deequ

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

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    Author: GitHub Repos (@github-repos)

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    • key-concepts.md (md)
    • README.md (md)
    • Makefile (txt)
    • README.md (md)
    • LICENSE (txt)
    • auto-approve.yml (yml)
    • maven.yml (yml)
    • issue-bot.yml (yml)
    • publish.yml (yml)
    • update-kb.yml (yml)
    • stale.yml (yml)
    • PULL_REQUEST_TEMPLATE.md (md)
    • feature_request.md (md)
    • general-inquiry.md (md)
    • bug_report.md (md)
    • CONTRIBUTING.md (md)
    • .shadow.yml (yml)
    • KLLBenchmark.java (java)
    • JavaDQDLExample.java (java)
    • algebraic_states_example.md (md)
    • constraint_suggestion_example.md (md)
    • anomaly_detection_example.md (md)
    • data_profiling_example.md (md)
    • metrics_repository_example.md (md)
    • generate_kb.py (py)
    • CODE_OF_CONDUCT.md (md)
    • AttributeReferenceCreation.java (java)
    • ATTRIBUTION.md (markdown)
    • docs (txt)
    • test-data (txt)
    • .github (github)
    • workflows (txt)
    • ISSUE_TEMPLATE (txt)
    • src (txt)
    • test (txt)
    • resources (txt)
    • scala (txt)
    • com (txt)
    • amazon (txt)
    • deequ (txt)
    • KLL (txt)
    • utils (txt)
    • dqdl (txt)
    • execution (txt)
    • translation (txt)
    • rules (txt)
    • metrics (txt)
    • schema (txt)
    • anomalydetection (txt)
    • seasonal (txt)
    • constraints (txt)
    • examples (txt)
    • analyzers (txt)
    • catalyst (txt)
    • runners (txt)
    • profiles (txt)
    • repository (txt)
    • fs (txt)
    • memory (txt)
    • sparktable (txt)
    • comparison (txt)
    • suggestions (txt)
    • rules (txt)
    • interval (txt)
    • checks (txt)
    • main (txt)
    • scala (txt)
    • com (txt)
    • amazon (txt)
    • deequ (txt)
    • dqdl (txt)
    • util (txt)
    • model (txt)
    • execution (txt)
    • executors (txt)
    • translation (txt)
    • rules (txt)
    • metrics (txt)
    • io (txt)
    • schema (txt)
    • anomalydetection (txt)
    • seasonal (txt)
    • constraints (txt)
    • examples (txt)
    • analyzers (txt)
    • catalyst (txt)
    • applicability (txt)
    • runners (txt)
    • profiles (txt)
    • utilities (txt)
    • repository (txt)
    • fs (txt)
    • memory (txt)
    • sparktable (txt)
    • comparison (txt)
    • suggestions (txt)
    • rules (txt)
    • interval (txt)
    • checks (txt)
    • scripts (txt)

    deequ

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    • Updated Jul 18, 2026
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    Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

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    Created Jan 20, 2026