numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Introduce `context.call_overload` and raise dynamic exception in `guard_match_core_dims`
- Unable to convert generator returning 1D arrays into a 2D array using fromiter/vstack
- give primitive types a faster key&value compare, copy, and zero methods in TypedDict
- [Feature Request] `key_equal`, `copy_key`, `zero_key` in dict is slower than direct assignment if key type is primitive
- Type inference leads to libNVVM bugs on 0.59.1
- jitclass apraisal and performance revisit request.
- Add support for more random functions.
- [Feature Request] OpenCl Integration like CUDA.
- Aggressive typecasting with specialization leads to silent wrong value output
- memory leak caused by PinnedArray
- Docs
- Python not yet supported