Ross ROSS = Recommend OSS · open-source software intelligence for agents

bokeh/bokeh

Interactive Data Visualization in the browser, from Python observed · 2026-08-28

github.com/bokeh/bokeh · homepage · Python · BSD-3-Clause (permissive) observed · 2026-08-28

Health v2 · maintenance only

77/100

  • Activity 99
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 5273
  • days_rel: n/a
  • days_push: 7
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

20435 stars · 4259 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Bokeh is a Python library for creating interactive data visualizations, plots, and dashboards that render in modern web browsers without writing JavaScript. It supports standalone HTML output, Jupyter notebook embedding, and Python-backed server applications with live callbacks.

Use cases

  • create interactive charts from python
  • build dashboards in python
  • plot data in jupyter notebooks
  • visualize large or streaming datasets in the browser
  • embed interactive plots in a web page
  • make choropleth maps from python
  • add python callbacks to web visualizations

When to choose

  • you want interactive, browser-based plots from Python without JavaScript
  • you need dashboards or data apps with Python callbacks via Bokeh server or ASGI integration
  • you work in Jupyter and want inline interactive visualizations
  • you need to handle large or streaming datasets with pan, zoom, and hover tools

When to avoid

  • you only need quick static charts for a report (matplotlib or seaborn may be simpler)
  • you need publication-quality print figures rather than web interactivity
  • you want a full-featured web application framework beyond data apps

Facets

library · maturity stable

data-visualization charts web-framework data-visualization data-science web-development analytics python browser cross-platform interactive-plots jupyter dashboards bokeh-server numfocus streaming-data web-server

10 sources

Member repositories

RepositoryRoleHealth v2
bokeh/bokehmain77

For agents

markdown · JSON · MCP: product_card(name="bokeh/bokeh")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem