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deequ

OtherGitHubActiveScala

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Description provenance: Original source

Open canonical source

Measured: Oct 21, 2026 · 22 observations

Domains & Uses

Domains
Data engineering

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/awslabs/deequ

Classifications

Nature
Tool

Measurement history

Comparable readings are grouped by signal and unit.

Stars

3,653stars · Oct 21, 2026

+11 (+0.3 %)since Sep 1, 2026

Sep 1, 2026 : 3,642 starsSep 2, 2026 : 3,642 starsSep 3, 2026 : 3,642 starsSep 4, 2026 : 3,643 starsSep 5, 2026 : 3,643 starsSep 6, 2026 : 3,643 starsSep 15, 2026 : 3,646 starsSep 16, 2026 : 3,645 starsSep 17, 2026 : 3,645 starsSep 18, 2026 : 3,646 starsSep 19, 2026 : 3,647 starsSep 20, 2026 : 3,647 starsSep 21, 2026 : 3,647 starsSep 22, 2026 : 3,648 starsOct 13, 2026 : 3,649 starsOct 14, 2026 : 3,649 starsOct 15, 2026 : 3,650 starsOct 16, 2026 : 3,650 starsOct 17, 2026 : 3,650 starsOct 18, 2026 : 3,650 starsOct 19, 2026 : 3,650 starsOct 21, 2026 : 3,653 stars
Exact values · 22 readings
MeasuredstarsChange
3,653+3
3,6500
3,6500
3,6500
3,6500
3,650+1
3,6490
3,649+1
3,648+1
3,6470
3,6470
3,647+1
3,646+1
3,6450
3,645-1
3,646+3
3,6430
3,6430
3,643+1
3,6420
3,6420
3,642·