{"library":"statsforecast","type":"library","category":null,"description":"StatsForecast is a Python library providing a lightning-fast suite of statistical and econometric models for time series forecasting. It offers highly optimized implementations of models like ARIMA, ETS, CES, and Theta, designed for speed and scalability to forecast millions of series efficiently. The library is currently at version 2.0.3 and maintains an active release cadence with frequent updates and performance enhancements.","language":"python","status":"active","version":"2.0.3","tags":["time series","forecasting","statistical models","machine learning","ARIMA","ETS","scalability","fast"],"install":[{"cmd":"pip install statsforecast","imports":["from statsforecast import StatsForecast","from statsforecast.models import AutoARIMA","from statsforecast.utils import AirPassengersDF"]}],"homepage":null,"github":"https://github.com/Nixtla/statsforecast","docs":"https://nixtlaverse.nixtla.io/statsforecast/","changelog":null,"pypi":"https://pypi.org/project/statsforecast/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":25,"avg_install_s":20.6,"avg_import_s":3.52,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/statsforecast/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}