Package profile
skforecast
- 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.
- Author: Joaquin Amat Rodrigo <j.amatrodrigo@gmail.com>, Javier Escobar Ortiz <javier.escobar.ortiz@gmail.com>
- License: BSD-3-Clause
- Homepage: https://www.skforecast.org
- Source: https://github.com/skforecast/skforecast
- Number of releases: 35
- First release: 0.1.9 on 2021-08-05
- Latest release: 0.25.0 on 2026-09-11
- Latest release size: 517.3 KB (pure Python wheel)