Bokeh is a fiscally sponsored project of NumFOCUS, a nonprofit dedicated to supporting the open source scientific computing community. If you like Bokeh and want to support our mission, please consider making a donation to support our efforts.
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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 versatile graphics in the, while also delivering high-performance interactivity over very large or streaming datasets.
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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, or launch the Bokeh tutorial in live Jupyter Notebooks
To contribute to Bokeh, please review the Developer Guide.
Follow us on Twitter @bokehplots and on YouTube.
