numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- 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
- nb.optional doesn't work with nb.types.NamedTuple
- Specialized CUDA kernels lose a reference to the cache
- Added basic setup for getting raw LLVM remarks output
- cumprod method doesn't upcast unsigned integer array
- Upcast unsigned integer dtypes in cumsum and cumprod
- Docs
- Python not yet supported