yhat/ggpy
ggplot port for python observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
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: n/a
- age_days: 4713
- days_rel: n/a
- days_push: 1320
- n_releases_24m: 0
Adoption not part of the score
3687 stars · 562 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
ggpy is a Python implementation of the grammar of graphics, inspired by R's ggplot2, built on pandas and matplotlib. It lets users declaratively compose plots with aesthetics, geoms, scales, and facets.
Use cases
- create ggplot2-style plots in python
- make scatter plots and histograms with a grammar of graphics api
- facet plots by a categorical column
- apply color palettes and brewer scales to charts
- build density plots and boxplots from pandas dataframes
When to choose
- you want ggplot2-like declarative plotting syntax in Python
- your data lives in pandas dataframes
- you prefer composable plot specifications over imperative matplotlib calls
When to avoid
- you need actively maintained software with recent bug fixes
- you need the full feature set of ggplot2 from R
- you want interactive or web-based plotting rather than static matplotlib output
Facets
library · maturity maintenance
data-visualization charts data-visualization data-science python grammar-of-graphics ggplot2-port plotting matplotlib pandas
2 sources
- readme: https://github.com/yhat/ggpy · fetched 2026-08-28 · b1f79d4888b2
- homepage: http://yhat.github.io/ggpy/ · fetched 2026-08-29 · 54e119e97c45
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| yhat/ggpy | main | 10 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem