Type Enforced is a zero-dependency Python library (plus an automatic C++ build with fallback if you have a compiler) for high-throughput runtime type validation. It verifies standard and nested type annotations on callables very fast.

For a simple int validation, it adds ~10 nanoseconds of overhead (less than a frame call) by manipulating the code via AST. Other performance gains if using the C++ variant include loop unrolling for complete nested checks and much more.

On a practical level, it speeds up development for humans and AI agents alike.

It's ~15x faster than beartype for sampled validation It's ~20x faster than pydantic for full validation

Benchmarks: https://github.com/connor-makowski/type_enforced/blob/main/b...

Example: ```python from type_enforced import Enforcer

@Enforcer def process_point(x: float) -> dict[str,float|int]: return {"point": x}

process_point(1.5) process_point("invalid") # Raises error ```