{"library":"pmdarima","type":"library","category":null,"description":"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.","language":"python","status":"active","version":"2.1.1","tags":["time series","ARIMA","forecasting","machine learning","auto-ml","statsmodels"],"install":[{"cmd":"pip install pmdarima","imports":["from pmdarima import auto_arima","from pmdarima.arima import ARIMA"]}],"homepage":"http://alkaline-ml.com/pmdarima","github":"https://github.com/alkaline-ml/pmdarima","docs":"http://alkaline-ml.com/pmdarima","changelog":null,"pypi":"https://pypi.org/project/pmdarima/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":45,"avg_install_s":17.7,"avg_import_s":6.17,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/pmdarima/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}