nuitka vs PyInstaller

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

nuitka is a Development solution with tags like python, compiler, obfuscation, standalone-executables.

It boasts features such as 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 pros including 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.

On the other hand, PyInstaller is a Development product tagged with python, executable, packaging, distribution.

Its standout features include Bundles Python applications into stand-alone executables, Works with Python 2.7 and 3.5+, Supports multiple platforms including Windows, Mac OS X and Linux, Supports GUI applications using frameworks like PyQt, Tkinter, wxPython, Kivy etc., Supports including dynamic libraries and assets like images/data files, Creates a single package so end user does not need Python installed, Open source and free to use, and it shines with pros like Easy way to distribute Python applications to end users, No need for end users to install Python or dependencies, Stand-alone executables are OS-agnostic, Bundles everything application needs into one package, Active development and community support.

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.

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


PyInstaller

PyInstaller

PyInstaller is an open-source tool that converts Python programs into stand-alone executables for distribution to end users. It bundles all dependencies into a single package so the end user does not need to have Python installed.

Categories:
python executable packaging distribution

PyInstaller Features

  1. Bundles Python applications into stand-alone executables
  2. Works with Python 2.7 and 3.5+
  3. Supports multiple platforms including Windows, Mac OS X and Linux
  4. Supports GUI applications using frameworks like PyQt, Tkinter, wxPython, Kivy etc.
  5. Supports including dynamic libraries and assets like images/data files
  6. Creates a single package so end user does not need Python installed
  7. Open source and free to use

Pricing

  • Open Source
  • Free

Pros

Easy way to distribute Python applications to end users

No need for end users to install Python or dependencies

Stand-alone executables are OS-agnostic

Bundles everything application needs into one package

Active development and community support

Cons

Limited support for some Python packages with C extensions

Debugging executables harder than debugging Python source

Complex applications may need some customization

Packaging can be slow for large applications

Encrypted binaries can complicate AV software detection