Async Python has proven faster in my uses for IO and non-CPU-related stuff. But I think Python, either as a community or within the language, needs to solve the anti-pattern of maintaining separate sync and async versions of a library. I'm thinking specifically of aioredis and redis-py, both of which I've worked on.
Some people are looking at ways to solve this. I know urllib3, elasticsearch-py, and a few others use unasync (https://github.com/python-trio/unasync) to transform async code into sync code, leaving one codebase supporting both uses in different namespaces. This leaves you with some conditional logic (is_async_mode() -- https://github.com/python-trio/hip/blob/master/src/ahip/util...). I'm seriously considering this approach.
Some people are looking at ways to solve this. I know urllib3, elasticsearch-py, and a few others use unasync (https://github.com/python-trio/unasync) to transform async code into sync code, leaving one codebase supporting both uses in different namespaces. This leaves you with some conditional logic (is_async_mode() -- https://github.com/python-trio/hip/blob/master/src/ahip/util...). I'm seriously considering this approach.