Counting 3,384 Big Data & Machine Learning Frameworks, Toolsets, and Examples...
Suggestion? Feedback? Tweet @stkim1

Author

Installation | Documentation | Contributing | License | Team | Getting help |

JupyterLab

PyPI version Build Status Build Status Documentation Status Google Group Join the Gitter Chat Binder

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.


Getting started

Installation

install JupyterLab using conda, pip, or pipenv. Conda is recommended if you have no installation preference.

Project installation instructions from the git sources are available in the contributor documentation.

conda

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

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.

  1. When using Windows with Python version 3.5 or higher, use the Python Launcher for Windows to use pip with Python version 3:
    py -3 -m pip install jupyterlab
  2. If the system has a python3 command (standard on Unix-like systems), install with the comand:
    python3 -m pip install jupyterlab
  3. Using the python command 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.

Adding --user after pip install will install the files to a local user install directory (typically ~/.local/ or %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 jupyter lab.

pipenv

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

When using pipenv, in order to launch jupyter lab, activate the project's virtualenv. For example, in the directory where pipenv's Pipfile and 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

Running

Start up JupyterLab using:

jupyter lab

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:

  • Firefox
  • Chrome
  • Safari

See our documentation for additional details.


Development

Contributing

To contribute to the project, please read the contributor documentation.

JupyterLab follows the Jupyter Community Guides.

Extending JupyterLab

To start developing an extension, see the developer documentation and the API docs.

License

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.

Team

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).

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.


Getting help

We encourage you to ask questions on the mailing list, and participate in development discussions or get live help on Gitter. Please use the issues page to provide feedback or submit a bug report.

Latest Releases
v0.35.4
 Nov. 3 2018
v0.35.3
 Oct. 28 2018
v0.35.2
 Oct. 17 2018
v0.35.1
 Oct. 13 2018
v0.35.0
 Oct. 5 2018