Great Expectations
A Python library for data quality testing and validation using expressive, extensible Expectations.
What is Great Expectations?
Great Expectations (GX Core) is a Python library that enables data teams to define, test, and validate data quality using expressive rules called Expectations. It solves the problem of unreliable data by providing automated testing and documentation tools that help ensure data integrity and trustworthiness. The library fosters collaboration by giving teams a common language to express and enforce data quality standards.
Data engineers, data scientists, and data teams who need to ensure data quality, validate data pipelines, and maintain reliable datasets for analytics and machine learning.
Developers choose Great Expectations for its powerful, community-driven approach to data validation, which combines extensible testing with automated documentation to simplify data quality processes and preserve institutional knowledge.
Overview
Always know what to expect from your data.
Use Cases
Best For
- Automating data quality checks in ETL pipelines
Related Projects
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