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Catalogue record

github.com

Deequ

Library built on top of Apache Spark for defining "unit tests for data". Measures data quality in large datasets with constraint verificatio...

Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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Library built on top of Apache Spark for defining "unit tests for data". Measures data quality in large datasets with constraint verification, anomaly detection, and incremental validation. Used at Amazon for production data quality. Apache 2.0 licensed.

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Designers and product teams producing visual work — free to start, source available on GitHub.

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Why this fit

Designers and product teams producing visual work — free to start, source available on GitHub.

Known limitations

Teams that need a vendor SLA before adopting a free tool — check the project's support terms first.

Catalogue confidence

Catalogue data checked Oct 27, 2026.

GitHub-backed record with source-attributed context.

Repository context

Deequ - Unit Tests for Data

GitHub / awslabs/deequ

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Catalogue updated Oct 27, 2026
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GitHub-backed record
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