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Your PyPy point is fair. A PyPy-oriented optimization effort could have improved performance. N/s by what magnitude though.

I did extensive benchmarking until there were no more hot spots, didn't help. Dropping into C or Cython was a non-goal. For dev an embedded Python web server is convenient but it doesn't have to be fast. When it comes to performance, it always makes more sense to use a native-code web server in production.

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I mentioned profiling and benchmarking because they were missing. Totally agree with you, Python implemented servers are usually used in dev ops, and then you move to a "standard" http-server (be that nginx, apache, whatever).

I still think that a Python server can have it's use, and there's nothing wrong in trying to make it as fast as posible.

I'm curious, why were C/Cython non-goals?

"Dropping into C or Cython was a non-goal."

Why not Cython?

at the time, I preferred to write it completely in C++ than have a mixed Python/Cython codebase.

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