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Great Expectations

MLOps Free

Great Expectations is an open-source data quality framework that enables data engineering teams to define, document, and validate data quality expectations for their pipelines through a declarative Python API that generates human-readable documentation automatically. It integrates with Airflow, dbt, Spark, and major data warehouses to enforce data quality checks at pipeline checkpoints, catching data issues before they corrupt downstream models or dashboards. Data engineers and analytics engineers use Great Expectations to implement systematic data validation that prevents the silent data quality failures that erode trust in data products and ML models over time.

💰 Pricing
Free
📂 Category
MLOps
🏷️ Tags
mlops, data-quality, testing
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