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Archived discussions · Captured October 28, 2026

ANN: Bokeh 1.1 Released

Community Support
Bryan
Bryan

On behalf of the Bokeh team I am pleased to announce the release of version 1.1 of Bokeh!

Please read all about it in the announcement post at:

  bokeh

If you are using Anaconda/miniconda, you can install it with conda:

  conda install -c bokeh bokeh

Alternatively, you can also install it with pip:

  pip install bokeh

Full information including details about how to use and obtain BokehJS are at:

  <no title> — Bokeh 2.4.2 Documentation

Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: GitHub - bokeh/bokeh: Interactive Data Visualization in the browser, from Python

Documentation is available at: https://bokeh.pydata.org

There are now 350 total contributors to Bokeh and their time and effort help make Bokeh such an amazing project and community. Thank you again for your contributions.

Finally, for questions or technical assistance we recommend starting with detailed posts on Stack Overflow. If you are interested in contributing, please come by the Bokeh dev chat room: https://gitter.im/bokeh/bokeh-dev

Thanks,

Bryan Van de Ven

⌁   Link to post

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