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Data/Schema Validation
Lightweight Data Validation
★ 4.5
Fast Validation Library
★ 4.2
pip install cerberuspip install validrpip install cerberuspip install validrEngineers use Cerberus to validate incoming records in ETL pipelines — defining a schema dict that specifies expected types and constraints, then calling `v.validate(record)` for each row. Invalid records are logged or quarantined based on `v.errors`, keeping bad data out of the warehouse while processing continues.
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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