Skip to content

adou2/jupyterlab

This branch is 3211 commits behind jupyterlab/jupyterlab:main.

Folders and files

NameName
Last commit message
Last commit date
Apr 8, 2021
Apr 8, 2021
Apr 9, 2021
Apr 9, 2021
Jun 24, 2020
Apr 9, 2021
Apr 10, 2021
Apr 12, 2021
Sep 8, 2020
Apr 9, 2021
Apr 12, 2021
Aug 24, 2019
Apr 8, 2021
Apr 9, 2021
Sep 25, 2018
Apr 9, 2021
Jan 29, 2020
Jan 13, 2021
Nov 21, 2020
Mar 6, 2018
Mar 16, 2021
Mar 1, 2021
Oct 15, 2018
Feb 20, 2021
Aug 28, 2020
Sep 4, 2018
Apr 12, 2021
Jul 8, 2020
Jul 25, 2019
Jul 19, 2018
Feb 12, 2021
Mar 10, 2021
Mar 26, 2021
Aug 28, 2019
Dec 16, 2020
Sep 4, 2018
Apr 24, 2020
Feb 18, 2021
Sep 11, 2020
Oct 19, 2020
Mar 26, 2021
Dec 1, 2020
Dec 20, 2019
Aug 28, 2020
Dec 17, 2020
Dec 17, 2020
Apr 8, 2021

Repository files navigation

Installation | Documentation | Contributing | License | Team | Getting help |

PyPI version Downloads Build Status Build Status Documentation Status Crowdin GitHub Discourse Gitter

Binder

Open in Gitpod

An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. Currently ready for users.

JupyterLab is the next-generation user interface for Project Jupyter offering all the familiar building blocks of the classic Jupyter Notebook (notebook, terminal, text editor, file browser, rich outputs, etc.) in a flexible and powerful user interface. JupyterLab will eventually replace the classic Jupyter Notebook.

JupyterLab can be extended using npm packages that use our public APIs. To find JupyterLab extensions, search for the npm keyword jupyterlab-extension or the GitHub topic jupyterlab-extension. To learn more about extensions, see the user documentation.

The current JupyterLab releases are suitable for general usage, and the extension APIs will continue to evolve for JupyterLab extension developers.

Read the current JupyterLab documentation on ReadTheDocs.


Getting started

Installation

JupyterLab can be installed using conda or pip. For more detailed instructions, consult the installation guide.

Project installation instructions from the git sources are available in the contributor documentation.

conda

If you use conda, you can install it with:

conda install -c conda-forge jupyterlab

pip

If you use pip, you can install it with:

pip install jupyterlab

If installing using pip install --user, you must add the user-level bin directory to your PATH environment variable in order to launch jupyter lab. If you are using a Unix derivative (FreeBSD, GNU / Linux, OS X), you can achieve this by using export PATH="$HOME/.local/bin:$PATH" command.

Installing with Previous Versions of Jupyter Notebook

When using a version of Jupyter Notebook earlier than 5.3, the following command must be run after installation to enable the JupyterLab server extension:

jupyter serverextension enable --py jupyterlab --sys-prefix

Running

Start up JupyterLab using:

jupyter lab

JupyterLab will open automatically in the browser. See the documentation for additional details.

If you encounter an error like "Command 'jupyter' not found", please make sure PATH environment variable is set correctly. Alternatively, you can start up JupyterLab using ~/.local/bin/jupyter lab without changing the PATH environment variable.

Prerequisites and Supported Browsers

The latest versions of the following browsers are currently known to work:

  • Firefox
  • Chrome
  • Safari

See our documentation for additional details.


Getting help

We encourage you to ask questions on the Discourse forum. A question answered there can become a useful resource for others.

Bug report

To report a bug please read the guidelines and then open a Github issue. To keep resolved issues self-contained, the lock bot will lock closed issues as resolved after a period of inactivity. If related discussion is still needed after an issue is locked, please open a new issue and reference the old issue.

Feature request

We also welcome suggestions for new features as they help make the project more useful for everyone. To request a feature please use the feature request template.


Development

Extending JupyterLab

To start developing an extension for JupyterLab, see the developer documentation and the API docs.

Contributing

To contribute code or documentation to JupyterLab itself, please read the contributor documentation.

JupyterLab follows the Jupyter Community Guides.

License

JupyterLab uses a shared copyright model that enables all contributors to maintain the copyright on their contributions. All code is licensed under the terms of the revised BSD license.

Team

JupyterLab is part of Project Jupyter and is developed by an open community. The maintenance team is assisted by a much larger group of contributors to JupyterLab and Project Jupyter as a whole.

JupyterLab's current maintainers are listed in alphabetical order, with affiliation, and main areas of contribution:

  • Mehmet Bektas, Bloomberg (general development, extensions).
  • Alex Bozarth, IBM (general development, extensions).
  • Eric Charles, Datalayer, (general development, extensions).
  • Martha Cryan, IBM (general development, extensions).
  • Afshin Darian, Two Sigma (co-creator, application/high-level architecture, prolific contributions throughout the code base).
  • Vidar T. Fauske, JPMorgan Chase (general development, extensions).
  • Tim George, Cal Poly (UI/UX design, strategy, management, user needs analysis)
  • Brian Granger, AWS (co-creator, strategy, vision, management, UI/UX design, architecture).
  • Jason Grout, Bloomberg (co-creator, vision, general development).
  • Max Klein, JPMorgan Chase (UI Package, build system, general development, extensions).
  • Fernando Perez, UC Berkeley (co-creator, vision).
  • Ian Rose, Quansight/City of LA (general core development, extensions).
  • Andrew Schlaepfer, Bloomberg (general development, extensions).
  • Saul Shanabrook, Quansight (general development, extensions)
  • Steven Silvester, Apple (co-creator, release management, packaging, prolific contributions throughout the code base).

Maintainer emeritus:

  • Chris Colbert, Project Jupyter (co-creator, application/low-level architecture, technical leadership, vision, PhosphorJS)
  • Jessica Forde, Project Jupyter (demo, documentation)
  • Cameron Oelsen, Cal Poly (UI/UX design).

This list is provided to give the reader context on who we are and how our team functions. To be listed, please submit a pull request with your information.


Weekly Dev Meeting

We have videoconference meetings every week where we discuss what we have been working on and get feedback from one another.

Anyone is welcome to attend, if they would like to discuss a topic or just to listen in.

About

JupyterLab computational environment.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • JavaScript 50.2%
  • TypeScript 43.8%
  • Python 3.0%
  • CSS 2.7%
  • Shell 0.2%
  • HTML 0.1%