6 High Performance packages and projects
8.9 9.1 F PythonA Python implementation built using LLVM and modern JIT techniques with the goal of achieving good performance.
8.1 9.2 F PythonOptimizing Static Compiler for Python. Uses type mixins to compile Python into C or C++ modules resulting in large performance gains.
8.1 -An implementation of Python in Python. The interpreter uses black magic to make Python very fast without having to add in additional type information.
6.0 4.8 F C++A JIT for Python based upon CoreCLR
5.4 6.7 F Pythonx86-64 assembler embedded in Python. Can be used as inline assembler for Python or as a stand-alone assembler for Windows, Linux, OS X, Native Client and Go.
0.5 -An enhanced version of the Python.
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