statsmodels

license

BSD-3-Clause(OSI

source

public(github.com/statsmodels/statsmodels)

core features withheld

no — no paid tier or commercial edition found

The license file is the three-clause BSD text under the statsmodels developers' copyright, and the README names it Modified BSD. The library builds whole from the public repository, and neither the README nor the package lists a paid tier, a hosted service or a commercial license; nothing states this outright, so the reading is that no commercial offering exists to hold anything back for.

• https://raw.githubusercontent.com/statsmodels/statsmodels/HEAD/LICENSE.txt recorded 2026-09-26

  LICENSE.txt: "Copyright (C) 2006, Jonathan E. Taylor", "Copyright (c) 2006-2008 Scipy Developers.", "Copyright (c) 2009-2018 statsmodels Developers.", followed by the three-clause "Redistribution and use in source and binary forms" text.

• https://raw.githubusercontent.com/statsmodels/statsmodels/HEAD/README.md recorded 2026-09-26

  README License section: "Modified BSD (3-clause)"; no paid tier, hosted service or commercial license mentioned.

• https://ungh.cc/repos/statsmodels/statsmodels/files/HEAD recorded 2026-09-26

  Repository tree of 2,278 paths with no ee, enterprise, commercial or pro directory.

Measured on monthly PyPI downloads of the statsmodels package.

• https://pypistats.org/api/packages/statsmodels/recent recorded 2026-09-26

  last_month 31,394,993 downloads of statsmodels

statsmodels is a toolkit of many model families for inference rather than prediction alone, and its time-series suite is one of the widest in Python. Like scikit-learn it leaves model choice to the analyst.

• https://raw.githubusercontent.com/statsmodels/statsmodels/HEAD/README.md recorded 2026-09-26

  README "Main Features": linear regression models, mixed linear model, GLM, Bayesian mixed GLM, GEE, discrete models, RLM, time series analysis (StateSpace, SARIMAX, VARMAX, dynamic factor, Markov switching, AR/ARIMA, VAR/SVAR, VECM, Holt-Winters), survival analysis, multivariate, nonparametric, statistical tests, MICE.

• https://www.statsmodels.org/stable/user-guide.html recorded 2026-09-26

  User Guide index: linear regression, GLM, GEE, GAM, robust linear models, linear mixed effects, discrete dependent variables, ANOVA, time series analysis, state space methods, vector autoregressions, survival and duration analysis, nonparametric methods, GMM, multivariate statistics.