About Great Expectations (GX)
Great Expectations is an open-source data quality and validation framework (with a commercial cloud offering) that lets teams define 'Expectations' — verifiable assertions about data — and run validations, checkpoints and generate human-readable Data Docs. It is used to test, document and monitor data quality and schemas across pipelines.
Key Features
- Expectation suites — declarative tests (Expectations) for schema, values and distributions
- Checkpoints & validation — run validations and automate CI/CD or pipeline checks
- Data Docs — auto-generated human-readable documentation of expectations and validation results
- Cloud & OSS options — GX Core (open-source) plus GX Cloud for managed monitoring and collaboration
Use Cases & Best For
Data engineers and data platform teams needing formal data validation and documentation
Teams that want to embed data quality checks into pipelines and CI/CD with readable reports
About Model Evaluation
Test and evaluate AI models