# dexplo/bar_chart_race

Create animated bar chart races in Python with matplotlib

Repository: https://github.com/dexplo/bar_chart_race
Canonical: https://ross.abutalabs.com/products/bar_chart_race
Language: Python
License: MIT
License Family: permissive
Last push: 2024-06-27T10:45:01+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2319, "days_push": 797, "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 1452, forks 379 (observed 2026-08-28T04:04:46.114529+00:00)

## What it is
A Python library for creating animated bar chart and line chart races using matplotlib or plotly. It takes wide-format pandas DataFrames and produces animated GIF/MP4 visualizations or embeds them in Jupyter notebooks.

## Use cases
- create animated bar chart race in python
- animate time series data as a racing bar chart
- make animated charts from pandas dataframe
- embed animated chart in jupyter notebook
- create animated line chart race
- export animated chart as gif or mp4

## When to choose
- you have wide-format time series data in pandas and want a polished animated bar/line race
- you want to embed animations directly in Jupyter notebooks
- you need GIF or MP4 output with extensive customization options

## When to avoid
- you need general-purpose charting beyond bar/line races
- you need interactive real-time dashboards rather than pre-rendered animations
- you don't use pandas DataFrames as your data source

## Facets
- artifact type: library
- maturity: maintenance
- function: data-visualization, animation, charts
- domain: data-visualization, data-science
- platform: python
- tags: matplotlib, plotly, pandas, bar-chart-race, jupyter

## Member repositories
- dexplo/bar_chart_race (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:46.114529+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 2026-08-30T04:35:47.596721+00:00, confidence not recorded.
  - readme: https://github.com/dexplo/bar_chart_race (fetched 2026-08-28T04:04:46.114529+00:00, sha 4b959c2b7a7a)
  - registry_pypi: https://pypi.org/pypi/bar_chart_race/json (fetched 2026-08-29T11:45:05.240729+00:00, sha c58401605b50)
- Data as of 2026-08-30T08:39:29.467469+00:00.