The goal of this repository is to show how to develop extensions for JupyterLab, presented as short tutorial series.

To get started:

git clone https://github.com/jtpio/jupyterlab-extension-examples.git &&
  cd jupyterlab-extension-examples && \
  conda env create && \
  conda activate jupyterlab-extension-examples && \
  cd basics/hello-world && \
  jlpm && \
  jlpm run build && \
  jupyter labextension link .

# In another terminal
jupyter lab --watch

You may find it easier to learn how to create extensions by examples, instead of going through the documentation.

Start with the Hello World and then jump to the topic you are interested in.

• Hello World
• Signals
• Datagrid
• Command Palette
• Commands
• Launcher
• Main Menu
• Settings
• State
• React Widget
• Widgets
• Kernel Output
• Kernel Messaging
• Server Hello World

You can expect from each example:

• An explanation of its functionality.
• An image or screencast showing its usage.
• The list of used JupyterLab API and Extension Points.
• Explanations of the internal working, illustrated with code snippets.

We have structured the examples based on the extension points. Browse the previews below or skip them and jump directly to the sections for developers.

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Writing an extension requires basic knowledge of JavaScript, Typescript and potentially Python.

Don't be scared of Typescript, even if you never coded in TypeScript before you touch JupyterLab you may find it easier to understand than pure JavaScript if you have a basic understanding of object oriented programming and types.

These examples are developed and tested on top of JupyterLab version 1.2. You can create a conda environment to get started.

conda env create && \
  conda activate jupyterlab-extension-examples

jlpm
jlpm build-ext
jlpm link-ext
jlpm build-jlab
jupyter lab

To clean the lib folders:

jlpm clean-ext

Go to the example directory you want to install, e.g. cd ./basics/hello-world, and run the following commands:

jlpm install
jlpm run build
jupyter labextension link .

Rebuild the JupyterLab application:

jlpm run build
jupyter lab build

Start JupyterLab in watch mode:

jupyter lab --watch

Once your extension is published (outside of this scope), you can install it with the following command:

jupyter labextension install <published_extension>

JupyterLab can be used as a platform to combine existing data-science components into a new powerful application that can be deployed remotely to many users. Some of the higher level components that can be used are text editors, terminals, notebooks, interactive widgets, filebrowser, renderers for different file formats that provide access to an enormous ecosystem of libraries from different languages.

Complementary to these examples, you can rely on the official JupyterLab documentation.

• Extension Developer Guide
• Common Extension Points
• Astronomy Picture of the Day JupyterLab Extension

We would like to thank MMesch for initiating this work, as well as everyone else who contributed!