Pydantic Validation
Know more. Build faster.

The Pydantic platform gives devs visibility to stay in flow, from local to prod, from AI to API.

Ship robust apps faster, in Python, TypeScript, Rust and others.

  • Schema [OSS]

    Pydantic Validation

    Maps the way

    Data validation for Python:

    • Most widely used data validation library for Python
    • Enforces standard type annotation
    • Plays nicely with type checkers, IDEs and your brain
    • Fast and extensible

  • Agents [OSS]

    Pydantic AI

    Speeds the way

    Agent framework / LLM library for Python:

    • Type safe and ready to build production grade applications
    • Model agnostic: Support for all popular LLM providers
    • OpenTelemetry integration

  • Observability [OSS + SAAS]

    Pydantic Logfire

    Lights the way

    OpenTelemetry traces, logs and metrics:

    • Developer tool and production monitoring
    • General purpose O11y with first-class support for AI
    • Custom SDK for Python, JS and Rust, standard OTel for other languages

Complete AI Application Observability

Monitor LLM calls, agent reasoning, and your entire AI stack with Pydantic Logfire's AI observability platform — from local development to production.

Respected builders of open source, for Python & beyond

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.

Pydantic Validation is used and trusted by millions of individual developers - and some of the biggest organizations in the world, 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

Pydantic is incredibly powerful and a must use tool for AI engineers.

Logan Kilpatrick Lead product for Google AI Studio

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

Integrations that run on the Datadog Agent use Pydantic models that are generated from an OpenAPI spec to validate configuration which has drastically reduced customer confusion and support cases that we have to triage.

Ofek Lev Senior Software Engineer at Datadog

If you're not using Python yet, you should. If you're not using Pydantic yet with Python, you should. Pydantic is the data backbone of FastAPI, but even if you don't use FastAPI, Pydantic is extremely useful. There's always data, and handling data with Pydantic is several times more efficient and safer than without it and much more enjoyable.

Sebastián Ramírez creator of FastAPI
OUR MISSION

Driven by curiosity, frustration and coffee

Learn more about the creators of Pydantic, our mission and open source ethos. And see how you can get involved.

Our articles

/Open Source

Pydantic joins the Agentic AI Foundation

Laís Carvalho
Laís Carvalho
/Logfire

Pydantic Logfire Pricing is Changing

Samuel Colvin
Samuel Colvin