jupyterlab
Advanced tools
Prerequisites | Installation | Contributing | License | Getting help
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.
Jupyter notebook version 4.2 or later. To check the notebook version:
jupyter notebook --version
The runtime versions which are currently known to work:
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.
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.
If you would like to contribute to the project, please read our contributor documentation.
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.
We encourage you to ask questions on the mailing list, and you may participate in development discussions or get live help on Gitter.
FAQs
A computational environment for Jupyter.
The npm package jupyterlab receives a total of 23 weekly downloads. As such, jupyterlab popularity was classified as not popular.
We found that jupyterlab demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 5 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
TC39 met in Seattle and advanced 9 JavaScript proposals, including three to Stage 4, introducing new features and enhancements for a future ECMAScript release.
Security News
Deno 2.2 enhances Node.js compatibility, improves dependency management, adds OpenTelemetry support, and expands linting and task automation for developers.
Security News
React's CRA deprecation announcement sparked community criticism over framework recommendations, leading to quick updates acknowledging build tools like Vite as valid alternatives.