Just because pypy is faster than cpython on a handful of test cases doesn't make it worthy of corporate sponsorship. I would sponsor development if it made a noticeable improvement.
Not to belittle the project, but I tried a vanilla order entry implementation on my test box in nasdaq. Essentially it runs an epoll loop using a C extension to take advantage of the myricom DBL calls. RT latency was roughly 5 usec faster using cpython. As for other parts of the system (eg feed handler), the performances were comparable.
For other applications (eg compliance reporting) pypy is 2x cpython speed, but I could care less about that timing (even if it ran 1000x slower than cpython, it wouldn't matter)
TL;DR: it needs to be useful. And I just don't see the usefulness for my Python applications.
Comments
Just because pypy is faster than cpython on a handful of test cases doesn't make it worthy of corporate sponsorship. I would sponsor development if it made a noticeable improvement.
Not to belittle the project, but I tried a vanilla order entry implementation on my test box in nasdaq. Essentially it runs an epoll loop using a C extension to take advantage of the myricom DBL calls. RT latency was roughly 5 usec faster using cpython. As for other parts of the system (eg feed handler), the performances were comparable.
For other applications (eg compliance reporting) pypy is 2x cpython speed, but I could care less about that timing (even if it ran 1000x slower than cpython, it wouldn't matter)
TL;DR: it needs to be useful. And I just don't see the usefulness for my Python applications.