A Jupyter extension for rendering Bokeh content within Jupyter. See also the separate ipywidgets_bokeh library for support for using Jupyter widgets/ipywidgets objects within Bokeh applications.
For versions 3.0 and newer of JupyterLab, you have the option to install
jupyter_bokeh with either pip or conda:
pip install jupyter_bokehor
conda install -c conda-forge jupyter_bokehFor 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_bokehTo install a specific version:
jupyter labextension install @bokeh/jupyter_bokeh@x.y.xThe core Bokeh library is generally version independent of
JupyterLab and this jupyter_bokeh extension
for versions of bokeh>=2.0.0.
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 jupyter_bokeh features
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.
| JupyterLab | jupyter_bokeh |
|---|---|
| 0.34.x | 0.6.2 |
| 0.35.x | 0.6.3 |
| 1.0.x | 1.0.0 |
| 2.0.x | 2.0.0 |
| 3.0.x | 3.0.0 |
| 4.0.x | 4.0.0 |
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 use
yarn or npm in lieu of jlpm below.
# 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 buildYou 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 labWith 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=Falsepip uninstall jupyter_bokeh