Kozea/pygal
PYthon svg GrAph plotting Library observed · 2026-08-28
Health v2 · maintenance only
93/100
- Activity 93
- Release rhythm 89
- Longevity 100
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: 15
- age_days: 5458
- days_rel: 76
- days_push: 43
- n_releases_24m: 4
Adoption not part of the score
2770 stars · 420 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity active
data-visualization charts data-visualization web-development python cross-platform svg charting plotting vector-graphics python
1 source
- readme: https://github.com/Kozea/pygal · fetched 2026-08-28 · 04b99f7237af
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Kozea/pygal | main | 93 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem