# bokeh/bokeh

Interactive Data Visualization in the browser, from  Python

Repository: https://github.com/bokeh/bokeh
Canonical: https://ross.abutalabs.com/products/bokeh
Homepage: https://bokeh.org
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: bokeh, python, interactive-plots, javascript, visualization, plotting, plots, data-visualisation, notebooks, jupyter, visualisation, numfocus
Last push: 2026-08-26T21:04:21+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 5273, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 20435, forks 4259 (observed 2026-08-28T04:11:30.111793+00:00)

## What it is
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
- artifact type: library
- maturity: stable
- function: data-visualization, charts, web-framework
- domain: data-visualization, data-science, web-development, analytics
- platform: python, browser, cross-platform
- tags: interactive-plots, jupyter, dashboards, bokeh-server, numfocus, streaming-data, web-server

## Member repositories
- bokeh/bokeh (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:30.111793+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:58:48.025168+00:00, confidence not recorded.
  - readme: https://github.com/bokeh/bokeh (fetched 2026-08-28T04:11:30.111793+00:00, sha 1f7caad4eb68)
  - homepage: https://bokeh.org (fetched 2026-08-29T07:57:41.806622+00:00, sha fbfbd93a2bff)
  - site_page: https://docs.bokeh.org/en/latest (fetched 2026-08-29T07:57:41.833515+00:00, sha 2af00d6fefe8)
  - site_page: https://docs.bokeh.org/en/latest/docs/first_steps.html (fetched 2026-08-29T07:57:41.835802+00:00, sha b3a4f2cb8b87)
  - site_page: https://docs.bokeh.org/en/latest/docs/examples.html (fetched 2026-08-29T07:57:41.837539+00:00, sha d04e8cb199f8)
  - site_page: https://docs.bokeh.org/en/latest/docs/examples/topics/geo/texas_hover_map.html (fetched 2026-08-29T07:57:41.839543+00:00, sha 9e76d3efd08a)
  - site_page: https://docs.bokeh.org/en/latest/docs/examples/styling/mathtext/latex_bessel.html (fetched 2026-08-29T07:57:41.841306+00:00, sha 9262354d9fc3)
  - site_page: https://docs.bokeh.org/en/latest/docs/examples/topics/timeseries/candlestick.html (fetched 2026-08-29T07:57:41.843157+00:00, sha f2b1e3774ce1)
  - site_page: https://docs.bokeh.org/en/latest/docs/examples/topics/graph/from_networkx.html (fetched 2026-08-29T07:57:41.844943+00:00, sha 4041e43c96c2)
  - site_page: https://docs.bokeh.org/en/latest/docs/user_guide/output/jupyter.html (fetched 2026-08-29T07:57:41.846640+00:00, sha 5e64379e919e)
- Data as of 2026-08-30T08:39:29.467469+00:00.