Pydantic

Developer toolsCodingOpen Source

What is Pydantic?

Pydantic is a widely-used data validation library for Python. It leverages type hints for schema validation and serialization. The library is fast, extensible, and integrates with IDEs and static analysis tools. Pydantic supports JSON Schema, strict and lax modes, and custom validators. It is trusted by major organizations and used in popular Python libraries.

Features

Validation powered by Python type hints

Core logic written in Rust for high speed

JSON Schema generation for easy integration

Supports strict and lax validation modes

Custom validators and serializers for flexibility

Links

Website Documentation

Pros and Cons of Pydantic

Pros

Seamless integration with IDEs and linters

High performance due to Rust implementation

Wide adoption in the Python ecosystem

Supports dataclasses, TypedDicts, and more

Customizable validation and serialization

Cons

Limited to Python ecosystem

Customization may require advanced knowledge

Pydantic Use Cases

Validating API request and response data

Generating JSON Schema for APIs

Serializing data to JSON or Python dicts

Enforcing strict data validation rules

Integrating with FastAPI and other libraries

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