I am very happy to announce the release of Bokeh version 0.5! 
(http://continuum.io/blog/bokeh-0.5)

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

This release includes many new features: weekly dev releases, a new plot frame, 
a click tool, "always on" hover tool, multiple axes, log axes, minor ticks, 
gears and gauges glyphs, and an NPM BokehJS package. Several usability 
enhancements have been made to the plotting.py interface to make it even easier 
to use. The Bokeh tutorial also now includes exercises in IPython notebook 
form. Of course, we've made many little bug fixes - see the CHANGELOG for full 
details.

The biggest news is all the long-term and architectural goals landing in Bokeh 
0.5:

    * Widgets! Build apps and dashboards with Bokeh
    * Very high level bokeh.charts interface
    * Initial Abstract Rendering support for big data visualizations
    * Tighter Pandas integration
    * Simpler, easier plot embedding options

Expect dynamic, data-driven layouts, including ggplot style auto-faceting in 
upcoming releases, as well as R language bindings, more statistical plot types 
in bokeh.charts, and cloud hosting for Bokeh apps.

Check out the full documentation, interactive gallery, and tutorial at

    http://bokeh.pydata.org

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

    
http://nbviewer.ipython.org/github/ContinuumIO/bokeh-notebooks/blob/master/index.ipynb

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 applications:

    http://cdn.pydata.org/bokeh-0.5.min.js
    http://cdn.pydata.org/bokeh-0.5.min.css

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: bo...@continuum.io

If you have interest in helping to develop Bokeh, please get involved! Special 
thanks to recent contributors: Tabish Chasmawala, Samuel Colvin, Christina 
Doig, Tarun Gaba, Maggie Mari, Amy Troschinetz, Ben Zaitlen.

Bryan Van de Ven
Continuum Analytics
http://continuum.io
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