statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available
Customer Reviews
User in Information Technology and Services
Advanced user of statsmodelsA comprehensive collection of advanced or special-use statistical and regression functions. Having access to models and statistical tests related to those models in the same package is very handy. Additionally, for regression models such as ARMA/ARIMA/ARIMAX/SARIMAX, the output already contains a lot of relevant information like AIC and BIC score.
Output type is inconsistent and can be a hurdle at times. For example some methods will output a list, others a dictionary, etc, which can make using a statsmodels output as an input somewhere else a little tricky. Documentation is also inconsistent.
Just be aware that outputs from very similar functions aren't necessarily consistent with one another. Some processing is often necessary for use with more standard libraries numpy, pandas, etc.
I primarily use statsmodels for time series analysis and regression modeling. Having tests such as augmented dickey-fuller and ACF/PACF functions built in are very useful when prepping data for an ARIMA model.
