - Python / ThreeJS bridge utilizing the Jupyter widget infrastructure. 70 | - [Qgrid](https://github.com/quantopian/qgrid) - Interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks. 71 | 72 | ## Rendering/Publishing/Conversion 73 | 74 | - [Binder](http://mybinder.org) - Turn a GitHub repo into a collection of interactive notebooks. 75 | - [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. 76 | - [nbconvert](https://nbconvert.readthedocs.io) - Convert Notebooks to other formats. 77 | - [nbdime](https://github.com/jupyter/nbdime) - Tools for diffing and merging of Jupyter notebooks. 78 | - [nbinteract](https://www.nbinteract.com) - Create interactive webpages from Jupyter notebooks. 79 | - [nbflow](https://github.com/jhamrick/nbflow) - One-button reproducible workflows with Jupyter and Scons. 80 | - [nbscan](https://github.com/conery/nbscan) - Search for and print cells contents of Jupyter notebooks. 81 | - [Nikola](https://getnikola.com) - Static Site Generator that converts notebooks into websites. 82 | - [notedown](https://github.com/aaren/notedown/) - Convert Jupyter notebooks to markdown (and back). 83 | - [Papermill](https://github.com/nteract/papermill) - Tool for parameterizing, executing, and analyzing Jupyter notebooks. 84 | - [pynb](https://github.com/minodes/pynb) - Jupyter Notebooks as plain Python code with embedded Markdown text. 85 | - [RISE](https://github.com/damianavila/RISE) - Reveal.js Jupyter/IPython Slideshow. 86 | - [rst2ipynb](https://github.com/nthiery/rst-to-ipynb) - Convert standalone reStructuredText files to Jupyter notebook file. 87 | 88 | ## JupyterLab Extensions 89 | 90 | - [celltags](https://github.com/jupyterlab/jupyterlab-celltags) - Extension to organise and execute notebooks using cell tags. 91 | - [drawio](https://github.com/QuantStack/jupyterlab-drawio) - Extension that displays drawio/mxgraph diagrams. 92 | - [git](https://github.com/jupyterlab/jupyterlab-git) - Extension for git integration. 93 | - [go-to-definition](https://github.com/krassowski/jupyterlab-go-to-definition) - Extension for navigating to the definition of a variable or function in JupyterLab. 94 | - [google-drive](https://github.com/jupyterlab/jupyterlab-google-drive) - Extension for Google Drive integration. 95 | - [jupyterlab-kyso](https://github.com/kyso-io/jupyterlab-extension) - Extension to publish notebooks to the [Kyso](https://kyso.io) platform from Jupyterlab. 96 | - [latex](https://github.com/jupyterlab/jupyterlab-latex) - Extension for live editing of LaTeX documents. 97 | - [statusbar](https://github.com/jupyterlab/jupyterlab-statusbar) - Statusbar that displays various metrics/states of JupyterLab. 98 | - [toc](https://github.com/jupyterlab/jupyterlab-toc) - Extension that provides a table of contents for notebooks. 99 | - [variableinspector](https://github.com/lckr/jupyterlab-variableInspector) - Variable inspector extension that shows variables and their values. 100 | - [voyager](https://github.com/altair-viz/jupyterlab_voyager) - Extension to view CSV and JSON data in [Voyager](http://vega.github.io/voyager/). 101 | 102 | ## Testing 103 | 104 | - [ipytest](https://github.com/chmp/ipytest) - Test runner for running unit tests from within a notebook. 105 | - [nbval](https://github.com/computationalmodelling/nbval) - Py.test plugin for validating Jupyter notebooks. 106 | - [sphinxcontrib-jupyter](https://github.com/QuantEcon/sphinxcontrib-jupyter) - Sphinx Extension for Generating Jupyter Notebooks. 107 | - [nosebook](https://github.com/bollwyvl/nosebook) - Nose plugin for finding and running IPython notebooks as nose tests. 108 | 109 | ## Domain-Specific Projects 110 | 111 | - [GenePattern Notebook](http://genepattern-notebook.org) - Integrating Genomic Analysis with Interactive Notebooks. 112 | - [GeoNotebook](https://github.com/OpenGeoscience/geonotebook) - Extension for exploratory geospatial analysis. 113 | - [lolviz](https://github.com/parrt/lolviz) - Data-structure visualization tool for lists of lists, lists, dictionaries. 114 | - [Quantopian Notebooks](https://www.quantopian.com/notebooks/survey) - Jupyter-based platform for financial research. 115 | - [vpython-jupyter](https://github.com/BruceSherwood/vpython-jupyter) - VPython 3D engine running in a Jupyter notebook. 116 | 117 | ## Hosted Notebook Solutions 118 | 119 | - [Anaconda Enterprise](https://www.anaconda.com/enterprise/) - Multi-user collaboration and one-click deployment of models, notebooks, and dashboards. 