PyPy vs Shed Skin

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

PyPy is a Development solution with tags like python, interpreter, jit, fast, compatible.

It boasts features such as 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 pros including Faster execution than CPython in many cases, Lower memory usage than CPython, Mature and stable implementation, Easy migration from CPython codebases.

On the other hand, Shed Skin is a Development product tagged with compiler, python, c, optimization, static-analysis.

Its standout features include 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 it shines with pros like Faster execution than pure Python, Easier than hand-writing C++ extensions, Seamless integration with existing Python code.

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.

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

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