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Great Expectations

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Great Expectations helps data teams validate, document, and monitor data quality across pipelines with automated testing and observability.

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Sources

github.com

Verified against the great-expectations/great_expectations repository and the PyPI package.

Great Expectations is a comprehensive, open-source data quality platform that helps teams validate and monitor data across every stage of their pipelines.

Key Features:

  • Expectation Tests - Define data quality rules that validate schema, values, and statistical properties.
  • ExpectAI - Auto-generate validation tests using AI to accelerate pipeline coverage.
  • Real-Time Monitoring - Track data health continuously and get alerts before bad data causes damage.
  • Pipeline Integration - Plug into CI/CD, orchestrators, and existing data workflows seamlessly.
  • Collaboration Tools - Share data quality insights between technical and business teams.
  • GX Cloud - Get started in minutes with a managed platform requiring zero infrastructure.

Whether you're validating ingested data, monitoring pipeline health, or enforcing governance, Great Expectations provides the tools to trust your data end to end.

Features:
Data ValidationOpen SourceManaged CloudETL PipelineWorkflow AutomationReal-Time MonitoringAI Test Generation

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