Interactive Web Plotting for Python
Python CoffeeScript CSS HTML TypeScript Shell Other
Latest commit 0a4c596 Aug 24, 2016 @brittainhard brittainhard committed on GitHub Merge pull request #4921 from bokeh/bhard/parse_modules
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Bokeh, a Python interactive visualization library, enables beautiful and meaningful visual presentation of data in modern web browsers. With Bokeh, you can quickly and easily create interactive plots, dashboards, and data applications.

Bokeh helps provide elegant, concise construction of novel graphics in the style of D3.js, while also delivering high-performance interactivity over very large or streaming datasets.

Interactive gallery

image anscombe stocks lorenz candlestick scatter splom
iris histogram periodic choropleth burtin streamline image_rgba
stacked quiver elements boxplot categorical unemployment les_mis


We recommend using the Anaconda Python distribution and conda to install Bokeh. Enter this command at a Bash or Windows command prompt:

conda install bokeh

This installs Bokeh and all needed dependencies.

To begin using Bokeh or to install using pip, follow the Quickstart documentation.


Visit the Bokeh web page for information and full documentation.

Contribute to Bokeh

To contribute to Bokeh, please review the Developer Guide.

Follow us

Follow us on Twitter @bokehplots, on Vine, and on YouTube.