Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this
Bokehbokeh.orgBokeh is an open-source Python library that makes it easy to create interactive, shareable plots, dashboards, and apps that can be published in web pages or Jupyter notebooks. It provides interactive tools and a Bokeh server to connect Python analytics (NumPy, Pandas, Scikit-Learn, Dask, and more) to rich browser-based visualizations, with streaming support and the option to embed in web apps or templates, plus the ability to add custom JavaScript for advanced use cases. The project is BSD-licensed, fiscally sponsored by NumFOCUS, and supported by an ecosystem of related tools and community resources.
Parse Score
Sources
youtube.com shapes more of what AI says about Bokeh than any other source, at 67% of its citations.
toxigon.com
Excerpts where Bokeh appeared in the AI's answer
Bokeh: Excellent for creating interactive scatter plots where you can hover over points to view images, text, or metadata
Bokeh : A Python library excellent for creating highly custom, interactive scatter plots with thumbnail images of data points, useful for image or document datasets.
