great-expectations/great_expectations
Always know what to expect from your data.
Provides declarative Expectations—composable data validation rules with automatic documentation generation—that integrate with pandas, Spark, SQL databases, and cloud data warehouses through a pluggable data source architecture. Built around a Data Context that manages validation workflows, checkpoint configurations, and result storage, enabling teams to version control data quality definitions and embed validation gates into ETL/ELT pipelines.
11,270 stars and 28,611,638 monthly downloads. Used by 3 other packages. Actively maintained with 32 commits in the last 30 days. Available on PyPI.
Stars
11,270
Forks
1,697
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 18, 2026
Monthly downloads
28,611,638
Commits (30d)
32
Dependencies
18
Reverse dependents
3
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