Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
AutoTS is a Python time series forecasting package designed to rapidly deploy high-accuracy forecasts at scale, featuring dozens of models accessible via sklearn-style fit/predict and over 30 time-series transforms. It operates on Pandas DataFrames, supports multivariate and probabilistic forecasts, and scales to tens or hundreds of thousands of input series with optional exogenous regressors. It includes an AutoML-style feature search using genetic algorithms and ensemble methods (horizontal and mosaic) to optimize model selection and forecasting performance.
Parse Score
#44 of 86 in Enterprise AutoML Hyperparameter Tuning Platforms
Sources
github.com shapes more of what AI says about AutoTS than any other source, at 17% of its citations.
opentimeseries.com · pmc.ncbi.nlm.nih.gov · reddit.com · sciencedirect.com
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