jupyterlab

Prerequisites | Installation | Contributing | License | Getting help

JupyterLab

An extensible computational environment for Jupyter.

**JupyterLab is a very early developer preview, and is not suitable for general usage yet. Features and implementation are subject to change. **

With JupyterLab, you can create a computational environment for Jupyter that meets your workflow needs. Here's a quick preview of JupyterLab:

We have a roadmap of planned development.

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Prerequisites

Jupyter notebook version 4.2 or later. To check the notebook version:

jupyter notebook --version

Supported Runtimes

The runtime versions which are currently known to work:

• Firefox 49+
• Chrome 39+
• Safari 10+

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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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

Start up JupyterLab:

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.

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

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Contributing

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

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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.

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