Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications.
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If you like Bokeh and would like to support our mission, please consider making a donation.
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The easiest way to install Bokeh is using the Anaconda Python distribution and its included Conda package management system. To install Bokeh and its required dependencies, enter the following command at a Bash or Windows command prompt:
conda install bokeh
To install using pip, enter the following command at a Bash or Windows command prompt:
pip install bokeh
For more information, refer to the installation documentation.
Once Bokeh is installed, check out the Getting Started section of the Quickstart guide.
Visit the full documentation site to view the User's Guide or launch the Bokeh tutorial to learn about Bokeh in live Jupyter Notebooks.
Community support is available on the Project Discourse.
If you would like to contribute to Bokeh, please review the Developer Guide and say hello on the Zulip Chat for Developers.
Follow us on Twitter @bokeh
The Bokeh project is grateful for individual contributions as well as sponsorship by the organizations and companies below:
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If your company uses Bokeh and is able to sponsor the project, please contact [email protected]
Bokeh is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. NumFOCUS provides Bokeh with fiscal, legal, and administrative support to help ensure the health and sustainability of the project. Visit numfocus.org for more information.
Donations to Bokeh are managed by NumFOCUS. For donors in the United States, your gift is tax-deductible to the extent provided by law. As with any donation, you should consult with your tax adviser about your particular tax situation.