statsforecast and scalecast
These are competitors: StatsForecast provides highly optimized statistical and econometric models at scale, while Scalecast offers a practitioner-focused wrapper around multiple forecasting backends—both targeting time-series forecasting but with different trade-offs between performance/simplicity and flexibility/usability.
Maintenance
20/25
Adoption
25/25
Maturity
25/25
Community
19/25
Maintenance
13/25
Adoption
18/25
Maturity
25/25
Community
17/25
Stars: 4,718
Forks: 360
Downloads: 3,135,527
Commits (30d): 9
Language: Python
License: Apache-2.0
Stars: 350
Forks: 40
Downloads: 1,367
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No risk flags
About statsforecast
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
About scalecast
mikekeith52/scalecast
The practitioner's forecasting library
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work