Shed Skin vs Cython

Struggling to choose between Shed Skin and Cython? 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, Cython is a Development product tagged with python, c, compiled, performance.

Its standout features include 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, and it shines with pros like 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.

Feature	Shed Skin	Cython
Overall Score	N/A	N/A
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.

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.

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

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

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

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

Pricing Comparison

Shed Skin

• Open Source

Cython

• Open Source