All Tools
G
DataFreemiumOpen Source
GREAT EXPECTATIONS
Data validation, testing, and documentation for data pipelines
Apache-2.0
ABOUT
Modern data systems are powerful but fragile: data breaks, schemas drift, and quality issues often go unnoticed until they cause downstream damage. Great Expectations provides a structured way to catch data quality issues early, validate data before it moves downstream, and create a shared, institutional language for data quality across technical and business teams.
INSTALL
pip install great-expectationsINTEGRATION GUIDE
1. Validate data quality in ETL and ELT pipelines before downstream consumption
2. Auto-generate data quality documentation and reports from validation runs
3. Monitor production data health in real time with scheduled validation checks
4. Enforce schema and business rule constraints during CI/CD workflows
5. Collaborate across teams using a common language for data quality expectations
TAGS
data-qualitydata-validationdata-testingdata-engineeringpythondata-observabilityetlci-cd