alkaline-ml/pmdarima
A Python statistical library for time series analysis and forecasting, replicating R's auto.arima functionality.
Not currently ranked — collecting fresh signals.
star history
pmdarima provides tools for time series forecasting using ARIMA and SARIMAX models, automatic model order selection, and statistical tests for stationarity and seasonality. It wraps statsmodels and offers scikit-learn-compatible pipelines, transformers including Box-Cox and Fourier transformations, seasonal decomposition, and cross-validation utilities for time series data.
Frequently asked
- What is alkaline-ml/pmdarima?
- A Python statistical library for time series analysis and forecasting, replicating R's auto.arima functionality.
- Is pmdarima open source?
- Yes — alkaline-ml/pmdarima is open source, released under the MIT license.
- What language is pmdarima written in?
- alkaline-ml/pmdarima is primarily written in Python.
- How popular is pmdarima?
- alkaline-ml/pmdarima has 1.7k stars on GitHub.
- Where can I find pmdarima?
- alkaline-ml/pmdarima is on GitHub at https://github.com/alkaline-ml/pmdarima.