Bokeh
bokeh.org
Spec sheet
- What it does
- Bokeh is a Python library for interactive plots and data applications in modern web browsers.Read 9 Oct 2026 · bokeh.org
- Free plan
- YesRead 20 Sep 2026 · bokeh.org
- Integrations
- The site describes using Bokeh in Jupyter and mounting it in FastAPI, Starlette, Django, or another ASGI app served with Uvicorn or Hypercorn.Read 9 Oct 2026 · bokeh.org
- Support
- Support is volunteer-based, and the project directs usage questions to its public Discourse forum.Read 9 Oct 2026 · bokeh.org
- License
- The project describes Bokeh as BSD licensed.Read 9 Oct 2026 · bokeh.org
- APIs
- Bokeh offers high-level plotting tools and lower-level layouts, widgets, annotations, models, themes, and extensions.Read 9 Oct 2026 · bokeh.org
- Browser interaction
- Plots include tools for pan, zoom, hover, selection, linking, filtering, and editable data.Read 9 Oct 2026 · bokeh.org
- Bug reports
- The project directs bug reports and feature requests to its GitHub issue tracker.Read 9 Oct 2026 · bokeh.org
- Dashboard type
- interactiveRead 20 Sep 2026 · bokeh.org
- Data handling
- Users can stream or patch data without replacing the full data source, and supported glyphs can use WebGL acceleration.Read 9 Oct 2026 · bokeh.org
- Data sources
- Python lists,NumPy arrays,ColumnDataSource,pandas DataFrames,Polars DataFrames,PyArrow DataFrames,pandas GroupBy objects,REST endpointsRead 20 Sep 2026 · bokeh.org
- Embedded dashboards
- YesRead 20 Sep 2026 · bokeh.org
- No JavaScript required
- The site describes Bokeh as Python-native and says users can build JavaScript-powered visualizations without writing JavaScript themselves.Read 9 Oct 2026 · bokeh.org
- Platform
- web_and_desktopRead 20 Sep 2026 · bokeh.org
- Project stewardship
- Bokeh is a fiscally sponsored NumFOCUS project built and maintained by contributors on GitHub.Read 9 Oct 2026 · bokeh.org
- Publishing
- Plots can be shown in notebooks, saved as standalone HTML, embedded in a web app, or served with Bokeh server.Read 9 Oct 2026 · bokeh.org
- Scheduled refresh
- YesRead 20 Sep 2026 · bokeh.org
- Security and compliance
- The official pages opened describe the BSD license and Code of Conduct but make no security or compliance certification claim.Read 9 Oct 2026 · bokeh.org
Plans and prices
Bokeh Free Open-source Python library · BSD licensed Read 9 Oct 2026 · bokeh.org
Where Specifiction places it
- Data Visualization Libraries Software#5 of 238.4
- Data Visualization Software#32 of 988.3