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Pydantic is a data validation library and parsing framework for Python. It functions as a type-based schema validator that uses standard Python type annotations to ensure input data conforms to predefined structural schemas.
The main features of samuelcolvin/pydantic are: Runtime Type Guards, Data Parsing Utilities, Data Serialization and Parsing, Data Type Validation, Data Validation Libraries, Data Validation Schemas, Schema-Based State Validation, Type-Hint-Based Schema Definitions.
Open-source alternatives to samuelcolvin/pydantic include: open-circle/valibot — Valibot is a modular, type-safe schema library for validating and parsing structural data in TypeScript environments. ajv-validator/ajv — Ajv is a high-performance data validation framework that compiles JSON schemas into optimized, standalone JavaScript… colinhacks/zod — Zod is a TypeScript-first schema declaration and validation library designed to ensure end-to-end data integrity. It… jquense/yup — Yup is a JavaScript schema validation library used to define data shapes and validate runtime values. It functions as… aws-powertools/powertools-lambda-python — AWS Powertools for Python is a utility framework designed for building production-ready Python functions on AWS… hapijs/joi — Joi is a JavaScript data validation library used to define schemas that validate, cast, and sanitize data objects. It…
Valibot is a modular, type-safe schema library for validating and parsing structural data in TypeScript environments.
Ajv is a high-performance data validation framework that compiles JSON schemas into optimized, standalone JavaScript functions. By transforming declarative schema definitions into executable code, it eliminates runtime interpretation overhead and provides a secure, efficient way to enforce data integrity across both browser and server environments. The library distinguishes itself through its focus on performance and type safety. It employs advanced compilation techniques, including abstract syntax tree optimization and function caching, to ensure rapid validation. Beyond standard checks, it
Zod is a TypeScript-first schema declaration and validation library designed to ensure end-to-end data integrity. It functions as a runtime type guard, allowing developers to define complex data structures through a declarative, chainable syntax. By using these schema definitions, the library automatically derives static TypeScript types, eliminating the need for manual type duplication and ensuring that runtime data matches expected application contracts. The library distinguishes itself through functional schema composition, which enables the creation of hierarchical structures by nesting a
Yup is a JavaScript schema validation library used to define data shapes and validate runtime values. It functions as an object schema validator and a data coercion engine, allowing developers to transform raw input values into desired types before performing validation checks. The library is distinguished by its support for dynamic schema validation, where rules can be adjusted at runtime based on sibling field values or external context. It also enables recursive data structuring for polymorphic fields and provides a system for extracting static TypeScript interfaces from runtime schema def