Why use Pydantic? Powered by type hints — with Pydantic, schema validation and serialization are controlled by type annotations; less to learn, less code to write, and integration with your …

Oct 24, 2025 · The Pydantic library in Python is used for data validation and data parsing using Python type hints. It ensures that data structures like classes, dictionaries or API inputs …

Nov 26, 2025 · Pydantic v2.11 is a version strongly focused on build time performance of Pydantic models (and core schema generation in general). This is an early alpha release, meant to …

Discover the power of Pydantic, Python's most popular data parsing, validation, and serialization library. In this hands-on tutorial, you'll learn how to make your code more robust, trustworthy, …

The name "Pydantic" is a portmanteau of "Py" and "pedantic." The "Py" part indicates that the library is associated with Python, and "pedantic" refers to the library's meticulous approach to …

Jan 10, 2017 · Fast and extensible, Pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.9+; validate it with Pydantic. We've recently …

Jun 25, 2025 · Pydantic is Python’s most popular data validation library that can turn type hints into runtime validation rules. Instead of writing dozens of if isinstance() checks and custom …

In Pydantic, the term "validation" refers to the process of instantiating a model (or other type) that adheres to specified types and constraints. Pydantic guarantees the types and constraints of …

Feb 17, 2025 · Pydantic is a popular data validation and serialization library for Python. It enforces type hints at runtime, ensuring that your data conforms to the expected structure while offering …

The fields of a model can be inspected using the model_fields class attribute (or the __pydantic_fields__ attribute for Pydantic dataclasses). It is a mapping of field names to their …