6 High Performance packages and projects
-
Cython
8.7 9.4 L2 PythonOptimizing Static Compiler for Python. Uses type mixins to compile Python into C or C++ modules resulting in large performance gains. -
Pyston
8.3 0.7 L2A 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. -
PeachPy
5.8 0.4 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.
Get performance insights in less than 4 minutes
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.
Sponsored
scoutapm.com
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest. Visit our partner's website for more details.