JupyterLab

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 latest version's 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

Jupyter notebook version 4.3 or later is required. To check the notebook version, run the command:

jupyter notebook --version

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

Contributing

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

JupyterLab follows the Jupyter Community Guides.

Extending JupyterLab

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

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:

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).
Eric Charles, Datalayer, (general development, extensions).
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).
Saul Shanabrook, Quansight (general development, extensions)
Steven Silvester, AWS (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)
Cameron Oelsen, Cal Poly (UI/UX design).
Jessica Forde, Project Jupyter (demo, documentation)

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.

When: Wednesdays 9AM Pacific Time
Where: jovyan Zoom
What: Meeting notes

xerrie/jupyterlab