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Data/Schema Validation
DataFrame Validation
★ 4.7
Fast Validation Library
★ 4.2
pip install panderapip install validrpip install panderapip install validrData engineers use Pandera to add data quality gates to pandas pipelines — defining a `DataFrameSchema` that specifies expected column types, nullable rules, and value ranges, then decorating functions with `@pa.check_input` and `@pa.check_output` to validate DataFrames automatically at each pipeline stage without changing business logic.
Validr is used in high-throughput data pipelines where validation latency matters. Engineers define a schema string once, compile it to a `Validator` object, and call it on every incoming message — its compiled approach keeps validation overhead minimal even when processing millions of records per hour.
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