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Editorial Team
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Editorial Team
Asked: May 26, 20262026-05-26T06:53:40+00:00 2026-05-26T06:53:40+00:00

I’d like to write a performance-sensitive application in Python, so executing it under PyPy

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I’d like to write a performance-sensitive application in Python, so executing it under PyPy is a natural choice. However, a significant portion of my code depends on numpy, scipy, and scikit-learn. Would it be possible to embed a CPython instance within a running PyPy program in order to call array-oriented code? If not, what’s the easiest way to make PyPy and CPython talk to each other?

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  1. Editorial Team
    Editorial Team
    2026-05-26T06:53:41+00:00Added an answer on May 26, 2026 at 6:53 am

    No, you can’t embed CPython inside PyPy AFAIK. You can, however, use distributed/parallel execution systems to make PyPy talk to CPython. Both execnet and Pyro mention this precise PyPy <-> CPython use case. Other packages from Python Wiki’s Parallel Processing page are probably suitable too.

    Also, as delnan mentions, there’s a current discussion about PyPy developers’ plan on implementing Numpy in PyPy (which doesn’t include support for scipy, and scikit.learn so far).

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