GPyTorch
A highly efficient implementation of Gaussian Processes in PyTorch observed · 2026-10-11
Health v2 · maintenance only
82/100
- Activity 97
- Release rhythm 53
- 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: 43.0
- age_days: 3420
- days_rel: 235
- days_push: 18
- n_releases_24m: 7
Adoption not part of the score
3925 stars · 609 forks observed · 2026-10-11
Summary
No AI-extracted summary yet.
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| cornellius-gp/gpytorch | main | 82 |
| cornellius-gp/linear_operator | backend | 74 |
For agents
markdown · JSON · MCP: product_card(name="cornellius-gp/gpytorch")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem