Nixtla/statsforecast
A Python library for lightning-fast univariate time series forecasting using classical statistical and econometric models.

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StatsForecast provides a collection of widely used univariate time series forecasting models including automatic ARIMA, ETS, CES, and Theta modeling. It is optimized for high performance and includes models like MSTL, AutoETS, AutoARIMA, and naive baselines. The library targets data scientists and analysts needing efficient forecasting at scale.