Project Summary
statsmodels is a pure python package that provides classes and functions for the estimation of several categories of statistical models with numpy and scipy.
These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models, discrete models, Logit, Probit, Multinomial Logit, Poisson and Negative Binomial, models for time series analysis include AR, ARIMA and VAR. An extensive list of result statistics are available for each estimation problem. Besides models for estimation and prediction, statsmodels also has hypothesis tests and other statistical functions.
In a Nutshell, statsmodels...
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has a well established, mature codebase
maintained by a very large development team
with increasing Y-O-Y commits -
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took an estimated 77 years of effort (COCOMO model)
starting with its first commit in March, 2006
ending with its most recent commit 3 days ago
Quick Reference
BSD 3-clause "New" or "Revised" License
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These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
Project Vulnerability Report
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30 Day SummaryAug 15 2026 — Sep 14 2026
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12 Month SummarySep 14 2025 — Sep 14 2026
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