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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.
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.
If you use conda, you can install it with:
conda install -c conda-forge jupyterlabIf you use pip, you can install it with:
pip install jupyterlabIf installing using pip install --user, you must add the user-level bin directory to your PATH environment variable in order to launch jupyter lab.
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-prefixStart up JupyterLab using:
jupyter labJupyterLab will open automatically in the browser. See the documentation for additional details.
Jupyter notebook version 4.3 or later is required. To check the notebook version, run the command:
jupyter notebook --versionThe latest versions of the following browsers are currently known to work:
- Firefox
- Chrome
- Safari
See our documentation for additional details.
To contribute to the project, please read the contributor documentation.
JupyterLab follows the Jupyter Community Guides.
To start developing an extension, see the developer documentation and the API docs.
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.
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:
- Chris Colbert, Project Jupyter (co-creator, application/low-level architecture, technical leadership, vision, PhosphorJS)
- Afshin Darian, Two Sigma (co-creator, application/high-level architecture, prolific contributions throughout the code base).
- Jessica Forde, Project Jupyter (demo, documentation)
- Tim George, Cal Poly (UI/UX design, strategy, management, user needs analysis)
- Brian Granger, Cal Poly (co-creator, strategy, vision, management, UI/UX design, architecture).
- Jason Grout, Bloomberg (co-creator, vision, general development).
- 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, JPMorgan Chase (co-creator, release management, packaging, prolific contributions throughout the code base).
- Vidar T. Fauske, JPMorgan Chase (general development, extensions).
Maintainer emeritus:
- 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.
We encourage you to ask questions on the Discourse forum. A question answered there can become a useful resource for others.
Please use the GitHub issues page to provide feedback or submit a bug report.
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:
calpoly/jupyterZoom - What: Meeting notes on Dropbox Paper