120 | - [Azure Notebooks](https://notebooks.azure.com) - Jupyter notebooks running in the cloud on Microsoft Azure. 121 | - [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. 122 | - [DataScience.com](https://www.datascience.com) - Platform for enterprise data science. 123 | - [Domino Data Lab](https://www.dominodatalab.com) - Data science platform with integrated collaboration tools, environment management and compute grid. 124 | - [Google Cloud Datalab](https://cloud.google.com/datalab/) - Notebook platform integrated with the Google Cloud stack. 125 | - [Google Colaboratory](https://research.google.com/colaboratory/unregistered.html) - Cloud-based Jupyter environment aimed at machine learning education and research. 126 | - [Gryd](https://gryd.us) - Simple, managed, ready-to-use, cloud based Jupyter notebooks supporting multiple languages. 127 | - [Kyso](https://kyso.io) - Data science platform to publish and share Jupyter notebooks as data blogs and web applications. 128 | - [PAWS](https://wikitech.wikimedia.org/wiki/PAWS) - Jupyter notebook deployment customized for interacting with Wikimedia wikis. 129 | - [RMOTR Notebooks](https://notebooks.rmotr.com) - JupyterLab-based data science environment in the cloud. 130 | 131 | ## Official Resources and Documentation 132 | 133 | - [JupyterLab Documentation](http://jupyterlab.readthedocs.io/en/stable/index.html) 134 | - [Jupyter kernels](https://github.com/jupyter/jupyter/wiki/Jupyter-kernels) - List of all programming languages available as Jupyter kernels. 135 | - [Making kernels for Jupyter](https://jupyter-client.readthedocs.io/en/latest/kernels.html) 136 | - [Try Jupyter](https://try.jupyter.org) - Try Jupyter in your browser. 137 | 138 | ## Community Resources 139 | 140 | - Conference Talks - [PyVideo.org](http://pyvideo.org/search.html?q=jupyter), [JupyterCon](https://www.youtube.com/playlist?list=PL055Epbe6d5aP6Ru42r7hk68GTSaclYgi) 141 | - [jupyter-map](https://elc.github.io/jupyter-map/) - Map of university institutions that use Jupyter. 142 | - Gitter - [Jupyter Gitter Chatroom](https://gitter.im/jupyter/jupyter) 143 | - 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) 144 | - GitHub - Search: [jupyter](https://github.com/search?type=Repositories&q=jupyter) 145 | - 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) 146 | - PyPI - [``Framework :: Jupyter``](https://pypi.org/search/?&c=Framework+%3A%3A+Jupyter) 147 | is the PyPI trove classifier for Jupyter projects. 148 | - Reddit - Subreddits: [r/IPython](https://www.reddit.com/r/IPython/), [r/Jupyter/](https://www.reddit.com/r/Jupyter/) 149 | - Stack Overflow - Tags: [jupyter](https://stackoverflow.com/questions/tagged/jupyter), [jupyter-notebook](https://stackoverflow.com/questions/tagged/jupyter-notebook) 150 | 151 | ## Articles/Guides/Tutorials 152 | 153 | - [Exploratory computing with Python](http://mbakker7.github.io/exploratory_computing_with_python/) - Collection of notebooks covering scientific computing. 154 | - [Gallery of Jupyter notebooks I](https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks) 155 | - [Gallery of Jupyter notebooks II](http://nb.bianp.net/sort/views/) 156 | - [Install and run a Jupyter notebook in a Google Cloud Dataproc cluster](https://cloud.google.com/dataproc/docs/tutorials/jupyter-notebook) 157 | - [Interactive Web Plotting with Bokeh](https://github.com/bokeh/bokeh-notebooks) 158 | - [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. 159 | - [Jupyter Notebook Extensions](http://jupyter-contrib-nbextensions.readthedocs.io) 160 | - [Jupyter Notebook Themes](https://github.com/dunovank/jupyter-themes) 161 | - [Jupyter tips, tricks and shortcuts](https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/) 162 | - [Lectures on scientific computing with Python](https://github.com/jrjohansson/scientific-python-lectures) 163 | - [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. 164 | - [pytudes](https://github.com/norvig/pytudes) - List of Jupyter Notebooks by Peter Norvig. 165 | - [ResGuides: research with Jupyter](https://www.gitbook.com/book/dansand/resguides-research-with-jupyter/details) 166 | - [Zero to JupyterHub](http://zero-to-jupyterhub.readthedocs.io/en/latest/) - Tutorial to help install and manage JupyterHub. 167 | 168 | ## Contributing 169 | 170 | Your contributions are always welcome! 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