numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- let `new_style` be a superset of `old_style`?
- objects from the jitclass lose dynamic features about the class attributions
- `sign` with complex values does not match numpy 2.0
- lack of overflow check and incorrect type init when using jitclass
- Omitted default argument not working
- unsupported keyword arguments and type inference unification limitation with `np.maximum`
- Inverting matrices with large condition numbers
- Failure in `test_TestPrangeSpecific`
- jit wrapped numpy sort & unique is more than 5x slower
- Caching is useless on higher order functions
- Docs
- Python not yet supported