What are the performance differences between concurrency libraries?

What are the performance differences between concurrency libraries?

Concurrency libraries like asyncio, threading, and multiprocessing have different performance characteristics. For example, asyncio is great for I/O-bound tasks, while multiprocessing excels in CPU-bound tasks.

Can you provide benchmarks for these libraries?

Sure! Benchmarks show that asyncio can handle thousands of I/O-bound tasks efficiently, while multiprocessing can significantly speed up CPU-bound tasks by utilizing multiple cores.

What factors should I consider when choosing a concurrency library?

You should consider the nature of your tasks (I/O-bound vs CPU-bound), ease of use, community support, and the specific features each library offers.

Are there any libraries that combine both approaches?

Yes, libraries like Trio and Curio offer a blend of async programming with structured concurrency, making them suitable for both I/O and CPU-bound tasks.