Show HN: Hana JIT – LLVM-backed Python JIT with genetic-algorithm superoptimizer

Category: infrastructure

Tags: jit-compiler, python-performance, llvm-backend, numpy-acceleration, genetic-algorithm

Score: 7.8/10 (Innovation: 8, Technical: 9, Documentation: 7, Utility: 7)

Hana JIT is an LLVM-backed JIT compiler for Python that compiles ordinary functions and NumPy code to native machine code, with a genetic-algorithm superoptimizer to automatically find optimal compilation strategies. Its fusion engine eliminates temporary array allocations for NumPy expressions, achieving significant speedups over both CPython and Numba, while its novel design requires no type annotations or DSL changes. The combination of a genetic optimizer, vectorized dispatching, and opt-in parallelism makes it a notable contribution to Python performance tooling.

Target audience: backend devs, data engineers, ml engineers, scientific computing devs

Repository: https://github.com/ezducate/HanaJit · Python · Apache-2.0

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