ipylab
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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 online
Try it in your browser with Binder:
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Or with JupyterLite:
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Examples
Add Jupyter Widgets to the JupyterLab interface
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Execute Commands
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Custom Python Commands and Command Palette
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Build small applications
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Compatibility with RetroLab
A subset of the features can be used in RetroLab:
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Installation
You can install using pip
:
pip install ipylab
Or with mamba
/ conda
:
mamba install -c conda-forge ipylab
Running the examples locally
To try out the examples locally, the recommended way is to create a new environment with the dependencies:
conda create -n ipylab-examples -c conda-forge jupyterlab ipylab ipytree bqplot ipywidgets numpy
conda activate ipylab-examples
jupyter lab
Under the hood
ipylab
can be seen as a proxy from Python to JupyterLab over Jupyter Widgets:
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Development
mamba create -n ipylab -c conda-forge jupyter-packaging nodejs python -y
conda activate ipylab
python -m pip install -e ".[dev]"
jupyter labextension develop . --overwrite
jlpm && jlpm run build
Related projects
There are a couple of projects that also enable interacting with the JupyterLab environment from Python notebooks: