pydantic

Install

pydantic on PyPI

pip install pydantic

uv add pydantic

poetry add pydantic

Package facts

Evidence: pydantic-2.13.4-py3-none-any.whl

About pydantic

from the package's own PyPI description — quoted content, verbatim

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Pydantic validates Python data structures against type hints, converting and coercing input to match declared schemas with minimal boilerplate. It powers data parsing, API request/response validation, and configuration management across Python 3.9+.

Low friction: pure wheel distribution, only four runtime dependencies (annotated-types, pydantic-core, typing-extensions, typing-inspection), all lightweight. Active maintenance with 99 days since last release and production-stable status.

MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal obligations—only attribution required.

pip install pydantic

from pydantic import BaseModel
from datetime import datetime
from typing import Optional

class User(BaseModel):
    id: int
    name: str = 'John Doe'
    signup_ts: Optional[datetime] = None

user = User(id='123', signup_ts='2017-06-01 12:22')
print(user.id, user.signup_ts)

Verdict: Pydantic 2.13.4 is a mature, actively maintained validation library in the top 100 PyPI packages with zero known vulnerabilities, permissive MIT licensing, and minimal install friction. Recommended for production use in data validation, API frameworks, and configuration management.

Needs verification

• Whether pydantic-core's Rust compilation adds meaningful install time on less common platforms (e.g., Alpine, ARM).
• Performance characteristics compared to alternatives for very large or deeply nested data structures.

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