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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).
If you use conda, you can install as:
conda install -c conda-forge jupyterlabIf you use pip, you can install it as:
pip install jupyterlab
jupyter serverextension enable --py jupyterlab --sys-prefixInstructions 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.
Start up JupyterLab using:
jupyter labJupyterLab will open automatically in your browser. You may also access
JupyterLab by entering the notebook server's URL (http://localhost:8888) in
the browser.
Jupyter notebook version 4.3 or later. To check the notebook version:
jupyter notebook --versionThe 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.
Read our documentation on ReadTheDocs.
If you would like to contribute to the project, please read our contributor documentation.
JupyterLab follows the official Jupyter Code of Conduct.
JupyterLab can be extended using extensions that are npm packages and use our public APIs. See our documentation for users and developers.
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.
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).
- 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.
We encourage you to ask questions on the mailing list, and you may participate in development discussions or get live help on Gitter.