{"library":"skforecast","type":"library","category":null,"description":"Skforecast is a Python library for time series forecasting using statistical and machine learning models. It works with any estimator compatible with the scikit-learn API, including LightGBM, XGBoost, CatBoost, Keras, and many others. Current version is 0.22.0, with a release cadence of roughly quarterly.","language":"python","status":"active","version":"0.22.0","tags":["time-series","forecasting","sklearn","machine-learning","grid-search"],"install":[{"cmd":"pip install skforecast","imports":["from skforecast import ForecasterAutoreg"]}],"homepage":"https://www.skforecast.org","github":"https://github.com/skforecast/skforecast","docs":"https://www.skforecast.org","changelog":"https://skforecast.org/latest/releases/releases","pypi":"https://pypi.org/project/skforecast/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":22.4,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/skforecast/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}