bokeh

Interactive Web Plotting for Python

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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.

If you like Bokeh and would like to support our mission, please consider making a donation.

Installation

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.

Resources

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

Follow us on Twitter @bokeh

Sponsors

The Bokeh project is grateful for individual contributions as well as sponsorship by the organizations and companies below:

If your company uses Bokeh and is able to sponsor the project, please contact info@bokeh.org

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.

Security

To report a security vulnerability, please use the Tidelift security contact.
Tidelift will coordinate the fix and disclosure.

Main metrics

Overview
Name With Ownerbokeh/bokeh
Primary LanguageTypeScript
Program languagePython (Language Count: 8)
Platform
License:BSD 3-Clause "New" or "Revised" License
所有者活动
Created At2012-03-26 15:40:01
Pushed At2025-04-20 21:23:44
Last Commit At
Release Count144
Last Release Name3.7.2 (Posted on 2025-03-28 07:19:19)
First Release Name0.1.0 (Posted on 2013-09-03 18:04:02)
用户参与
Stargazers Count19.8k
Watchers Count434
Fork Count4.2k
Commits Count20.8k
Has Issues Enabled
Issues Count7912
Issue Open Count773
Pull Requests Count5498
Pull Requests Open Count48
Pull Requests Close Count781
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Has Wiki Enabled
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Is Private