Hi all,
We are excited to announce the release of version *0.9.0* of Bokeh, an
interactive web plotting library for Python... and other languages!
This release was focused into allow sophisticated interactions in static
plots, a complete rewrite of the User guide and big BokehJS refactoring
switching to use broswerify.
Some of the highlights are:
* Callback Action, serverless interactivity in static plots
* Hover inspection along lines
* Client side LOD downsampling for interactive tools
* Full User guide rewrite
* Reduce BokehJS boilerplate and switch to use browserify
* Several example bugfixes
See the CHANGELOG for full details.
If you are using Anaconda/miniconda, you can install with conda:
* conda install bokeh*
or directly from our Binstar main channel with:
* conda install -c bokeh 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
<http://bokeh.pydata.org/en/latest/docs/installation.html#developer-builds>
section in the documentation for more details.
BokehJS is also available by CDN for use in standalone Javascript
applications:
* http://cdn.pydata.org/bokeh/release/bokeh-0.9.0.min.js
* http://cdn.pydata.org/bokeh/release/bokeh-0.9.0.min.css
Finally, BokehJS is also installable with the Node Package Manager at
https://www.npmjs.com/package/bokehjs
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: bo...@continuum.io
Cheers.
--
*Damián Avila*
*Continuum Analytics*
*damian.av...@continuum.io <damian.av...@continuum.io>*
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