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Pydantic's Practical Type Meaning
- Pydantic became popular by giving practical meaning to Python types and coalescing them into validation and parsing.
- Its lax coercion, like parsing strings to integers, sets it apart by making it useful for real-world applications.
Pydantic's Web API Fit
- Pydantic is particularly suited to web APIs because it validates untrusted data from strings, JSON, and query parameters.
- It improves developer experience by turning loosely typed input into safely typed Python data.
Pydantic Core Rewritten in Rust
- I experimented by rewriting Pydantic's core in Rust, leading to pydantic-core which is much faster.
- Rust's features also allow truly recursive validation without a performance penalty.