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Great Expectations

Data & AnalyticsOpen Source

Data Quality & Testing

Data validation and testing framework for reliable data pipelines.

Free tierMedium India relevanceVisit Great Expectations

About

Great Expectations is an open-source Python library that helps data teams validate, document, and test data pipelines. It enables users to set expectations about data quality and automatically validate data against those expectations, catching issues early. The tool is designed for data engineers, analysts, and ML practitioners working with large datasets. It integrates seamlessly with popular data tools and provides comprehensive documentation and testing capabilities.

Problem it solves

Ensures data quality and reliability in data pipelines through automated validation and testing.

Best for

Data engineers, analytics engineers, ML teams, and organizations managing large data pipelines

Key features

Data quality validation and testing
Automated expectation management
Comprehensive data documentation
Integration with data platforms

Tags

data-validationdata-qualitytestingdata-engineeringopen-source

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