statsmodels

Statistical computations and models for Python

statsmodels Permissive license BSD License Active ★ 11,572 v0.14.6 released 2025-12-05

Install

statsmodels on PyPI

pip

pip install statsmodels

uv

uv add statsmodels

poetry

poetry add statsmodels

Package facts

License	BSD License (permissive)
Python support	supports the current Python release (>=3.9)
Install friction	medium — platform-specific wheel
Runtime dependencies	5 — numpy, scipy, pandas, patsy, packaging
Maintenance	actively maintained — 251 days since the last release
Last repo commit	2026-08-13
First released	2012-06-19
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: statsmodels-0.14.6-cp310-cp310-macosx_10_9_x86_64.whl; statsmodels-0.14.6-cp310-cp310-macosx_11_0_arm64.whl; statsmodels-0.14.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; statsmodels-0.14.6-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl; statsmodels-0.14.6-cp310-cp310-musllinux_1_2_x86_64.whl; statsmodels-0.14.6-cp310-cp310-win_amd64.whl; statsmodels-0.14.6-cp311-cp311-macosx_10_9_x86_64.whl; statsmodels-0.14.6-cp311-cp311-macosx_11_0_arm64.whl; statsmodels-0.14.6-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; statsmodels-0.14.6-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl; statsmodels-0.14.6-cp311-cp311-musllinux_1_2_x86_64.whl; statsmodels-0.14.6-cp311-cp311-win_amd64.whl; statsmodels-0.14.6-cp312-cp312-macosx_10_13_x86_64.whl; statsmodels-0.14.6-cp312-cp312-macosx_11_0_arm64.whl; statsmodels-0.14.6-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; statsmodels-0.14.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl; statsmodels-0.14.6-cp312-cp312-musllinux_1_2_x86_64.whl; statsmodels-0.14.6-cp312-cp312-win_amd64.whl; statsmodels-0.14.6-cp313-cp313-macosx_10_13_x86_64.whl; statsmodels-0.14.6-cp313-cp313-macosx_11_0_arm64.whl

Development Status :: 4 - BetaEnvironment :: ConsoleIntended Audience :: DevelopersIntended Audience :: End Users/DesktopIntended Audience :: Science/ResearchLicense :: OSI Approved :: BSD LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: CythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Office/Business :: FinancialTopic :: Scientific/Engineering

About statsmodels

from the package's own PyPI description — quoted content, verbatim

.. image:: docs/source/images/statsmodels-logo-v2-horizontal.svg :alt: Statsmodels logo

About statsmodels

statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference for statistical models.

Documentation

The documentation for the latest release is at

https://www.statsmodels.org/stable/

The documentation for the development version is at

https://www.statsmodels.org/dev/

Recent improvements are highlighted in the release notes

https://www.statsmodels.org/stable/release/

Backups of documentation are available at https://statsmodels.github.io/stable/ and https://statsmodels.github.io/dev/.

Main Features

Linear regression models:
Ordinary least squares
Generalized least squares
Weighted least squares
Least squares with autoregressive errors
Quantile regression
Recursive least squares
Mixed Linear Model with mixed effects and variance components
GLM:...

Read as markdown · JSON record · Source repository · Homepage · Docs

AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

statsmodels provides statistical models, hypothesis tests, and inference tools for descriptive statistics, regression, time series analysis, survival analysis, and discrete choice modeling.

Medium install friction due to compiled extensions and five runtime dependencies (numpy, scipy, pandas, patsy, packaging), but wheels are available across Python 3.10–3.13 and major platforms. Active maintenance with last commit 2026-08-13.

BSD License (permissive treatment) allows commercial and private use with minimal restrictions; retain the license notice in distributions.

Usage

pip install statsmodels
import statsmodels.api as sm
model = sm.OLS(y, X).fit()
print(model.summary())

Requires Python ≥3.9; numpy, scipy, and pandas must be installed first.

Verdict: statsmodels is actively maintained with no known vulnerabilities and permissive BSD licensing. Medium install friction is offset by comprehensive wheel coverage across platforms and Python versions. Suitable for production statistical and econometric work.

Needs verification

Community adoption scale and typical deployment patterns.
Performance characteristics and memory footprint for large datasets.
Whether the 251-day release gap reflects normal maintenance cadence.

statistical models pythontime series arimaregression analysisgeneralized linear modelshypothesis testing statisticssurvival analysis coxdiscrete choice logit probiteconometric modeling