statsmodels

PyPI v0.14.6

8,477,679 weekly downloads · BSD-3-Clause · 5 Dependencies

Source data as of:

Summary

Statistical computations and models for Python

Install pip install statsmodels

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 8,477,679 Source: PyPI (Python Package Index)
Releases 41 Last release: 2025-12-05 Source: PyPI (Python Package Index)
Dependencies 5 Source: PyPI (Python Package Index)

Description

Statistical computations and models for Python

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Package details

Package
statsmodels
Registry
PyPI
Version
0.14.6
Weekly downloads
8,477,679 (weekly)
License
BSD-3-Clause
Dependencies
5: numpy, scipy, pandas, patsy, packaging
Releases
41
Last release
2025-12-05
First published
2012-06-19
Homepage
https://www.statsmodels.org/
Repository
https://github.com/statsmodels/statsmodels

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 23.5 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 23.8 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 66.8 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources