![]() ![]() ![]() ![]() If your company uses Bokeh and is able to sponsor the project, please contact īokeh is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. The Bokeh project is grateful for individual contributions, as well as for monetary support from the organizations and companies listed below: Follow usįollow us on Twitter Support Fiscal Support Note: Everyone who engages in the Bokeh project's discussion forums, codebases, and issue trackers is expected to follow the Code of Conduct. If you would like to contribute to Bokeh, please review the Contributor Guide and request an invitation to the Bokeh Dev Slack workspace. Visit the full documentation site to view the User's Guide or launch the Bokeh tutorial to learn about Bokeh in live Jupyter Notebooks.Ĭommunity support is available on the Project Discourse. Once Bokeh is installed, check out the first steps guides. Refer to the installation documentation for more details. To install conda, enter the following command at a Bash or Windows command prompt: conda install bokeh To install Bokeh and its required dependencies using pip, enter the following command at a Bash or Windows command prompt: pip install bokeh 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.Ĭonsider making a donation if you enjoy using Bokeh and want to support its development. Bokeh is an interactive visualization library for modern web browsers. ![]()
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