skforecast and scalecast
These are competitors offering overlapping functionality—both provide frameworks for applying machine learning models to time series forecasting—though skforecast has substantially larger adoption and scalecast appears positioned for practitioners seeking a more specialized or opinionated approach.
Maintenance
25/25
Adoption
22/25
Maturity
25/25
Community
21/25
Maintenance
13/25
Adoption
18/25
Maturity
25/25
Community
17/25
Stars: 1,462
Forks: 184
Downloads: 98,347
Commits (30d): 62
Language: Python
License: BSD-3-Clause
Stars: 350
Forks: 40
Downloads: 1,367
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No risk flags
About skforecast
skforecast/skforecast
Time series forecasting with machine learning models
About scalecast
mikekeith52/scalecast
The practitioner's forecasting library
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