pmdarima (Auto-ARIMA)

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library 2.1.1 ·python
verified May 20, 2026

pmdarima is a Python library that provides an equivalent to R's `auto.arima` function, automating the process of selecting optimal ARIMA (AutoRegressive Integrated Moving Average) models for time series forecasting. It builds on `statsmodels` but offers a scikit-learn-like API, simplifying complex time series analysis. The library is currently at version 2.1.1 and receives regular updates for Python version compatibility and dependency support.

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