[Python] How to detect memory leaks in Python when using asynchronous tasks with asyncio?

I’m working on a Python project using asyncio for concurrent tasks. Over time, the memory usage seems to grow unexpectedly. I suspect there might be memory leaks related to the way I manage async tasks or coroutines.

What are the best practices or tools to detect and diagnose memory leaks specifically in async Python code using asyncio? Are there common pitfalls that cause leaks in this context?

Here’s a minimal example of my async task setup:

import asyncio

async def worker():
while True:
await asyncio.sleep(1)
# Some processing here

async def main():
tasks = [asyncio.create_task(worker()) for _ in range(5)]
await asyncio.gather(*tasks)

asyncio.run(main())


How can I monitor and debug potential leaks in such a scenario?

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