Pydantic is a popular data validation library for Python that simplifies the creation of production-grade applications with generative AI through its agent framework, PydanticAI.
PydanticAI is an agent framework to make it less painful to build production grade applications with generative AI.
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> pip install pydantic-ai
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Pydantic is built on the pillars of open source: transparency, collaboration and excellence. Our origins inform every product we craft. Whether it’s a community project or enterprise solution, developer experience is our cornerstone.
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from datetime import datetime
from typing import Tuple
from pydantic import BaseModel
class Delivery(BaseModel):
timestamp: datetime
dimensions: Tuple[int, int]
m = Delivery(timestamp='2020-01-02T03:04:05Z', dimensions=['10', '20'])
print(repr(m.timestamp))
#> datetime.datetime(2020, 1, 2, 3, 4, 5, tzinfo=TzInfo(UTC))
print(m.dimensions)
#> (10, 20)pydantic
pydantic
The most popular data validation library for Python
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PydanticAI
Agent Framework / shim to use Pydantic with LLMs
view in github
jiter
The fast, iterable JSON parser
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arq
Fast job queuing and RPC in Python
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speedate
Date, time and duration parsing for Rust
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The Pydantic Library is used and trusted by some of the biggest organizations in the world — and millions of individual developers, too.
We use Pydantic across key parts of our research and products, and it has accelerated our work considerably.
Atty Eleti Member of Technical Staff at OpenAI
OUR MISSION
Driven by curiosity, frustration and coffee
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/Pydantic
The Eval has landed 🦅
Samuel Colvin2025/04/02
/ReleasePydantic v2.11