skforecast

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Summary: Skforecast is a Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models. It works with any estimator compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others.
Latest version: 0.23.0
Required dependencies: joblib | numba | numpy | optuna | pandas | rich | scikit-learn | scipy | tensorflow | tqdm
Optional dependencies: black | catboost | cloudpickle | keras | lightgbm | matplotlib | mike | mkdocs | mkdocs-jupyter | mkdocs-material | mkdocstrings | mkdocstrings-python | pandas | pytest | pytest-cov | pytest-xdist | skforecast | skops | statsmodels | tomli | torch | xgboost

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