Installation

JupyterLab can be installed using conda, pip, or pipenv.

conda

If you use conda, you can install it with:

conda install -c conda-forge jupyterlab

pip

If you use pip, you can install it with:

pip install jupyterlab

If installing using pip install --user, you must add the user-level bin directory to your PATH environment variable in order to launch jupyter lab.

pipenv

If you use pipenv, you can install it 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, you must activate the project’s virtualenv. For example, in the directory where pipenv’s Pipfile and Pipfile.lock live (i.e., where you ran the above commands):

pipenv shell
 jupyter lab

Installing with Previous Versions of Notebook

If you are using a version of Jupyter Notebook earlier than 5.3, then you must also run the following command to enable the JupyterLab server extension:

jupyter serverextension enable --py jupyterlab --sys-prefix

Prerequisites

JupyterLab requires the Jupyter Notebook version 4.3 or later. To check the version of the notebook package that you have installed:

jupyter notebook --version

Supported browsers

The latest versions of the following browsers are currently known to work:

  • Firefox
  • Chrome
  • Safari

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.