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Great Expectations offers an intuitive approach to testing data that automatically generates widely-readable results—making vital collaboration between technical and nontechnical teams easier. Start building a shared perspective. Accelerate your data discovery.
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Great Expectations offers an intuitive approach to testing...
- GX CLOUD
Go from first login to first test result in minutes, with GX...
- GX OSS
And by defining Actions alongside your Expectations, you can...
- COMMUNITY HOME
The Great Expectations blog surfaces data quality best...
- INTEGRATIONS
Great Expectations makes it easy to integrate data quality...
- DOCUMENTATION
Great Expectations documentation. Learn everything you need...
- EXPECTATIONS GALLERY
GX's Expectation Gallery: a rich, collaboration-ready...
- CASE STUDIES
Companies worldwide use GX to maintain data quality on their...
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Great Expectations is a framework for defining Expectations and running them against your data. Like assertions in traditional Python unit tests, Expectations provide a flexible, declarative language for describing expected behavior.
Great Expectations is a powerful platform that's revolutionizing data quality and collaboration. Find out why companies around the world are choosing GX.
GX OSS is a data quality platform designed by and for data engineers. It helps you surface issues quickly and clearly while also making it easier to collaborate with nontechnical stakeholders. Its powerful technical tools start with Expectations: expressive and extensible unit tests for your data.
Data Docs. Data Docs are human-readable documentation generated by GX. Data Docs describe the standards that you expect your data to conform to, and the results of validating your data against those standards. The Data Context manages the storage and retrieval of this information.
