Google AI ModeSep 2, 2026
A DIY approach using Python's umap-learn paired with Plotly or Bokeh gives you complete programmatic control over dimensions, coloring, and hover-tooltips.
Data as of Oct 16, 2026Based on 3,098 AI responses
Reviewed by Dimitry Apollonsky
AI summary
Bokeh is an open-source Python library used to create interactive, shareable plots, dashboards, and apps for web browsers or Jupyter notebooks.
<1%
of 3,098 answers across Bokeh’s markets · since Jul 5
The market map
Dashboard Charting LibrariesMentioned in
Each engine’s share of its own answers across Bokeh’s markets · since Jul 5
This page was cited in 2 AI answers that named Bokeh.
Review how this page presents the business before deciding whether to contact its publisher. The citation evidence does not establish that the page mentions the brand or needs a correction.
All-time evidence through 2026-10-16.
Review the page on youtube.com (opens in a new tab)Where Bokeh ranks in AI
Question: I'm looking for a way to visualize my high-dimensional embedding space. What's the best embedding visualization and exploration tool?
Google AI ModeAug 21, 2026
DIY (UMAP + Plotly / Bokeh) — Best for custom, one-off notebook analyses
Question: What is the best library or tool for creating advanced, custom data visualizations in our BI dashboards?
Google AI ModeJul 14, 2026
while Bokeh is best for high-performance interactive visuals in web browsers.
bokeh.org 0%Other sites 100%
Excerpts where Bokeh appeared in the AI's answer
while Bokeh is best for high-performance interactive visuals in web browsers.
Excerpts where Bokeh appeared in the AI's answer
A DIY approach using Python's umap-learn paired with Plotly or Bokeh gives you complete programmatic control over dimensions, coloring, and hover-tooltips.
DIY (UMAP + Plotly / Bokeh) — Best for custom, one-off notebook analyses