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Snippets Extension for JupyterLab

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Snippets Extension for JupyterLab.

This extension is composed of a Python package named jupyterlab-snippets for the server extension and a NPM package named jupyterlab-snippets for the frontend extension.


  • JupyterLab >= 2.0
  • Node.js


Using conda:

conda install -c conda-forge jupyterlab-snippets

Using pip:

pip install jupyterlab-snippets

If you use JupyterLab 2.x, you will have to rebuild JupyterLab with:

jupyter lab build


Add snippets in [jupyter_data_dir]/snippets (see:

To find the Jupyter data directory, run:

$ jupyter --path

This will for example show the following list on macOS:


Use the first directory listed under data: to add files to, these become snippets in the menu. Each file contains one snippet. Directories can be used to organize the snippet files and will become submenu's in the menu.

In JupyterLab, use the "Snippets" menu to select the snippet:

Schermafbeelding 2020-03-30 om 17 25 31

Convert snippets from jupyter-boilerplate format

See jupyter-boilerplate-converter on how to convert snippets from the jupyter-boilerplate classic notebook extension (not available for JupyterLab) to jupyterlab-snippets.


If you are seeing the frontend extension but it is not working, check that the server extension is enabled:

jupyter serverextension list

If the server extension is installed and enabled but you are not seeing the frontend, check the frontend extension is installed and enabled:

jupyter labextension list

If it is installed, try:

jupyter lab clean
jupyter lab build

Development Install

Note: You will need NodeJS to build the extension package.

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the jupyterlab-snippets directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run build

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 extension.

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

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the jlpm run build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

jupyter lab build --minimize=False


pip uninstall jupyterlab-snippets

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