Shed Skin vs PyPy

Struggling to choose between Shed Skin and PyPy? Both products offer unique advantages, making it a tough decision.

Shed Skin is a Development solution with tags like compiler, python, c, optimization, static-analysis.

It boasts features such as Compiles Python code to C++, Performs advanced static analysis and type inference, Generates optimized C++ code, Makes it easy to create Python extensions in C++, Can significantly improve execution time of CPU-bound Python programs and pros including Faster execution than pure Python, Easier than hand-writing C++ extensions, Seamless integration with existing Python code.

On the other hand, PyPy is a Development product tagged with python, interpreter, jit, fast, compatible.

Its standout features include Just-in-time compiler for faster execution, Support for Python 2.7 and 3.6, Compatibility with most Python libraries and frameworks, Stackless Python support, Built-in profiler for performance analysis, and it shines with pros like Faster execution than CPython in many cases, Lower memory usage than CPython, Mature and stable implementation, Easy migration from CPython codebases.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Shed Skin

Shed Skin

Shed Skin is an experimental compiler, Python to C++, that makes creating Python extensions easy. It uses advanced static analysis and type inference techniques to generate optimized C++ code. Shed Skin can significantly improve the execution time of CPU-bound Python programs.

Categories:
Development Python
compiler python c optimization static-analysis

Shed Skin Features

  1. Compiles Python code to C++
  2. Performs advanced static analysis and type inference
  3. Generates optimized C++ code
  4. Makes it easy to create Python extensions in C++
  5. Can significantly improve execution time of CPU-bound Python programs

Pricing

  • Open Source

Pros

Faster execution than pure Python

Easier than hand-writing C++ extensions

Seamless integration with existing Python code

Cons

Limited Python language support

May require some code changes for compilation

Extra build steps required

Additional dependencies introduced

PyPy

PyPy

PyPy is an alternative Python interpreter written in Python. It features a just-in-time compiler and supports many Python libraries and frameworks. PyPy focuses on speed, efficiency and compatibility with CPython.

Categories:
Development Interpreters & Compilers
python interpreter jit fast compatible

PyPy Features

  1. Just-in-time compiler for faster execution
  2. Support for Python 2.7 and 3.6
  3. Compatibility with most Python libraries and frameworks
  4. Stackless Python support
  5. Built-in profiler for performance analysis

Pricing

  • Open Source

Pros

Faster execution than CPython in many cases

Lower memory usage than CPython

Mature and stable implementation

Easy migration from CPython codebases

Cons

Not all extension modules compatible out of the box

Startup time can be longer than CPython

Smaller community than CPython