Pydantic is the AI engineering stack for teams building with AI. Observe with Logfire, evaluate with Evals, build type-safe agents with Pydantic AI, and track costs with AI Gateway.
Data Validation
Ensures data integrity and correctness with minimal effort.
Open Source
Promotes transparency and collaboration within the developer community.
Integration with FastAPI
Streamlines data handling in FastAPI applications.
Support for Generative AI
Facilitates the development of production-grade applications with AI capabilities.
Pydantic is a powerful data validation and settings management library for Python, built on the principles of open source. It allows developers to define data models using Python type annotations, providing automatic validation, serialization, and deserialization of data. The library is designed to enhance the developer experience by making data handling efficient, safe, and enjoyable, and is widely used across various organizations and projects.
Pydantic supports complex data types, including nested models, and leverages Python's type hints for validation. It is compatible with Python 3.6 and above.
Building APIs with FastAPI
Validating configurations in applications
Developing applications that utilize generative AI
Pydantic is used for data validation and settings management in Python applications.
Yes, Pydantic is an open source library that encourages transparency and community contributions.
Yes, while Pydantic is the backbone of FastAPI, it can be used in any Python application for data validation.
