ANN: Bokeh 0.5.1 released

Damian Avila damian.avila at
Thu Jul 24 23:06:42 CEST 2014

On behalf of the Bokeh team, I am very happy to announce the release of
Bokeh version 0.5.1! (

Bokeh is a Python library for visualizing large and realtime datasets on
the web.

This release includes many bug fixes and improvements over our last recent
0.5 release:

  * Hover activated by default
  * Boxplot in bokeh.charts
  * Better messages when you forget to start the bokeh-server
  * Fixed some packaging bugs
  * Fixed NBviewer rendering
  * Fixed some Unicodeencodeerror

See the CHANGELOG for full details.

In upcoming releases, you should expect to see dynamic, data-driven layouts
(including ggplot-style auto-faceting), as well as R language bindings,
more statistical plot types in bokeh.charts, and cloud hosting for Bokeh

Don't forget to check out the full documentation, interactive gallery, and
tutorial at

as well as the new Bokeh IPython notebook nbviewer index (including all the
tutorials) at:

If you are using Anaconda, you can install with conda:

    conda install bokeh

Alternatively, you can install with pip:

    pip install bokeh

BokehJS is also available by CDN for use in standalone javascript

Issues, enhancement requests, and pull requests can be made on the Bokeh Github

Questions can be directed to the Bokeh mailing list: bokeh at

If you have interest in helping to develop Bokeh, please get involved!


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