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.
install JupyterLab using
pipenv. Conda is recommended if you have no installation preference.
Project installation instructions from the git sources are available in the contributor documentation.
Conda is an open source package management system and environment management system that runs on Windows, macOS, and Linux. Conda packages and distributes software for any language, and by default uses the Anaconda repository managed by Anaconda Inc. To install conda, please see the conda installation instructions.
Install the JupyterLab
conda package with:
conda install -c conda-forge jupyterlab
pip is a package management system for installing and updating Python packages, and comes with any Python installation. On Ubuntu and Fedora Linux, use the system package manager to install the
python3-pip package. _The Hitchhiker's Guide to Python_provides guidance on how to install Python; Another option is to install Python directly from python.org. We suggest you upgrade pip before using it to install other programs.
JupyterLab requires Python 3.5 or higher.
- When using Windows with Python version 3.5 or higher, use the Python Launcher for Windows to use
pipwith Python version 3:
py -3 -m pip install jupyterlab
- If the system has a
python3command (standard on Unix-like systems), install with the comand:
python3 -m pip install jupyterlab
- Using the
pythoncommand directly is another option, but this will use the current version of Python (which may be Python version 2 or version 3 if both are installed):
python -m pip install jupyterlab
Some systems have a
pip3 command that has the same effect as
python3 -m pip and/or a
pip command that behaves the same as
python -m pip.
pip install will install the files to a local user install directory (typically
%APPDATA%\Python on Windows) instead of the system-wide directory. This can be helpful, especially if writing to the system-wide directory is not permitted. However, the user-level
bin directory must be added to the
PATH environment variable in order to launch
Pipenv provides users and developers of applications with an easy method to setup a working environment, however Python must be installed first. See the pipenv installation documentation to use Pipenv if it is not installed.
pipenv can be installed as:
pipenv install jupyterlab pipenv shell
or from a git checkout:
pipenv install git+git://github.com/jupyterlab/jupyterlab.git#egg=jupyterlab pipenv shell
pipenv, in order to launch
jupyter lab, activate the project's virtualenv. For example, in the directory where
Pipfile.lock live (i.e., where the above commands were run):
pipenv shell jupyter lab
Installing with Previous Versions of Jupyter Notebook
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-prefix
Start up JupyterLab using:
JupyterLab will open automatically in the browser. See the documentation for additional details.
Prerequisites and Supported Browsers
Jupyter notebook version 4.3 or later is required. To check the notebook version, run the command:
jupyter notebook --version
The latest versions of the following browsers are currently known to work:
See our documentation for additional details.
To contribute to the project, please read the contributor documentation.
JupyterLab follows the Jupyter Community Guides.
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, UC Berkeley (Real-time collaboration, document architecture).
- Saul Shanabrook, Quansight (general development, extensions)
- Steven Silvester, JPMorgan Chase (co-creator, release management, packaging, prolific contributions throughout the code base).
- 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.