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Jupyter Widget Flex Layout

Project description


Binder Build Test Documentation Status GitHub license PyPI version Conda Version

A WYSIWYG layout editor for Jupyter widgets

Based on the React library FlexLayout, ipyflex allows you to compose the sophisticated dashboard layouts from existing Jupyter widgets without coding. It supports multiple tabs, resizable cards, drag-and-drop layout, save dashboard template to disk, and many more.


Dynamic layout

Dynamic layout

Widget factory

Widget factory

Configurable header

Stock indexes dashboard

Stock indexes


You can read the documentation following this link:


You can install using pip:

pip install ipyflex

Or using conda:

conda install -c conda-forge  ipyflex

And if you use jupyterlab <= 2:

mamba install -c conda-forge yarn
jupyter labextension install @jupyter-widgets/jupyterlab-manager ipyflex

Development Installation

Create a dev environment:

conda create -n ipyflex-dev -c conda-forge nodejs yarn python jupyterlab
conda activate ipyflex-dev

Install the python. This will also build the TS package.

pip install -e ".[test, examples]"

When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command:

jupyter labextension develop --overwrite .
yarn run build

For classic notebook, you need to run:

jupyter nbextension install --sys-prefix --symlink --overwrite --py ipyflex
jupyter nbextension enable --sys-prefix --py ipyflex

Note that the --symlink flag doesn't work on Windows, so you will here have to run the install command every time that you rebuild your extension. For certain installations you might also need another flag instead of --sys-prefix, but we won't cover the meaning of those flags here.

How to see your changes


If you use JupyterLab to develop then you can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the widget.

# Watch the source directory in one terminal, automatically rebuilding when needed
yarn run watch
# Run JupyterLab in another terminal
jupyter lab

After a change wait for the build to finish and then refresh your browser and the changes should take effect.


If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.


The following libraries / open-source projects were used or inspired in the development of ipyflex:

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