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.

skforecast
93
Verified
mlforecast
89
Verified
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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