# bokeh **Repository Path**: mirrors/bokeh ## Basic Information - **Project Name**: bokeh - **Description**: Interactive Data Visualization in the browser, from Python - **Primary Language**: Unknown - **License**: BSD-3-Clause - **Default Branch**: branch-3.9 - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 15 - **Forks**: 0 - **Created**: 2017-04-02 - **Last Updated**: 2026-02-14 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README Bokeh logo -- text is white in dark theme and black in light theme ---- [Bokeh](https://bokeh.org) 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.
Package Latest package version Supported Python versions Bokeh license (BSD 3-clause)
Project Github contributors Link to NumFOCUS Link to documentation
Downloads PyPI downloads per month Conda downloads per month NPM downloads per month
Build Current Bokeh-CI github actions build status Current BokehJS-CI github actions build status Codecov coverage percentage
Community Community support on discourse.bokeh.org Bokeh-tagged questions on Stack Overflow
*Consider [making a donation](https://opencollective.com/bokeh) if you enjoy using Bokeh and want to support its development.* ![4x9 image grid of Bokeh plots](https://user-images.githubusercontent.com/1078448/190840954-dc243c99-9295-44de-88e9-fafd0f4f7f8a.jpg) ## 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](https://docs.bokeh.org/en/latest/docs/first_steps/installation.html) for more details. ## Resources Once Bokeh is installed, check out the [first steps guides](https://docs.bokeh.org/en/latest/docs/first_steps.html#first-steps-guides). Visit the [full documentation site](https://docs.bokeh.org) to view the [User's Guide](https://docs.bokeh.org/en/latest/docs/user_guide.html) or [checkout the Bokeh tutorial repository](https://github.com/bokeh/tutorial/) to learn about Bokeh in live Jupyter Notebooks. Community support is available on the [Project Discourse](https://discourse.bokeh.org). If you would like to contribute to Bokeh, please review the [Contributor Guide](https://docs.bokeh.org/en/latest/docs/dev_guide.html) and [request an invitation to the Bokeh Dev Slack workspace](https://slack-invite.bokeh.org/). *Note: Everyone who engages in the Bokeh project's discussion forums, codebases, and issue trackers is expected to follow the [Code of Conduct](https://github.com/bokeh/bokeh/blob/HEAD/docs/CODE_OF_CONDUCT.md).* ## Support ### Fiscal Support The Bokeh project is grateful for [individual contributions](https://opencollective.com/bokeh), as well as for present and past monetary support from the organizations and companies listed below:
NumFocus Logo CZI Logo Blackstone Logo
TideLift Logo Anaconda Logo NVidia Logo Rapids Logo
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](https://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](https://aws.amazon.com/) * [GitGuardian](https://gitguardian.com/) * [GitHub](https://github.com/) * [makepath](https://makepath.com/) * [Pingdom](https://www.pingdom.com/website-monitoring) * [Slack](https://slack.com) * [QuestionScout](https://www.questionscout.com/) * [1Password](https://1password.com/) * [Digital Ocean](https://www.digitalocean.com)