jupyterlab

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

JupyterLab

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

JupyterLab is the next generation user interface for Project Jupyter. It offers 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 inteface that can be extended through third party extensions that access our public APIs. Eventually, JupyterLab will replace the classic Jupyter Notebook.

JupyterLab is approaching its beta release in mid 2017. During our pre-beta series of releases, we encourage users and developers to try out JupyterLab and give us feedback. For users, the upcoming beta will be suitable for general usage. For developers, our APIs will continue to change significantly up until the 1.0 release.

For a good overview of JupyterLab, please see this link to a recent talk we gave about JupyterLab at PyData Seattle (2017).

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Getting started

Installation

If you use conda, you can install as:

conda install -c conda-forge jupyterlab

If you use pip, you can install it as:

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

Instructions on how to install the project from the git sources are available in our contributor documentation.

Note: 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.

Note: If installing from source and not using the development installation (pip install -e .), you must run jupyter lab build after the install to get a working application directory.

Running

Start up JupyterLab using:

jupyter lab

JupyterLab will open automatically in your browser. You may also access JupyterLab by entering the notebook server's URL (http://localhost:8888) in the browser.

Prerequisites

Jupyter notebook version 4.3 or later. To check the notebook version:

jupyter notebook --version

Supported runtimes

The runtime versions which are currently known to work:

• Firefox Latest
• Chrome Latest
• Safari Latest

Earlier browser versions may also work, but come with no guarantees.

JupyterLab uses CSS Variables for styling, which is one reason for the minimum versions listed above. IE 11+ or Edge 14 do not support CSS Variables, and are not directly supported at this time. A tool like postcss can be used to convert the CSS files in the jupyterlab/build directory manually if desired.

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Documentation

Read our documentation on ReadTheDocs.

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Development

Contributing

If you would like to contribute to the project, please read our contributor documentation.

JupyterLab follows the official Jupyter Code of Conduct.

Extensions

JupyterLab can be extended using extensions that are npm packages and use our public APIs. See our documentation for users and developers.

License

We use 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 of contributors. JupyterLab's current maintainers are as follows:

(listed in alphabetical order, with affiliation, and main areas of contribution)

• Chris Colbert, Continuum Analytics (co-creator, application/low-level architecture, technical leadership, vision, phosphor.js)
• Afshin Darian, Continuum Analytics (co-creator, settings, inspector, completer, prolific contributions throughout the code base).
• Jessica Forde, UC Berkeley (demo, documentation)
• Brian Granger, Cal Poly (co-creator, strategy, vision, management, UI/UX design, architecture).
• Jason Grout, Bloomberg (co-creator, vision, general development).
• Cameron Oelsen, Cal Poly (UI/UX design).
• Fernando Perez, UC Berkeley (co-creator, vision).
• Ian Rose, UC Berkeley (Real-time collaboration, document architecture).
• Steven Silvester, Continuum Analytics (co-creator, release management, packaging, prolific contributions throughout the code base).

This list is provided to help provide context about who we are and how our team functions. This team is accompanied by a much larger group of contributors to JupyterLab and Project Jupyter as a whole. If you would like to be listed here, please submit a pull request with your information.

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Getting help

We encourage you to ask questions on the mailing list, and you may participate in development discussions or get live help on Gitter.

Resources

• Reporting Issues
• Architecture tutorial
• API Docs
• Documentation for Project Jupyter | PDF
• Project Jupyter website