---
id: statsmodels
version: "0.14.6"
license: BSD License
license_treatment: permissive
maintenance: active
---

# statsmodels — Statistical computations and models for Python

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install statsmodels
uv add statsmodels
poetry add statsmodels

## Description

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

|PyPI Version| |Conda Version| |License| |Azure CI Build Status|
|Codecov Coverage| |Coveralls Coverage| |PyPI downloads| |Conda downloads|

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:...

## AI interpretation — verify before relying

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

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.

[View on SkillFed](https://skillfed.io/packages/statsmodels) · [View on PyPI](https://pypi.org/project/statsmodels/)