pydeequ

PyPI v1.5.0

3,536,184 weekly downloads · Apache-2.0 · 2 Dependencies

Source data as of:

Summary

PyDeequ - Unit Tests for Data

Install pip install pydeequ

Registry values

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

Weekly downloads 3,536,184 Source: PyPI (Python Package Index)
Releases 14 Last release: 2025-04-01 Source: PyPI (Python Package Index)
Dependencies 2 Source: PyPI (Python Package Index)

Description

PyDeequ - Unit Tests for Data

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

Package details

Package
pydeequ
Registry
PyPI
Version
1.5.0
Weekly downloads
3,536,184 (weekly)
License
Apache-2.0
Dependencies
2: numpy, pandas
Releases
14
Last release
2025-04-01
First published
2020-11-09
Keywords
deequ, pydeequ, data-engineering, data-quality, data-profiling, dataquality, dataunittest, data-unit-tests, data-profilers
Repository
https://github.com/awslabs/python-deequ

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 2.0 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 6.1 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 69.0 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources