I built a Python ORM with a Rust engine — here's how the GIL, PyO3, and asyncio actually cooperate

1. 1Build a Python ORM using Tortoise ORM as a reference
2. 2Use PyO3 to create a Rust engine for the ORM
3. 3Configure asyncio to handle asynchronous database queries
4. 4Apply the GIL limitation workaround using Rust and PyO3
5. 5Test the performance of the ORM with the Rust engine

This project benefits backend engineers and data scientists who need to optimize database interactions in high-performance applications, and can be applied by software engineers and devops teams to improve system efficiency

💡 PyO3 and asyncio can be used together to overcome the GIL limitation and create a high-performance Python ORM with a Rust engine

🚀 Boost your Python ORM's performance with a Rust engine! 🤯