jupyter_bokeh

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.

Prerequisites

• Jupyter Lab or Notebook

Installation

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_bokeh

To install a specific version:

jupyter labextension install @bokeh/jupyter_bokeh@x.y.x

On 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-prefix

Compatibility

The 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.

Compatible JupyterLab and jupyter_bokeh versions

Development

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 build

To incrementally rebuild the extension and JupyterLab after changes you can run

npm run watch

and in another terminal run

jupyter lab --watch

When 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).

Testing

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.