On behalf of the Bokeh team, I am very happy to announce the release of Bokeh version 0.5.1! (http://continuum.io/blog/bokeh-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 apps.
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
Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/continuumio/bokeh
Questions can be directed to the Bokeh mailing list: [email protected]
If you have interest in helping to develop Bokeh, please get involved!