Bokeh (Beta)

Beta: Please note that Bokeh support is a beta feature which is still undergoing final testing before its official release. Should you encounter any bugs, glitches, lack of functionality or other problems, please let us know so we can improve before public release.

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications.

• Bokeh Documentation
• Bokeh App Gallery
• Bokeh Source

Deploying

Bokeh apps can be deployed with the rsconnect-python package. See the Publishing with rsconnect-python section for details.

Example apps

Source code for the Bokeh gallery apps is in the Bokeh github repository.

Clone the bokeh repository:

git clone https://github.com/bokeh/bokeh
cd bokeh/examples/app/

Follow the app's README instructions to install any necessary dependencies. Run the app locally:

bokeh serve --show <app-name>

Then deploy to RStudio Connect:

rsconnect deploy bokeh -n <saved server name> --entrypoint main.py ./<app-name>