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DataEngineering Testing

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7 projectsTesting

  • 71%active
  • 29%steady

Testing

  • grai-io/grai-core on GitHub, opens in a new tab

    315stars

    A data catalog tool that integrates into your CI system exposing downstream impact testing of data changes. These tests prevent data changes which might break data pipelines or BI dashboards from making it to production.

    PythonMIT No Attributionsteady

  • dqops/dqo on GitHub, opens in a new tab

    194stars

    An open-source data quality platform for the whole data platform lifecycle from profiling new data sources to applying full automation of data quality monitoring.

    JavaOthersteady

  • vertti/daffy on GitHub, opens in a new tab

    58stars

    Decorator-first DataFrame contracts/validation (columns/dtypes/constraints) at function boundaries. Supports Pandas/Polars/PyArrow/Modin.

    PythonMIT Licenseactive

  • provero-org/provero on GitHub, opens in a new tab

    17stars

    A vendor-neutral, declarative data quality engine. Define checks in YAML, run anywhere. Includes 16 built-in check types, SQL batch optimizer, anomaly detection, and data contracts.

    PythonApache License 2.0active

  • rbmuller/scherlok on GitHub, opens in a new tab

    9stars

    Zero-config data quality CLI. Profiles every table on first run, then auto-detects anomalies (volume drops, schema drift, freshness misses, distribution shifts) on subsequent runs. No YAML, no rules to write. Works with Postgres, BigQuery, Snowflake, and dbt.

    PythonMIT Licenseactive

  • aegis-dq/aegis-dq on GitHub, opens in a new tab

    4stars

    Open-source agentic data quality framework with LLM-powered diagnosis, root-cause analysis, SQL auto-fix proposals, and 31 rule types — DuckDB, Postgres, BigQuery, Databricks, Athena, Snowflake.

    PythonOtheractive

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