Bokeh

<picture> <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/bokeh/pm/main/assets/logos/SVG/bokeh-logo-white-text-no-padding.svg"> <img src="https://raw.githubusercontent.com/bokeh/pm/main/assets/logos/SVG/bokeh-logo-black-text-no-padding.svg" alt="Bokeh logo -- text is white in dark theme and black in light theme" height=60/> </picture>

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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 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/-/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> <td> <a href="https://docs.bokeh.org/en/latest/"> <img src="https://img.shields.io/badge/documentation-latest-ECD078?style=for-the-badge" alt="Link to documentation" /> </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://img.shields.io/conda/d/conda-forge/bokeh?style=for-the-badge&logo=python&color=D98B43&logoColor=yellow" alt="Conda downloads per month" /> </a> </td> <td> <a href="https://www.npmjs.com/package/@bokeh/bokehjs"> <img src="https://img.shields.io/npm/dm/%40bokeh/bokehjs?style=for-the-badge&logo=npm&label=NPM&color=D98B43" alt="NPM 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/actions/workflow/status/bokeh/bokeh/bokeh-ci.yml?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/actions/workflow/status/bokeh/bokeh/bokehjs-ci.yml?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://img.shields.io/stackexchange/stackoverflow/t/%5Bbokeh%5D?style=for-the-badge&logo=stackoverflow&label=stackoverflow&color=blue" alt="Bokeh-tagged questions on Stack Overflow" /> </a> </td> </tr> </table>

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

Installation

To install Bokeh and its required dependencies using pip, enter the following command at a Bash or Windows command prompt:

pip install bokeh

To install using conda, enter the following command at a Bash or Windows command prompt:

conda 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 checkout the Bokeh tutorial repository 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 present and past monetary support from the organizations and companies listed below:

<table align="center"> <tr> <td> <a href="https://www.numfocus.org/"> <img src="https://static.bokeh.org/sponsor/numfocus.svg" alt="NumFocus Logo" width="200"/> </a> </td> <td> <a href="https://chanzuckerberg.com/"> <img src="https://static.bokeh.org/sponsor/czi.svg" alt="CZI Logo" width="200"/> </a> </td> <td colspan="2"> <a href="https://www.blackstone.com/the-firm/"> <img src="https://static.bokeh.org/sponsor/blackstone.png" alt="Blackstone Logo" width="400"/> </a> </td> </tr> <tr> <td> <a href="https://tidelift.com/"> <img src="https://static.bokeh.org/sponsor/tidelift.svg" alt="TideLift Logo" width="200"/> </a> </td> <td> <a href="https://www.anaconda.com/"> <img src="https://static.bokeh.org/sponsor/anaconda.png" alt="Anaconda Logo" width="200"/> </a> </td> <td> <a href="https://www.nvidia.com"> <img src="https://static.bokeh.org/sponsor/nvidia.png" alt="NVidia Logo" width="200"/> </a> </td> <td> <a href="https://developer.nvidia.com/rapids"> <img src="https://static.bokeh.org/sponsor/rapids.png" alt="Rapids Logo" width="200"/> </a> </td> </tr> </table>

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

Non-monetary support can help with development, collaboration, infrastructure, security, and vulnerability management. The Bokeh project is grateful to the following companies for their donation of services:

• Amazon Web Services
• GitGuardian
• GitHub
• makepath
• Pingdom
• Slack
• QuestionScout
• 1Password
• Digital Ocean