3 tools
Great Expectations project (open-source stewardship by Fivetran) · Data quality & validation
Python data-quality framework that declares Expectations about datasets, validates them against pandas, Spark or SQL sources and produces Data Docs
Union.ai (Pandera project, created by Niels Bantilan) · Data quality & validation
Lightweight Python library for declaring and validating DataFrame schemas for pandas, Polars, PySpark and other backends, with type-hint style models
Pydantic Services Inc. · Data quality & validation
Python data-validation library using type hints to parse, validate and serialize models, with a Rust core; the schema layer behind FastAPI and many LLM SDKs
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