Pydantic is a Python library used for data validation and settings management. It leverages Python type hints to validate data and manage settings. Pydantic ensures that data structures, such as classes and dictionaries, contain valid and correctly typed data before processing. It automatically converts and validates incoming data, which helps developers write cleaner and more reliable code.
Key features of Pydantic include data validation, data parsing, error handling, and field validators. Pydantic models inherit from the BaseModel class, which provides functionalities such as field definition, type enforcement, and built-in validation. The library supports defining default values, adding validation constraints, and including metadata for model attributes through the Field function. Pydantic is designed for speed and supports Cython extensions for faster performance, integrating seamlessly with frameworks like FastAPI, Django, and Flask.
