ANN: Bokeh 0.5.2 released!

Damian Avila damian.avila at continuum.io
Fri Aug 15 19:47:46 CEST 2014


On behalf of the Bokeh team, I am very happy to announce the release of
Bokeh version 0.5.2!

Bokeh is a Python library for visualizing large and realtime datasets on
the web.
Its goal is to provide to developers (and domain experts) with capabilities
to easily create novel and powerful visualizations that extract insight
from local or remote (possibly large) data sets, and to easily publish
those visualization to the web for others to explore and interact with.

This release includes many bug fixes and improvements over our last recent
0.5.1 release:

  * New Layout system using kiwi.js constraint solver
  * Improved automated testing infrastructure
  * Abstract Rendering testing, server-side downsample fixes and ISO
Contours
  * New “dashboard-like” example:
https://github.com/ContinuumIO/bokeh/blob/master/examples/app/applet/stock_example.py

See the CHANGELOG for full details.

In upcoming releases, you should expect to see new layout capabilities
(multiple axes, colorbar axes, better grid plots and improved annotations),
new tools, more widgets and more charts, as well as an Object Query API, R
language bindings, Blaze integration and cloud hosting for Bokeh apps.

Don't forget to 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-0.5.2.min.js
    http://cdn.pydata.org/bokeh-0.5.2.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: bokeh at continuum.io

If you have interest in helping to develop Bokeh, please get involved!

Cheers.

Damián.


More information about the Python-announce-list mailing list