Performance Optimization
Nuitka compiles Python code to C, which can lead to performance improvements by reducing execution time compared to regular Python interpreters. This is because compiled languages typically run faster than interpreted ones.
Stand-Alone Executables
Nuitka supports creating stand-alone executables, allowing developers to distribute Python applications without requiring users to have a Python interpreter installed on their system.
Compatibility
Nuitka is compatible with almost all Python modules and libraries, including native ones, providing developers with the flexibility to work with a broad array of Python ecosystems without losing functionality.
Cross-Platform Support
Nuitka supports multiple operating systems, including Windows, Linux, and macOS, allowing compiled applications to be cross-platform compatible.
Maintains Python Semantics
Nuitka strives to maintain 100% compatibility with Python behavior, ensuring that the behavior of compiled code matches that of code run by the Python interpreter.
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Check the traffic stats of nuitka on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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The latest comments about nuitka on Reddit. This can help you find out how popualr the product is and what people think about it.
In my view, the biggest advantages of ahead-of-time compilation is lower binary size, higher performance, and binary portability (in a sense of being able to copy the binary and run it on another system with same architecture and OS, not in the usual sense of being easy to run to a different system architecture or OS). It is somewhat unknown that Python itself can be compiled, using Nuitka [0]... - Source: Hacker News / about 1 year ago
You can probably generate C code from Python now with Nuitka and pump that into this Cosmopolitan tool, today, to get that? https://nuitka.net/. - Source: Hacker News / about 2 years ago
You could try Nuitka [1], but I don't have enough experience with it to say if it's any less brittle than PyInstaller. [1]: https://nuitka.net/. - Source: Hacker News / about 2 years ago
Nuitka is actively maintained and support for 2.6 and 2.7. It is the work of a single guy, and I have never used it, so I don't know much about it. https://nuitka.net/. - Source: Hacker News / about 2 years ago
This is a good place to mention https://nuitka.net/ which aims to compile python programs into standalone binaries. - Source: Hacker News / over 2 years ago
For Python, you could make a proper deployment binary using Nuitka (in standalone mode โ avoid onefile mode for this). I'm not pretending it's as easy as building a Go executable: you may have to do some manual hacking for more unusual unusual packages, and I don't think you can cross compile. I think a key element you're getting at is that Go executables have very few dependencies on OS packages, but with Python... - Source: Hacker News / over 2 years ago
There is already an AOT compiler for Python: Nuitka[0]. But I don't think it's much faster. And then there is mypyc[1] which uses mypy's static type annotations but is only slightly faster. And various other compilers like Numba and Cython that work with specialized dialects of Python to achieve better results, but then it's not quite Python anymore. [0] https://nuitka.net/ [1] - Source: Hacker News / over 2 years ago
Nuitka deals pretty well with those in general: https://nuitka.net/. - Source: Hacker News / almost 3 years ago
Have a look at Nuitka, which is a "real" Python compiler into C. It uses CPython in its backend and should be completely compatible to "regular" Python. The compiled code can, but does not have to improve performance. It's probably worth looking into. Source: over 3 years ago
And to deploy your program you can use one of the programs that will compile your Python code in to an executable such as PyInstaller or Nuitka. Source: over 3 years ago
Https://nuitka.net/ is a great compiler for python code. Another option that isn't as obfuscated is the official compiler used in mypy if you have 100% type coverage: https://mypyc.readthedocs.io/en/latest/. Source: over 3 years ago
You probably already know about this, but Nuitka[0] is pretty great for building distributable Python apps. [0]: https://nuitka.net. - Source: Hacker News / over 3 years ago
Try nuitka BTW I have used the mentioned here pyinstaller, pex โฆ last time I needed to this, nuitka worked flawlessly and better than pyinstaller. Source: over 3 years ago
Nuitka works on Windows, Linux and Mac https://nuitka.net/. - Source: Hacker News / over 3 years ago
Another similar project: https://nuitka.net/. Source: over 3 years ago
Just to complete what /u/AtomicShoelace gave you, NuitKa is not in the FAQ but is a very impressive python compiler. Source: over 3 years ago
Packaging a Python application including dependencies for all platforms is another hard problem. For now, briefcase works best for me, but nuitka is a strong competitor. Source: almost 4 years ago
You can write Python code in a statically typed way using type hints, check for type errors using mypy, and you can compile any Python using Nuitka. So, if you mix them both, you get statically typed, compiled Python code! - Source: dev.to / almost 4 years ago
If you're looking for a version of this which actually does what it promises including for multithreaded code and code that uses complex extensions, check out Nuitka. It is actively incredible. https://nuitka.net/. - Source: Hacker News / almost 4 years ago
Honest question: How does pycom compare to similar tools like Nuitka, prometeo, or mypyc? Source: almost 4 years ago
Python is no longer slow (I used https://nuitka.net) since there is a module to compile it. Source: about 4 years ago
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