I am happy to announce the release of Bokeh version 0.4.2!
Check out the full documentation, interactive gallery, and tutorial at
If you are using Anaconda, you can install with conda:
conda install bokeh
Alternatively, you can install with pip:
pip install bokeh
Some of the new features in this release include:
* Additional Matplotlib and Seaborn compatibility (PolyCollection)
* Extensive tutorial with exercises and solutions added to docs
* new %bokeh magic for improved IPython notebook integration
* Windows support for bokeh-server with two new storage backends (in-memory and shelve)
Also, we've fixed lots of little bugs - see the CHANGELOG for full details.
Some examples of BokehJS use can be found on the Bokeh JSFiddle page:
The release of Bokeh 0.5 is planned for late March. Some notable features we plan to include are:
* Abstract Rendering for semantically meaningful downsampling of large datasets
* Better grid-based layout system, using Cassowary.js
* More MPL/Seaborn/ggplot.py compatibility and examples
* Additional tools, improved interactions, and better plot frame
* Touch support
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: bokeh@...4497...
Special thanks to recent contributors: Melissa Gymrek, Amy Troschinetz, Ben Zaitlen, Damian Avila, and Terry Jones
Bryan Van de Ven