skforecast and mlforecast
These are **competitors**: both provide end-to-end ML-based time series forecasting pipelines with similar core functionality (feature engineering, model training, backtesting), though mlforecast emphasizes distributed scalability while skforecast emphasizes scikit-learn model compatibility.
Maintenance
25/25
Adoption
22/25
Maturity
25/25
Community
21/25
Maintenance
23/25
Adoption
22/25
Maturity
25/25
Community
19/25
Stars: 1,462
Forks: 184
Downloads: 98,347
Commits (30d): 62
Language: Python
License: BSD-3-Clause
Stars: 1,186
Forks: 122
Downloads: 1,002,566
Commits (30d): 21
Language: Python
License: Apache-2.0
No risk flags
No risk flags
About skforecast
skforecast/skforecast
Time series forecasting with machine learning models
About mlforecast
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
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