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JupyterLab computational environment.

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

PyPI versionPyPI DownloadsBuild StatusBuild StatusDocumentation StatusCrowdinOpenSSF Best PracticesOpenSSF ScorecardGitHubDiscourseZulipGitpod

Binder

An extensible environment for interactive and reproducible computing, based on theJupyter Notebook and Architecture.

JupyterLab is the next-generation user interface forProject Jupyter offeringall the familiar building blocks of the classic Jupyter Notebook (notebook,terminal, text editor, file browser, rich outputs, etc.) in a flexible andpowerful user interface.

JupyterLab can be extended usingnpm packagesthat use our public APIs. Theprebuilt extensions can be distributedviaPyPI,conda, and other package managers. Thesource extensions can be installeddirectly from npm (search forjupyterlab-extension) but require an additional build step.You can also find JupyterLab extensions exploring GitHub topicjupyterlab-extension.To learn more about extensions, see theuser documentation.

Read the current JupyterLab documentation onReadTheDocs.

Important

JupyterLab 3 reached its end of maintenance date on May 15, 2024. Fixes for critical issues will still be backported until December 31, 2024. If you are still running JupyterLab 3, we strongly encourage you toupgrade to JupyterLab 4 as soon as possible. For more information, seeJupyterLab 3 end of maintenance on the Jupyter Blog.


Getting started

Installation

If you useconda,mamba, orpip, you can install JupyterLab with one of the following commands.

  • If you use conda:
    conda install -c conda-forge jupyterlab
  • If you use mamba:
    mamba install -c conda-forge jupyterlab
  • If you use pip:
    pip install jupyterlab
    If installing usingpip install --user, you must add the user-levelbin directory to yourPATH environment variable in order to launchjupyter lab. If you are using a Unix derivative (e.g., FreeBSD, GNU/Linux, macOS), you can do this by runningexport PATH="$HOME/.local/bin:$PATH".

For more detailed instructions, consult theinstallation guide. Project installation instructions from the git sources are available in thecontributor documentation.

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 installing JupyterLab to enable the JupyterLab server extension:

jupyter serverextensionenable --py jupyterlab --sys-prefix

Running

Start up JupyterLab using:

jupyter lab

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

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

Prerequisites and Supported Browsers

The latest versions of the following browsers are currentlyknown to work:

  • Firefox
  • Chrome
  • Safari

See ourdocumentation for additional details.


Getting help

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

Bug report

To report a bug please read theguidelines and then open aGithub issue. To keep resolved issues self-contained, thelock bot will lock closed issues as resolved after a period of inactivity. If a 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 thefeature request template.


Development

Extending JupyterLab

To start developing an extension for JupyterLab, see thedeveloper documentation and theAPI docs.

Contributing

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

JupyterLab follows the JupyterCommunity Guides.

License

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

Team

JupyterLab is part ofProject 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, Netflix (general development, extensions).
  • Alex Bozarth, IBM (general development, extensions).
  • Eric Charles, Datalayer, (general development, extensions).
  • Frédéric Collonval, WebScIT (general development, extensions).
  • Martha Cryan, Mito (general development, extensions).
  • Afshin Darian, QuantStack (co-creator, application/high-level architecture,prolific contributions throughout the code base).
  • Vidar T. Fauske, JPMorgan Chase (general development, extensions).
  • Brian Granger, AWS (co-creator, strategy, vision, management, UI/UX design,architecture).
  • Jason Grout, Databricks (co-creator, vision, general development).
  • Michał Krassowski, Quansight (general development, extensions).
  • Max Klein, JPMorgan Chase (UI Package, build system, general development, extensions).
  • Gonzalo Peña-Castellanos, QuanSight (general development, i18n, extensions).
  • Fernando Perez, UC Berkeley (co-creator, vision).
  • Steven Silvester, MongoDB (co-creator, release management, packaging,prolific contributions throughout the code base).
  • Jeremy Tuloup, QuantStack (general development, extensions).

Maintainer emeritus:

  • Chris Colbert, Project Jupyter (co-creator, application/low-level architecture,technical leadership, vision, PhosphorJS)
  • Jessica Forde, Project Jupyter (demo, documentation)
  • Tim George, Cal Poly (UI/UX design, strategy, management, user needs analysis).
  • Cameron Oelsen, Cal Poly (UI/UX design).
  • Isabela Presedo-Floyd, QuanSight Labs (design/UX).
  • Ian Rose, Quansight/City of LA (general core development, extensions).
  • Andrew Schlaepfer, Bloomberg (general development, extensions).
  • Saul Shanabrook, Quansight (general development, extensions)

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 listen in.

Notes are archived onGitHub Jupyter Frontends team compass.


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