numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Add note in CUDA docs about signature in @cuda.jit causing immediate compilation
- numpy.empty() TypingError with structured dtype
- Memory leak when allocating 1D and 2D numpy arrays inside jitted functions
- meta-issue: All NumPy functions with no implementation
- out parameter broken for cuda ufuncs
- Result caching in Numba
- Annotate HTML alignment broken in JupyterLab
- Improve the efficiency of generating exponential random variables.
- Calling vectorize with parallel target inside njit
- Add Dataclasses support
- Docs
- Python not yet supported