A Jupyter extension for rendering Bokeh content.
- Jupyter Lab or Notebook
To install the latest version in Jupyter Lab:
conda install -c bokeh 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.xOn slow or limited memory systems, one can use --minimize=False to reduce compilation times or make Jupyter Lab build runtime bundles at all.
jupyter_bokeh is automatically installed in Jupyter Notebook. In case of a non-standard setup, one can install the extensions with:
jupyter nbextension install --sys-prefix --symlink --py jupyter_bokeh jupyter nbextension enable jupyter_bokeh --py --sys-prefixThe 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 and 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 |
For a development install (requires npm version 6 or later), do the following in the repository directory:
npm install jupyter labextension link .To rebuild the package and the JupyterLab app:
npm run build jupyter lab buildTo incrementally rebuild the extension and JupyterLab after changes you can run
npm run watchand in another terminal run
jupyter lab --watchWhen making a new release for compatibility with a new JupyterLab minor release series, please make a minor release bump in this extension (i.e. 0.6.3 -> 0.7.0). Conversely, when creating a release for a new feature or bug fix, please make a micro release bump (i.e. 0.6.3 -> 0.6.4).
There is a directory named examples which contains a collection of notebooks that cover the various jupyter_bokeh functionalities. If you update the extension for new JupyterLab releases, please manually execute each and check that the expected behavior occurs. If you extend the jupyter_bokeh, please add a new notebook that covers the new functionality.