# Kozea/pygal

PYthon svg GrAph plotting Library

Repository: https://github.com/Kozea/pygal
Canonical: https://ross.abutalabs.com/products/pygal
Homepage: https://www.pygal.org
Language: Python
License: LGPL-3.0
License Family: copyleft
Last push: 2026-07-21T08:17:10+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 93, release rhythm 89, longevity 100
- inputs: {"age_days": 5458, "days_push": 43, "days_rel": 76, "gap_med": 15, "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 2770, forks 420 (observed 2026-08-28T04:07:18.880564+00:00)

## What it is
Pygal is a dynamic SVG charting library written in Python. It generates scalable vector graphic charts (line, bar, pie, radar, and more) that can be embedded in web pages or exported to various formats.

## Use cases
- generate svg charts in python
- plot line and bar charts as vector graphics
- embed interactive charts in web pages
- create pie charts from python data
- export charts to png or svg
- make charts for flask or django apps

## When to choose
- you need resolution-independent SVG charts generated from Python
- you want lightweight charting without JavaScript dependencies
- you need charts embeddable in web pages or documents

## When to avoid
- you need large-scale interactive dashboards with client-side rendering
- you require GPU-accelerated plotting of millions of points
- you prefer matplotlib-style scientific plotting ecosystem

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, charts
- domain: data-visualization, web-development
- platform: python, cross-platform
- tags: svg, charting, plotting, vector-graphics, python

## Member repositories
- Kozea/pygal (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:18.880564+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 2026-08-30T08:16:40.151438+00:00, confidence not recorded.
  - readme: https://github.com/Kozea/pygal (fetched 2026-08-28T04:07:18.880564+00:00, sha 04b99f7237af)
- Data as of 2026-08-30T08:39:29.467469+00:00.