A JupyterLab extension to communicate between a host page and a Jupyter instance running in an iframe.
- type: go-to-cell-index
- targetCellIndex: [number]
'{"type": "go-to-cell-index", "targetCellIndex": 0}'
- type: go-to-cell-metadata
- targetMetadataKey: [string]
- targetMetadataValue: [string]
'{"type": "go-to-cell-metadata", "targetMetadataKey": "custom_key", "targetMetadataValue": "custom_value"}'
If the current theme is JupyterLab Light
, it switches the theme to JupyterLab Dark
, and vice versa.
- type: toggle-theme
'{"type": "toggle-theme"}'
TODO
- JupyterLab >= 4.0
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 useyarn
ornpm
in lieu ofjlpm
below.
# Clone this repo to your local environment
# Change directory to the cloned 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).
Run the example frontend host with an iframe containing a Jupyter Notebook:
cd example/
python -m http.server 8000
- Update version in
package.json
- Run
jlpm run build
- Run
hatch build
andhatch publish
Delete the extension folder direction from the installation directory:
cd /Users/{USER}/.venv/share/jupyter/labextensions/jupyterlab-notebook-messages
pip install jupyterlab-notebook-messages
Refused to frame because an ancestor violates the following Content Security Policy directive: "frame-ancestors 'self'".
Create a default config file:
jupyter notebook --generate-config
then add a new header at the end of the file:
# show all Jupyter paths
jupyter --paths
nano jupyter_notebook_config.d
c.NotebookApp.tornado_settings={'headers': {'Content-Security-Policy': "frame-ancestors self *"}}