Nuitka on Windows produces genuine .exe binaries — not CPython bundled in a zip archive. The compilation requires a C compiler (either MSVC or MinGW64), and Windows introduces several platform-specific constraints that don’t exist on Linux or macOS.
This guide covers the complete workflow: compiler setup, platform-specific flags, UPX compression, code signing, and GitHub Actions multi-platform builds that produce Windows, Linux, and macOS artifacts from the same pipeline.
A standard Python Docker image for a FastAPI application typically ranges from 150 MB to 1 GB, depending on the base image and dependencies. A Nuitka-compiled equivalent can drop to under 40 MB using a distroless base, with faster startup and no Python interpreter exposed in the container.
This guide covers the multi-stage build pattern that makes this work reliably.
Distributing a Python application without requiring users to install Python—or without exposing your source code—requires a packaging tool. Three tools dominate this space: Nuitka, PyInstaller, and cx_Freeze. Each takes a fundamentally different approach, and choosing the wrong one costs you startup time, binary size, or runtime stability.
This guide cuts through the marketing and gives you the technical detail needed to make an informed decision.
Unlock simplified deployment for Python web apps. This guide details compiling Flask, FastAPI, and Django with Nuitka and automating cross-platform releases with GitHub Actions, from executables to DEB/RPM packages.
