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Libraries that ensure incoming data conforms to expected formats and types to prevent processing errors.
Distinguishing note: Focuses on input validation and sanitization, distinct from general security hardening.
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Pydantic is a data validation and serialization library that enforces schema constraints and performs type conversion on complex data structures. It utilizes standard Python type annotations to define data models, allowing developers to establish structured schemas that automatically enforce business rules and constraints without the need for custom domain-specific languages. The library distinguishes itself by transforming high-level model definitions into optimized code during initialization to minimize runtime overhead. It supports recursive validation for nested data structures and employ
Ensures incoming data from external sources matches expected formats and types before processing.