The widgyts project depends on a number of packages. Minimally, your machine should have ipywidgets, ipydatawidgets and yt.

For a development version, you will also be required to install npm and node.js to manage the javascript code and associated dependencies. Due to the proliferation of the jupyter widgets ecosystem, these are available to install with conda.

Installation from Source

To install widgyts from source, you’ll need to clone the repository from Github:

$ git clone

Then navigate into the newly created directory and install using pip:

$ cd widgyts
$ pip install .

Development Installation

For a development installation your machine will need npm to manage the associated javascript code and dependencies.

$ git clone
$ cd widgyts/js
$ npm install
$ cd ../
$ pip install -e .
$ jupyter serverextension enable --py --sys-prefix widgyts
$ jupyter nbextension install --py --symlink --sys-prefix widgyts
$ jupyter nbextension enable --py --sys-prefix widgyts

If you are modifying code on the python side, you may have to periodically update your installation from the steps pip install onwards. If you are modifying javascript code, you’ll need to rerun npm install to have your changes available in jupyter notebooks.

Note that in previous versions, serverextension was not provided and you were required to set up your own mimetype in your local configuration. This is no longer the case and you are now able to use this server extension to set up the correct wasm mimetype.

To install the jupyterlab extension, you will need to make sure you are on a recent enough version of Jupyterlab, preferably 0.35 or above. For a development installation, do:

$ jupyter labextension install js

To install the latest released version,

$ jupyter labextension install @data-exp-lab/yt-widgets