[chestertn]

I will save you the pain: switch to Julia.

[m_c_g]

Indeed! Converting one's entire code base to a different language ecosystem, finding equivalents to each of your third-party dependencies, is less painful than employing a library to selectively compile a few performance bottlenecks in your code.

(Modules like PyJulia facilitate a more incremental approach.)

[xigoi]

That's why you should switch before creating the codebase in the first place.

[asidogbniobio]

Normally I'd agree with your sarcasm, but Python is such a disaster that I am in favor of ditching it ASAP in favor of literally anything else.

[Alifatisk]

/s

[rg111]

I don't recommend Julia for anything critical to production.

[ChrisRackauckas]

I would. It's much safer than Python which has a package ecosystem that is known to be critically unsafe. https://pytorch.org/blog/compromised-nightly-dependency/ is just the latest example of security issues it's been having, https://moyix.blogspot.com/2022/09/someones-been-messing-wit... is general numerical incorrectness which is non-local and cannot be turned off, and that's not even getting to the specific inaccuracies of Numba. I'd switch away from a numerically incorrect security issue today!