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Both 'pypy' and 'gevent' are supposed to provide high performance. Pypy is supposedly faster than CPython, while gevent is based on co-routines and greenlets, which supposedly makes for a faster web server.
However, they're not compatible with each other.
I'm wondering which setup is more efficient (in terms of speed/performance):
or:
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Python Version We recommend using the latest version of Python 3. Flask supports Python 3.5 and newer, Python 2.7, and PyPy.
The charming gevent library will enable you to keep using Flask while start benefiting from all the I/O being asynchronous.
gevent allows writing asynchronous, coroutine-based code that looks like standard synchronous Python. It uses greenlet to enable task switching without writing async/await or using asyncio . eventlet is another library that does the same thing.
For reference, the Flask benchmarks on techempower give 25,000 requests per second.
The short answer is: It's faster with PyPy, and it has higher concurrency with gevent.
It is possible to use gevent and PyPy simultaneously (we do this at PubNub for multiple projects) although it can be tricky. Starting with PyPy 2.2, a few patches are required to gevent on their socket implementation. We have an experimental branch on github for it: https://github.com/pubnub/gevent/tree/pypy-hacks - To be used in conjunction with pypycore.
Our recommendation? Use Flask with PyPy and gevent. Get the best of both worlds!
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