UI Toolkit for Jupyter

WIP this is early work in progress. But don't hesitate to open issues and PRs if you want to
help.


!Toolkit for Jupyter Artwork

Explore the components | Online JupyterLab demo

Introduction

The UI Toolkit is a component library for building web interfaces in Jupyter ecosystem (JupyterHub,
Jupyter Widgets, JupyterLab,...).

Features of the library include:

- Implements the Jupyter design language: All components follow the design language of Jupyter
– enabling developers to create extensions that have a consistent look and feel with the rest of
the ecosystem.
- Automatic support for color themes: All components are designed with theming in mind and will
automatically display the current application theme.
- Use any tech stack: The library ships as a set of web components, meaning developers can use
the toolkit no matter what tech stack (React, Vue, Svelte, etc.) their extension is built with.
- Accessible out of the box: All components ship with web standard compliant ARIA labels and
keyboard navigation.

This repository contains three packages:

- @jupyter/web-components:
The main package defining the web components.
- @jupyter/react-components:
Wrapped the web components to use them with React.
- jupyter-ui-demo:
Unpublished JupyterLab extension to demonstrate the integration of the toolkit.

Those features are brought through the Fast Design. And it is inspired
by the WebView toolkit for Visual Studio Code
as example for creating a customized toolkit.

Release

The UI Toolkit is currently in a proof of concept. Track progress towards 1.0 here.
Styles and API are not guarantee between minor versions prior to v1.0.0.

Getting started

You will need to install yarn (for example with npm install --global yarn).

To build the components packages, execute:

``sh
yarn install
yarn build
`

Then to interactively test or develop web components:

`sh
cd packages/components
yarn start
`

$3

To test locally the JupyterLab demo extension, using conda package manager:

`sh
conda create -n jupyter-toolkit -c conda-forge -y nodejs yarn jupyterlab=3
conda activate jupyter-toolkit
yarn install
yarn build
pip install -e .
jupyter labextension develop --overwrite .
``

Documentation

Further documentation can be found in the following places:

- Component Docs
- Storybook (Interactive Component Sandbox)
- Toolkit Extension Samples:
Try online

Contributing

See the contributing documentation.