Great Expectations

Great Expectations (GX) is a data quality platform designed to help data teams catch data problems early, maintain stakeholder alignment, and deliver reliable data for critical decisions. It provides tools to validate data across pipelines, establish a common language for data quality, and build trust between technical and business teams. GX aims to make data governance an everyday practice by moving beyond policy checklists to actionable governance that ensures data accuracy, transparency, and compliance at scale. The platform offers both an open-source core and a cloud-based solution. GX Core is a flexible, Python-based framework for writing data quality tests that integrate into existing data workflows, allowing users to validate data where it lives and plug structured results into CI/CD, alerting, or dashboards. GX Cloud enhances this with features like built-in observability, collaboration tools, and automated test generation using ExpectAI, enabling real-time data health monitoring and proactive alerts before bad data causes damage. It's built for modern data systems, addressing their complexity and fragility by providing the means to identify and resolve data issues during development, before data moves downstream, and in production.