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At this point we should build a "Awesome Python Compilers" repo ... oh wait, it obviously already exists: https://github.com/pfalcon/awesome-python-compilers
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In someone lands here seeking a maintained compiler for Python, there's a lot, on top of my head:
- Pythran (https://pythran.readthedocs.io) (ahead of time compiler)
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Do any of these JITs/compilers help with machine learning model building? (Mentioned explicitly in the s6 repo)
e.g. PyPy doesn't work with PyTorch https://github.com/pytorch/pytorch/issues/17835
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I like Julia, but I'm not sure it has enough investment to really dethrone Python.
I know it's not the perfect metric, but when evaluating the livelihood of a language I like to look at the reference implementation commit frequencies.
In the past week CPython had 40 commits to it's repo: https://github.com/python/cpython/graphs/commit-activity
Julia had 2:
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https://github.com/JuliaLang/julia/graphs/commit-activity
For comparison, here are some JS engines:
V8 148:
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