numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Expensive Calls to `ir.Inst.list_vars` During Compilation
- Memory allocations in Numba significantly slower than allocations with Numpy
- Fall back to iterative topological sort with function IRs with large numbers of basic blocks
- Add script to detect flake8 error in diffs
- Add `NUMBA_CACHE_OVERRIDE` to force caching on or off
- Reduce compilation time by Cythonizing parts of Numba
- NotImplementedError When creating an empty structured array in parallel
- solved higher order function caching
- TypingError When Accessing Attributes of Nested JitClasses
- isfinite(inf) raises FloatingPointError in vectorized functions
- Docs
- Python not yet supported