Great Expectations

Great Expectations is the leading open-source data quality and validation framework for data pipelines. Teams define expectations about data as executable tests and run them against any data source to catch quality issues before they impact downstream analytics and ML models. Integrates with Airflow, dbt, Spark, and major cloud data warehouses. Great Expectations generates human-readable data documentation automatically. Used by data engineering teams who need to enforce data quality standards, catch pipeline failures early, and document data assets reliably.