samuelcolvin/pydantic
Pydantic
Pydantic 是一个 Python 数据验证库和解析框架。它作为一个基于类型的模式验证器，使用标准的 Python 类型注解来确保输入数据符合预定义的结构模式。
该项目提供了通过自动类型转换和验证将原始数据解析为类型化对象的功能。这包括数据的序列化和数据结构的验证，以强制执行正确性。
该框架涵盖了多个应用领域，包括 API 请求的验证和应用程序配置的管理。它允许将 JSON 等原始格式转换为结构化的 Python 对象。
Features
- Runtime Type Guards - Provides a runtime engine that inspects data at application boundaries to ensure strict schema compliance.
- Data Parsing Utilities - Provides a framework for converting serialized data formats into typed, usable Python objects.
- Data Serialization and Parsing - Converts raw formats like JSON into structured Python objects with automatic type conversion.
- Data Type Validation - Ensures input data conforms to defined schemas by checking values against Python type constructors.
- Data Validation Libraries - Enforces runtime schema validation and data integrity checks on external data at application boundaries.
- Data Validation Schemas - Provides utilities for defining data structures and enforcing type safety on raw input data.
- Schema-Based State Validation - Implements type-safe parsing and validation of application inputs based on predefined schemas.
- Type-Hint-Based Schema Definitions - Leverages standard Python type annotations to define expected data structures and validation rules.
- Data Coercion Utilities - Implements automatic casting of input values into target types during the validation process.
- Recursive Data Models - Supports complex, hierarchical data structures by allowing models to be nested recursively.
- Configuration Validation - Verifies application configuration files and environment variables against predefined structural schemas.
- Request Validation - Verifies that incoming HTTP requests contain required fields and correct types before processing.
- Data Model Generation - Employs Python metaclasses to transform class definitions into validated data models at declaration time.
- 代码质量工具 - 使用 Python 类型提示验证数据。
- Linting And Formatting - Data parsing and validation using Python type hints.
- Runtime Type Checkers - Data validation and parsing library leveraging Python type hints.
- Serialization and Mapping - Provides data parsing and validation using type hints.
