Always know what to expect from your data.

Great Expectations is a python framework for bringing data pipelines and products under test.

Software developers have long known that automated testing is essential for managing complex codebases. Great Expectations brings the same discipline, confidence, and acceleration to data science and engineering teams.

To get more done with data, faster. Teams use great_expectations to

• Save time during data cleaning and munging.
• Accelerate ETL and data normalization.
• Streamline analyst-to-engineer handoffs.
• Monitor data quality in production data pipelines and data products.
• Simplify debugging data pipelines if (when) they break.
• Codify assumptions used to build models when sharing with distributed teams or other analysts.

Visit the Great Expectations documentation for more info.