6 High Performance packages and projects
8.7 4.2 L2 PythonA Python implementation built using LLVM and modern JIT techniques with the goal of achieving good performance.
8.3 9.7 L2 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 5.9 L1 C++A JIT for Python based upon CoreCLR
5.6 6.1 L2 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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