Cython vs Shed Skin

Cython — Cython is a programming language that aims to be a superset of the Python language, while also being compilable to C/C++ code. It allows Python code to be compiled for speed and efficiency while retai

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 Sk

Cython offers Allows writing C extensions for Python, Can call C functions and declare C types from Python code, Can compile Python code to C/C++ for improved performance, Supports calling Python from C code, Static typing for performance and efficiency, while Shed Skin provides 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.

Cython stands out for Great performance gains compared to pure Python, Easier and faster than writing extensions in C, Seamless interoperability between Python and C/C++ code; Shed Skin is known for Faster execution than pure Python, Easier than hand-writing C++ extensions, Seamless integration with existing Python code.

Feature	Cython	Shed Skin
Overall Score	N/A	N/A
Primary Category	Development	Development
Pricing	Open Source	N/A

Product Overview

Cython

Description: Cython is a programming language that aims to be a superset of the Python language, while also being compilable to C/C++ code. It allows Python code to be compiled for speed and efficiency while retaining compatibility and interoperability with Python code.

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

Cython Features

• Allows writing C extensions for Python
• Can call C functions and declare C types from Python code
• Can compile Python code to C/C++ for improved performance
• Supports calling Python from C code
• Static typing for performance and efficiency
• Can access C libraries directly from Python code

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

Cython

Pros

• Great performance gains compared to pure Python
• Easier and faster than writing extensions in C
• Seamless interoperability between Python and C/C++ code
• Can selectively optimize hotspots instead of entire codebase
• Retains Python language features and compatibility

Cons

• Adds complexity compared to pure Python code
• Requires knowledge of C/C++ to use advanced features
• Debugging can be more difficult
• Not as easy to deploy across platforms
• Limited support on some platforms

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

Cython

• Open Source

Shed Skin

• Not listed