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LineUp.js as Jupyter Widget

License: MIT Github Actions

LineUp is an interactive technique designed to create, visualize and explore rankings of items based on a set of heterogeneous attributes. This is a Jupyter Widget wrapper around the JavaScript library LineUp.js. Details about the LineUp visualization technique can be found at


You can install using pip:

pip install lineup_widget

If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension:

jupyter nbextension enable --py [--sys-prefix|--user|--system] lineup_widget


Launch Binder

import lineup_widget
import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))

w = lineup_widget.LineUpWidget(df)
w.on_selection_changed(lambda selection: print(selection))

simple usage

from __future__ import print_function
from ipywidgets import interact, interactive, interact_manual

def selection_changed(selection):
    return df.iloc[selection]

interact(selection_changed, selection=lineup_widget.LineUpWidget(df));

interact example


In case you see scrollbars in each cell it is because of the font the cells are too narrow, you can specify a larger row height using

w = lineup_widget.LineUpWidget(df, options=dict(rowHeight=20))

Development Installation

Create a dev environment:

conda create -n lineup_widget-dev -c conda-forge nodejs yarn python jupyterlab jupyter-packaging numpy pandas
conda activate lineup_widget-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 lineup_widget
jupyter nbextension enable --sys-prefix --py lineup_widget

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.


  • Samuel Gratzl (@sgratzl)