A Jupyter extension for rendering Bokeh content.
For versions 3.0 and newer of JupyterLab, you have the option to install
jupyter_bokeh with either
pip install jupyter_bokeh
conda install -c conda-forge jupyter_bokeh
For versions of Jupyter Lab older than 3.0, you must install the labextension separately:
conda install -c conda-forge jupyter_bokeh jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter labextension install @bokeh/jupyter_bokeh
To install a specific version:
jupyter labextension install @firstname.lastname@example.org
Our goal is that
jupyter_bokeh minor releases (using the SemVer pattern) are
made to follow JupyterLab minor release bumps, while micro releases are for new
or bug fix releases. We've been previously inconsistent with having the extension release minor version bumps
track that of JupyterLab, so users seeking to find extension releases that are compatible with their JupyterLab
installation may refer to the below table.
Compatible JupyterLab and
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 jupyter_bokeh 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 jupyter_bokeh
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