# bqplot/bqplot

Plotting library for IPython/Jupyter notebooks

Repository: https://github.com/bqplot/bqplot
Canonical: https://ross.abutalabs.com/products/bqplot
Homepage: https://bqplot.github.io/bqplot
Language: TypeScript
License: Apache-2.0
License Family: permissive
Topics: visualizations, jupyter, ipython
Last push: 2026-05-07T08:33:08+00:00

## Health v2 (maintenance only)
Score: 86/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 81, release rhythm 83, longevity 100
- inputs: {"age_days": 3994, "days_push": 118, "days_rel": 118, "gap_med": 2, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3693, forks 479 (observed 2026-08-28T04:08:14.822019+00:00)

## What it is
bqplot is a 2-D plotting library for Jupyter notebooks built on the Grammar of Graphics, where every plot component is an interactive ipywidget. It offers both a matplotlib-like pyplot API and a fully customizable object model API, with plots that update reactively as data changes.

## Use cases
- create interactive charts in jupyter notebooks
- build dashboards with jupyter widgets and voila
- plot data that updates in real time in a notebook
- make linked interactive visualizations in python
- brush and select data slices in a chart
- build reusable custom plotting widgets

## When to choose
- you work primarily in Jupyter notebooks and want interactive, widget-based plots
- you need charts that respond to data updates or user interactions like brushing and lasso selection
- you want to compose plots with other ipywidgets into GUIs or dashboards

## When to avoid
- you need publication-quality static plots outside of notebooks (matplotlib is a better fit)
- you need large-scale web dashboards independent of Jupyter (consider Plotly Dash or Bokeh)
- you rely on JupyterLab <= 2, which requires legacy extension installation

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, charts
- domain: data-visualization, data-science, web-development
- platform: python, browser
- tags: jupyter, ipywidgets, grammar-of-graphics, interactive-plots, notebook, web-server

## Member repositories
- bqplot/bqplot (main) score 86

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:14.822019+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 2026-08-29T18:31:06.088538+00:00, confidence not recorded.
  - readme: https://github.com/bqplot/bqplot (fetched 2026-08-28T04:08:14.822019+00:00, sha 31438a331039)
  - homepage: https://bqplot.github.io/bqplot (fetched 2026-08-29T09:25:04.446883+00:00, sha 6267ff72a0b9)
- Data as of 2026-08-30T08:39:29.467469+00:00.