Snippets Extension for JupyterLab.
This extension is composed of a Python package named
for the server extension and a NPM package named
for the frontend extension.
- JupyterLab >= 2.0
conda install -c conda-forge jupyterlab-snippets
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: https://jupyter.readthedocs.io/en/latest/projects/jupyter-directories.html#id2)
To find the Jupyter data directory, run:
$ jupyter --path
This will for example show the following list on macOS:
config: /Users/<username>/.jupyter ... data: /Users/<username>/Library/Jupyter /Users/<username>/miniconda3/envs/<envname>/share/jupyter ... runtime: ...
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:
Convert snippets from jupyter-boilerplate format
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
Note: You will need NodeJS to build the extension package.
jlpm command is JupyterLab's pinned version of
yarn that is installed with JupyterLab. You may use
npm in lieu of
# 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