Control JupyterLab from Python notebooks.
The goal is to provide access to most of the JupyterLab environment from Python notebooks. For example:
- Adding widgets to the main area
DockPanel
, left, right or top area - Build more advanced interfaces leveraging
SplitPanel
,Toolbar
and other Lumino widgets - Launch arbitrary commands (new terminal, change theme, open file and so on)
- Open a workspace with a specific layout
- Listen to JupyterLab signals (notebook opened, console closed) and trigger Python callbacks
Try it in your browser with Binder:
Or with JupyterLite:
A subset of the features can be used in RetroLab:
You can install using pip
:
pip install ipylab
Or with mamba
/ conda
:
mamba install -c conda-forge ipylab
To try out the examples locally, the recommended way is to create a new environment with the dependencies:
# create a new conda environment
conda create -n ipylab-examples -c conda-forge jupyterlab ipylab ipytree bqplot ipywidgets numpy
conda activate ipylab-examples
# start JupyterLab
jupyter lab
ipylab
can be seen as a proxy from Python to JupyterLab over Jupyter Widgets: