MLForecast

MLForecast is a framework for scalable machine learning based time series forecasting. It enables users to apply various machine learning models (like scikit-learn, LightGBM, XGBoost) to time series data, handling complex feature engineering (lags, rolling statistics, date features) and offering distributed training capabilities. The library is actively maintained, with frequent releases, currently at version 1.0.31.