ArviZ
Exploratory analysis of Bayesian models with Python observed · 2026-10-08
Health v2 · maintenance only
90/100
- Activity 94
- Release rhythm 78
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 49
- age_days: 4101
- days_rel: 70
- days_push: 41
- n_releases_24m: 10
Adoption not part of the score
1858 stars · 510 forks observed · 2026-10-08
Summary
No AI-extracted summary yet.
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| arviz-devs/arviz | main | 90 |
| arviz-devs/ArviZ.jl | sdk | 89 |
For agents
markdown · JSON · MCP: product_card(name="arviz-devs/arviz")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem