scikit-learn

PyPI v1.8.0

44,844,405 weekly downloads · 4 Dependencies

Source data as of:

Summary

A set of python modules for machine learning and data mining

Install pip install scikit-learn

Registry values

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

Weekly downloads 44,844,405 Source: PyPI (Python Package Index)
Releases 73 Last release: 2025-12-10 Source: PyPI (Python Package Index)
Dependencies 4 Source: PyPI (Python Package Index)

Description

A set of python modules for machine learning and data mining

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

Package details

Package
scikit-learn
Registry
PyPI
Version
1.8.0
Weekly downloads
44,844,405 (weekly)
Dependencies
4: numpy, scipy, joblib, threadpoolctl
Releases
73
Last release
2025-12-10
First published
2011-09-22

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 48.2 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 24.8 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 64.2 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources