AI Frameworks
Pydantic
Python's de facto data validation library. Type-hint-driven models, fast Rust-based core (v2), and the foundation of FastAPI, LangChain, and most Python AI tooling.
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Pydantic uses Python type hints to define data models with full runtime validation. v2 rewrote the core in Rust, making it one of the fastest validation libraries in any language. It is the validation layer under FastAPI, the structured-output spec for OpenAI's Python SDK, the schema layer for LangChain tools, and the backbone of Pydantic AI. If you do anything with structured data in Python, you reach for Pydantic.
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Structured data extraction from any LLM using Pydantic models. Automatic retries, validation, and streaming. 3M+ monthly downloads. Available in Python, TypeScript, Go, Ruby, and Rust.
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Python's de facto data validation library. Type-hint-driven models, fast Rust-based core (v2), and the foundation of FastAPI, LangChain, and most Python AI tooling.
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The TypeScript toolkit for building AI apps. Unified API across OpenAI, Anthropic, Google. Streaming, tool calling, structured output, multi-step agents. 50K+ GitHub stars.
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