---
id: nuitka
version: "4.1.3"
license: GNU Affero General Public License v3
license_treatment: agpl
maintenance: active
---

# Nuitka — Python compiler with full language support and CPython compatibility

License: agpl · Maintenance: active · Downloads: 496.4K/mo

## What it is and what it does

Nuitka is a Python-to-C compiler that translates Python source code into C, which is then compiled to machine binaries using a system C compiler. It supports Python 2.6–2.7 and Python 3.4–3.14, emulating CPython semantics closely enough that compiled and uncompiled code can run together. The compiler aims to eliminate unnecessary overhead while maintaining compatibility with all Python library modules and extension modules.

You use Nuitka via the command line (typically `python -m nuitka`) to compile a Python script or module into a standalone executable or accelerated binary. It requires a C compiler (gcc, clang, Visual Studio, MinGW64, or zig) and the matching Python implementation (CPython, Anaconda, or Homebrew Python) to be present on the build machine. Compiled binaries can be made portable across machines using `--mode=standalone` or `--mode=onefile` options.

Use it for:

- Distribute Python applications as standalone executables without requiring Python installation on end-user machines.
- Accelerate performance-critical Python code by compiling it ahead-of-time to native machine code.
- Protect source code by shipping compiled binaries instead of readable Python scripts.
- Create cross-platform command-line tools or desktop applications from Python codebases.
- Bundle Python applications with all dependencies into a single executable file using onefile mode.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Nuitka compiles Python code to C and then to machine binaries, supporting Python 2.6–2.7 and Python 3.4–3.14 with full language compatibility and CPython semantics.

Yes, if you need to distribute Python as compiled binaries or accelerate performance-critical code and can accept the high installation friction (C compiler requirement) and AGPLv3+ licensing constraints. The project is actively maintained, widely used (top 15000 on PyPI), and has no known vulnerabilities. Not recommended for proprietary closed-source projects due to copyleft licensing, or for environments where installing a C compiler is impractical.

## Install

pip install nuitka
uv add nuitka
poetry add nuitka

## Installing Nuitka

Before you install: Installation requires a C compiler (gcc, clang, Visual Studio, MinGW64, or zig) and involves downloading and building C artifacts, resulting in high friction. The project is actively maintained with recent releases and a large repository (15087 stars).

License in practice: Nuitka is licensed under GNU Affero General Public License v3 or later (AGPLv3+). This copyleft license requires that any modifications or derivative works be distributed under the same license and made available to users; it also includes a network use clause. Proprietary or closed-source projects may face licensing constraints.

Quickstart:

pip install nuitka
python -m nuitka --help
python -m nuitka --onefile your_script.py

Requires a C compiler (gcc 5.1+, clang, Visual Studio 2022+, MinGW64, or zig) installed on the system; CPython (not PyPy, pyenv on macOS, or Windows Store Python) must be the active interpreter.

Verify before relying:

- Performance improvement magnitude and compilation time overhead for typical projects.
- Compatibility edge cases with C extensions and third-party modules beyond the documented scope.
- Practical experience with standalone mode portability across different OS/architecture combinations.

## Package facts

- License: GNU Affero General Public License v3 (agpl)
- Python support: unspecified
- Install friction: high
- Maintenance: active
- Downloads: 496.4K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

python to binary compiler, compile python to executable, python ahead-of-time compilation, python c compiler, standalone python executable, python performance optimization, python to machine code, compilation, distribution, performance

[View on SkillFed](https://skillfed.io/packages/nuitka) · [View on PyPI](https://pypi.org/project/nuitka/)