Developer builds Python ORM backed by Rust engine to speed up async database queries

A developer created yara-orm, an async Python ORM modeled after Tortoise ORM, but with its core engine — connection pooling, parameter binding, and row decoding — written in Rust using PyO3. The goal was to improve performance on read-heavy database paths without switching to SQLAlchemy. The project runs two schedulers simultaneously: Python's asyncio event loop on the main thread and Tokio's multi-threaded runtime handling actual database I/O in the background. The key engineering challenge was managing Python's Global Interpreter Lock (GIL) so that database I/O operations could proceed on background threads without blocking the event loop. This was achieved by converting Python values into owned Rust types before any I/O begins, ensuring the GIL is released for the duration of network operations.