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Nuitka works with Python 2.6 through 2.7 and Python 3.3 through 3.10. As a general rule, it's best not to rely on Nuitka to improve performance, but rather as a bundling solution. Speedups aren't guaranteed, either-they vary tremendously between workloads, and some programs might not experience any significant performance improvement. Nuitka also tries to make performance improvements to compiled Python programs whenever possible, but again without sacrificing overall compatibility. Nuitka also tries to maintain maximum compatibility with the Python ecosystem, so third-party libraries like NumPy work reliably.

The results can be distributed in a zipped bundle or packaged into an installer with another third-party product. It compiles a Python program to a C binary-not by packaging the CPython runtime with the program bytecode, but by translating Python instructions into C. Nuitka, a third-party project, offers a radical solution. For some scenarios, that's a deal breaker.

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What's more, it's often possible to extract the source code for the Python program from the resulting package. There are tools for doing this, like PyInstaller, but they require a lot of cadging to work correctly. The most common way to solve this issue is to package the program together with all its supporting libraries and files and the Python runtime. For one thing, it can be very hard to write a Python application and distribute it to people who don't have Python installed. As Python's popularity rises, its limitations are becoming more clear.

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