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.

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

Product Overview

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.

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.

Key Features Comparison

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

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

Pros & Cons Analysis

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

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

Pricing Comparison

Shed Skin

• Open Source

PyPy

• Open Source