Awesome

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics and affords high-performance interactivity across large or streaming datasets. Bokeh can help anyone who wants to create interactive plots, dashboards, and data applications quickly and easily.

<table> <tr> <td>Package</td> <td> <img src="https://img.shields.io/pypi/v/bokeh?label=Version&color=ECD078&style=for-the-badge" alt="Latest package version" /> </td> <td> <a href="https://docs.bokeh.org/en/latest/docs/first_steps/installation.html"> <img src="https://img.shields.io/pypi/pyversions/bokeh?color=ECD078&style=for-the-badge" alt="Supported Python versions" /> </a> </td> <td> <a href="https://github.com/bokeh/bokeh/blob/main/LICENSE.txt"> <img src="https://img.shields.io/github/license/bokeh/bokeh.svg?color=ECD078&style=for-the-badge" alt="Bokeh license (BSD 3-clause)" /> </a> </td> </tr> <tr> <td>Project</td> <td> <img src="https://img.shields.io/github/contributors-anon/bokeh/bokeh?color=ECD078&style=for-the-badge" alt="Github contributors" /> </td> <td> <a href="https://numfocus.org"> <img src="https://img.shields.io/badge/sponsor-numfocus-ECD078?style=for-the-badge" alt="Link to NumFOCUS" /> </a> </td> </tr> <tr> <td>Downloads</td> <td> <a href="https://docs.bokeh.org/en/latest/docs/first_steps/installation.html"> <img src="https://img.shields.io/pypi/dm/bokeh?color=D98B43&label=pypi&logo=python&logoColor=yellow&style=for-the-badge" alt="PyPI downloads per month" /> </a> </td> <td> <a href="https://docs.bokeh.org/en/latest/docs/first_steps/installation.html"> <img src="https://raw.githubusercontent.com/bokeh/badges/main/cache/bokeh-conda-monthly.svg" alt="Conda downloads per month" /> </a> </td> </tr> <tr> <td>Build</td> <td> <a href="https://github.com/bokeh/bokeh/actions"> <img src="https://img.shields.io/github/workflow/status/bokeh/bokeh/Bokeh-CI/branch-3.0?label=Bokeh-CI&logo=github&style=for-the-badge" alt="Current Bokeh-CI github actions build status" /> </a> </td> <td> <a href="https://github.com/bokeh/bokeh/actions"> <img src="https://img.shields.io/github/workflow/status/bokeh/bokeh/BokehJS-CI/branch-3.0?label=BokehJS-CI&logo=github&style=for-the-badge" alt="Current BokehJS-CI github actions build status" /> </a> </td> <td> <a href="https://codecov.io/gh/bokeh/bokeh" > <img src="https://img.shields.io/codecov/c/github/bokeh/bokeh?logo=codecov&style=for-the-badge&token=bhEzGkDUaw" alt="Codecov coverage percentage" /> </a> </td> </tr> <tr> <td>Community</td> <td> <a href="https://discourse.bokeh.org"> <img src="https://img.shields.io/discourse/https/discourse.bokeh.org/posts.svg?color=blue&logo=discourse&style=for-the-badge" alt="Community support on discourse.bokeh.org" /> </a> </td> <td> <a href="https://stackoverflow.com/questions/tagged/bokeh"> <img src="https://raw.githubusercontent.com/bokeh/badges/main/cache/bokeh-stackoverflow-total.svg" alt="Bokeh-tagged questions on Stack Overflow" /> </a> </td> <td> <a href="https://twitter.com/bokeh"> <img src="https://img.shields.io/twitter/follow/bokeh?color=blue&logo=twitter&style=for-the-badge" alt="Follow Bokeh on Twitter" /> </a> </td> </tr> </table>

Consider making a donation if you enjoy using Bokeh and want to support its development.

4x9 image grid of Bokeh plots

Installation

To install Bokeh and its required dependencies using conda, 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

Refer to the installation documentation for more details.

Resources

Once Bokeh is installed, check out the first steps guides.

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 Contributor Guide and request an invitation to the Bokeh Dev Slack workspace.

Note: Everyone who engages in the Bokeh project's discussion forums, codebases, and issue trackers is expected to follow the Code of Conduct.

Support

Fiscal Support

The Bokeh project is grateful for individual contributions, as well as for monetary support from the organizations and companies listed below:

If your company uses Bokeh and is able to sponsor the project, please contact <a href="info@bokeh.org">info@bokeh.org</a>

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.

In-kind Support