Cython vs Shed Skin

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

Cython is a Development solution with tags like python, c, compiled, performance.

It boasts features such as 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 pros including 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.

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.

Cython

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 retaining compatibility and interoperability with Python code.

Categories:
python c compiled performance

Cython Features

  1. Allows writing C extensions for Python
  2. Can call C functions and declare C types from Python code
  3. Can compile Python code to C/C++ for improved performance
  4. Supports calling Python from C code
  5. Static typing for performance and efficiency
  6. Can access C libraries directly from Python code

Pricing

  • Open Source

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

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:
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