ANN: Bokeh 0.10.0 released!

Hi all,

On behalf of the Bokeh team, I am excited to announce the release of version 0.10.0 of Bokeh, an interactive web plotting library for Python… and other languages!

This release was focused into provide several new features such as webgl support, a new refactored and more powerful chart interface and responsive plots. But we are also shipping a lot of bug-fixes and enhancements in our documentation, testing and build machineries and examples.

Some of the highlights from this release are:

  • Initial webgl support (check our new examples: maps city, iris blend, scatter 10K, clustering.py)

  • New charts interface supporting aggregation (see our new Bars, BoxPlot, Histogram and Scatter examples)

  • Responsive plots

  • Lower-level jsresources & cssresources (allow more subtle uses of resources)

  • Several test machinery fixes

  • Several build machinery enhancements

  • More pytest-related fixes and enhancements

  • More docs fixes and enhancements

  • Now the glyph methods return the glyph renderer (not the plot)

  • Gmap points moves consistently

  • Added alpha control for imageurl objects

  • Removed python33 testing and packaging

  • Removed multiuserblazeserver

See the CHANGELOG for full details.

If you are using Anaconda/miniconda, you can install it with conda:

conda install bokeh

or directly from our Anaconda Cloud main channel with:

conda install -c bokeh bokeh

Alternatively, you can also install it with pip:

pip install bokeh

If you want to use Bokeh in standalone Javascript applications, BokehJS is available by CDN at:

Additionally, 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

Documentation is available at http://bokeh.pydata.org/en/0.10.0

Questions can be directed to the Bokeh mailing list: [email protected]

We also have a new “general” channel available at Slack: https://bokehplots.slack.com/

Note: This is an unsupported place where users can congregate and self-support or share experiences.

The supported place by default is the Bokeh mailing list.

Cheers.

···


Damián Avila

Software Developer

@damian_avila

[email protected]

+5492215345134 | cell (ARG)