marshmallow validates and transforms structured application data with declarative schemas, custom fields, nested objects, and serialization.
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marshmallow validates and transforms structured application data with declarative schemas, custom fields, nested objects, and serialization.
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Pydantic validates structured data using Python type hints, with custom validators, strict typing, serialization, and JSON Schema generation.
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Cerberus validates dictionaries with declarative schemas, type checks, dependencies, normalization rules, and extensible custom validators.
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Valideer checks and transforms structured values with declarative schemas, built-in validators, custom rules, and detailed errors.
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Colander validates and converts structured data using schemas for mappings, sequences, strings, numbers, dates, and custom types.
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Voluptuous validates nested data structures using composable schemas, callable validators, required fields, transformations, and error reporting.
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schema checks Python data structures using readable validation rules, nested schemas, optional fields, custom checks, and data conversion.
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jsonschema validates JSON-compatible data against schemas, supports multiple JSON Schema drafts, and provides detailed error reporting.
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