Contributing¶

We are always looking for contributors, and want grow the developer/contributor base for Bokeh.

If you are the author of an existing plotting library and would like your interfaces to generate output that can be rendered by the BokehJS runtime, take a look through the Developer Guide and we’d love to help you out.

If you have a data API or other web-based tool that you think would be great to have available by default in Bokeh, we would be excited to make it available as a plug-in in Bokeh.

If you are a JavaScript developer and want to help us make Bokeh easier to use on the JavaScript side, and plug in more nicely with libraries like React, please get in touch.

If you are a designer and you want to help us build out a great set of default styles for our plots, we can definitely use your help!

And lastly, if you have built a nice plot or live visualization app with Bokeh and want us to showcase it in our user-submitted gallery, let us know!

Specific areas we’d like to get help on:

• Mobile & touch platforms
• IE support
• Interactive widget library
• Designs & styling
• Canvas performance optimization
• Connectors to various data APIs (public data or even commercial software suites)

Bokeh Development Team (2014). Bokeh: Python library for interactive visualization
URL http://www.bokeh.pydata.org.

@Manual{,
title = {Bokeh: Python library for interactive visualization},
author = {{Bokeh Development Team}},
year = {2014},
url = {http://www.bokeh.pydata.org},
}