We are excited to announce the release of version 0.8 of Bokeh, an interactive web plotting library for Python... and other languages! This release includes many major new features:
* More bokeh-server features geared towards production deployments
* Live gallery of server examples and apps!
* Simpler, more easily extensible design for charts API, plus new Horizon chart
* New build automation and substantial documentation improvements
* Shaded grid bands, configurable hover tool, and pan/zoom for categorical plots
* Improved and more robust crossfilter application
* AjaxDataSource for clients to stream data without a Bokeh server
In addition, many smaller bugfixes and features, both old and new---over 100 issues---were closed for this release! See the CHANGELOG for full details.
Perhaps the biggest news of this release is the long awaited arrival of rbokeh (https://github.com/bokeh/rbokeh), which brings native bindings for Bokeh to the R language. You see more details and examples about the release at: http://continuum.io/blog/bokeh-0.8
If you are using Anaconda, you can install with conda:
conda install bokeh
Alternatively, you can install with pip:
pip install bokeh
Developer builds are also now made available to get features in the hands of interested users more quickly. See the Developer Builds section in the documentation for more details.
Please note that the file layout on CDN has changed slightly (however all older releases will always be available at their original locations).
Finally, BokehJS is also installable with the Node Package Manager
Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/bokeh/bokeh
Questions can be directed to the Bokeh mailing list: [email protected]
Thank you for your attention!
Bryan Van de Ven