py2exe vs nuitka

Struggling to choose between py2exe and nuitka? Both products offer unique advantages, making it a tough decision.

py2exe is a Development solution with tags like packaging, executable, compiler, python.

It boasts features such as Bundles Python scripts into standalone Windows executables, Includes Python interpreter and all necessary modules, Supports console and Windows GUI applications, Allows distribution of Python programs without requiring Python installation, Works with most popular Python packages like PyQt, NumPy, etc, Customizable through configuration files and command line options and pros including Easy way to distribute Python programs to end users, No need for recipients to install Python or modules, Good for delivering commercial applications, Makes Python GUI apps feel more like native Windows apps, Allows Python apps to run on computers without Python.

On the other hand, nuitka is a Development product tagged with python, compiler, obfuscation, standalone-executables.

Its standout features include Compiles Python code into C/C++, Generates standalone executables, Supports Python 2.6 to 3.10, Plugin architecture to control compilation, Full Python language support, Optimization for performance, Can obfuscate code, Integration with C extensions, Compatibility with popular Python packages, and it shines with pros like Faster execution than pure Python, No dependency on Python interpreter, Easier distribution of Python programs, Obfuscation for protecting source code, Seamless use of C extensions, Mature project with stable releases.

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.

py2exe

py2exe

py2exe is a Python module that allows you to easily create standalone Windows executable programs from Python scripts. It bundles all necessary parts so you can distribute the resulting executables to end users who do not have Python installed.

Categories:
packaging executable compiler python

Py2exe Features

  1. Bundles Python scripts into standalone Windows executables
  2. Includes Python interpreter and all necessary modules
  3. Supports console and Windows GUI applications
  4. Allows distribution of Python programs without requiring Python installation
  5. Works with most popular Python packages like PyQt, NumPy, etc
  6. Customizable through configuration files and command line options

Pricing

  • Free
  • Open Source

Pros

Easy way to distribute Python programs to end users

No need for recipients to install Python or modules

Good for delivering commercial applications

Makes Python GUI apps feel more like native Windows apps

Allows Python apps to run on computers without Python

Cons

Limited support for some Python packages

Can produce large executable files

Not designed for web applications

Requires some understanding of Python packaging

Debugging exe files harder than source code

May need tweaking to handle complex programs


nuitka

nuitka

Nuitka is an open source Python compiler that translates Python code into C or C++ code. It allows developers to create standalone Python executables that can be run without requiring the Python interpreter. Key benefits are improved performance, obfuscation, and easy distribution of Python programs.

Categories:
python compiler obfuscation standalone-executables

Nuitka Features

  1. Compiles Python code into C/C++
  2. Generates standalone executables
  3. Supports Python 2.6 to 3.10
  4. Plugin architecture to control compilation
  5. Full Python language support
  6. Optimization for performance
  7. Can obfuscate code
  8. Integration with C extensions
  9. Compatibility with popular Python packages

Pricing

  • Open Source

Pros

Faster execution than pure Python

No dependency on Python interpreter

Easier distribution of Python programs

Obfuscation for protecting source code

Seamless use of C extensions

Mature project with stable releases

Cons

Complex toolchain and compilation process

Limited Windows support

Not all Python packages compatible

Steep learning curve

Extra compile time overhead

Difficult to debug compiled programs