skforecast
Some data may be outdated — see provenance labels.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models observed · 2026-09-29
Health v2 · maintenance only
92/100
- Activity 96
- Release rhythm 83
- 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: 2078
- days_rel: 39
- days_push: 25
- n_releases_24m: 15
Adoption not part of the score
1536 stars · 200 forks observed · 2026-09-29
Summary
No AI-extracted summary yet.
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| skforecast/skforecast | main | 92 |
| skforecast/skforecast-ai | plugin | 78 |
For agents
markdown · JSON · MCP: product_card(name="skforecast/skforecast")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem