Hi all, We are excited to announce the release of version 0.8.1 of Bokeh, an interactive web plotting library for Python... and other languages! This minor release includes many bug fixes and docs improvements: * Fixed HoverTool * Fixed Abstract Rendering implementation and docs * Fixed Charts gallery and docs * Removed leftovers from the old plotting API implementation * Some other minor docs fixes See the CHANGELOG for full details. If you are using Anaconda/minoconda, 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 <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-0.8.1.min.js * http://cdn.pydata.org/bokeh/release/bokeh-0.8.1.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: bokeh@continuum.io Cheers! -- *Damián Avila* *Continuum Analytics* *damian.avila@continuum.io <damian.avila@continuum.io>*