# Buildsheet autogenerated by ravenadm tool -- Do not edit. NAMEBASE= python-pydantic VERSION= 2.11.3 KEYWORDS= python VARIANTS= v12 v13 SDESC[v12]= Data validation using Python type hints (3.12) SDESC[v13]= Data validation using Python type hints (3.13) HOMEPAGE= https://github.com/pydantic/pydantic CONTACT= Python_Automaton[python@ironwolf.systems] DOWNLOAD_GROUPS= main SITES[main]= PYPIWHL/b0/1d/407b29780a289868ed696d1616f4aad49d6388e5a77f567dcd2629dcd7b8 DISTFILE[1]= pydantic-2.11.3-py3-none-any.whl:main DIST_SUBDIR= python-src DF_INDEX= 1 SPKGS[v12]= single SPKGS[v13]= single OPTIONS_AVAILABLE= PY312 PY313 OPTIONS_STANDARD= none VOPTS[v12]= PY312=ON PY313=OFF VOPTS[v13]= PY312=OFF PY313=ON USES= cpe DISTNAME= pydantic-2.11.3.dist-info CPE_PRODUCT= pydantic CPE_VENDOR= pydantic_project GENERATED= yes [PY312].RUN_DEPENDS_ON= python-annotated-types:single:v12 python-pydantic-core:single:v12 python-typing-extensions:single:v12 python-typing-inspection:single:v12 [PY312].USES_ON= python:v12,wheel [PY313].RUN_DEPENDS_ON= python-annotated-types:single:v13 python-pydantic-core:single:v13 python-typing-extensions:single:v13 python-typing-inspection:single:v13 [PY313].USES_ON= python:v13,wheel [FILE:2212:descriptions/desc.single] # Pydantic [CI] [Coverage] [pypi] [CondaForge] [downloads] [versions] [license] [Pydantic v2] [![llms.txt]](https://docs.pydantic.dev/latest/llms.txt) Data validation using Python type hints. 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. ## Pydantic Logfire :fire: We've recently launched Pydantic Logfire to help you monitor your applications. [Learn more] ## Pydantic V1.10 vs. V2 Pydantic V2 is a ground-up rewrite that offers many new features, performance improvements, and some breaking changes compared to Pydantic V1. If you're using Pydantic V1 you may want to look at the [pydantic V1.10 Documentation] or, [`1.10.X-fixes` git branch]. Pydantic V2 also ships with the latest version of Pydantic V1 built in so that you can incrementally upgrade your code base and projects: `from pydantic import v1 as pydantic_v1`. ## Help See [documentation] for more details. ## Installation Install using `pip install -U pydantic` or `conda install pydantic -c conda-forge`. For more installation options to make Pydantic even faster, see the [Install] section in the documentation. ## A Simple Example ```python from datetime import datetime from typing import Optional from pydantic import BaseModel class User(BaseModel): id: int name: str = 'John Doe' signup_ts: Optional[datetime] = None friends: list[int] = [] external_data = {'id': '123', 'signup_ts': '2017-06-01 12:22', 'friends': [1, '2', b'3']} user = User(**external_data) print(user) #> User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3] print(user.id) #> 123 ``` ## Contributing For guidance on setting up a development environment and how to make a contribution to Pydantic, see [Contributing to Pydantic]. ## Reporting a Security Vulnerability See our [security policy]. ## Changelog ## v2.11.3 (2025-04-08) [GitHub release] ### What's Changed #### Packaging * Update V1 copy to v1.10.21 by [@Viicos] in [#11706] #### Fixes * Preserve field description when rebuilding model fields by [@Viicos] in [#11698] ## v2.11.2 (2025-04-03) [GitHub release] [FILE:122:distinfo] a082753436a07f9ba1289c6ffa01cd93db3548776088aa917cc43b63f68fa60f 443591 python-src/pydantic-2.11.3-py3-none-any.whl