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.

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名称与所有者bokeh/bokeh
主编程语言TypeScript
编程语言Python (语言数: 8)
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许可证BSD 3-Clause "New" or "Revised" License
所有者活动
创建于2012-03-26 15:40:01
推送于2025-05-05 13:55:25
最后一次提交
发布数144
最新版本名称3.7.2 (发布于 2025-03-28 07:19:19)
第一版名称0.1.0 (发布于 2013-09-03 18:04:02)
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