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.

Feature	PyPy	Shed Skin
Overall Score	1	N/A
Primary Category	Development	Development

Product Overview

PyPy

Description: 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.

Shed Skin

Description: 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.

Key Features Comparison

PyPy Features

• 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

Shed Skin Features

• 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

Pros & Cons Analysis

PyPy

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

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

Pricing Comparison

PyPy

• Open Source

Shed Skin

• Open Source