Pydantic

About Pydantic

Data validation and settings management library using Python type annotations. Ensures data conforms to defined schemas with Python's typing module, perfect for FastAPI and modern Python apps.

Key Features

• 1Runtime data validation using standard Python type annotations
• 2Automatic coercion of incoming data to declared types
• 3Clear, structured error messages with field-level detail
• 4JSON Schema generation from model definitions
• 5Settings management via `BaseSettings` for environment variable loading

How Python Data Engineers Use Pydantic

Python data engineers use Pydantic models as the schema layer at pipeline boundaries — validating API responses, Kafka message payloads, or CSV rows before they enter the processing logic. Defining a Pydantic model for your data contract catches type mismatches and missing fields early, preventing malformed data from propagating downstream.