10

8

6

4

2


8.7

9.6

8.3
1.6

8.1
-

5.8

2.3

5.8

4.0

6 High Performance packages and projects

  • Cython

    8.7 9.6 L2 Python
    Optimizing Static Compiler for Python. Uses type mixins to compile Python into C or C++ modules resulting in large performance gains.
  • Pyston

    8.3 1.6 L2 Python
    A Python implementation built using LLVM and modern JIT techniques with the goal of achieving good performance.
  • PyPy

    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.
  • Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
    Promoted scoutapm.com
  • PeachPy

    5.8 2.3 L2 Python
    x86-64 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.
  • Pyjion

    5.8 4.0 L1 C++
    A JIT for Python based upon CoreCLR
  • Stackless Python

    0.5 -
    An enhanced version of the Python.

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