statsforecast and skforecast
These tools are competitors, as both offer Python libraries for time series forecasting, with Nixtla/statsforecast emphasizing statistical and econometric models and skforecast focusing on machine learning models, implying users would likely choose one based on their preferred modeling approach.
Maintenance
20/25
Adoption
25/25
Maturity
25/25
Community
19/25
Maintenance
25/25
Adoption
22/25
Maturity
25/25
Community
21/25
Stars: 4,718
Forks: 360
Downloads: 3,135,527
Commits (30d): 9
Language: Python
License: Apache-2.0
Stars: 1,462
Forks: 184
Downloads: 98,347
Commits (30d): 62
Language: Python
License: BSD-3-Clause
No risk flags
No risk flags
About statsforecast
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
About skforecast
skforecast/skforecast
Time series forecasting with machine learning models
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