5 ms·

Nuitka 0.6.0 released

72 points by bratao 8y ago

xyproto 8y ago
To deploy a Python program as something that looks just like if a C program + a C library was deployed, is a nice option to have. Nuitka provides this. The speed is also better than a regular Python application.
- metalliqaz 8y ago
  Yes, and if they can keep the project healthy, we can expect it to continue to increase in speed, in fact according to the authors the speed improvements are just starting.
tomhoward 8y ago
Earlier discussion (12 months ago): https://news.ycombinator.com/item?id=15354613 https://news.ycombinator.com/item?id=15354613
bratao 8y ago
I got up to 15% speedup using Nuitta for a tool I have. It also seems very compatible, handling almost every code I throw at it.
- metalliqaz 8y ago
  Nuitka does actually use libpython, so it should be expected to be highly compatible.
zedr 8y ago
A sample template project using Nuitka if you want to play around with it: https://github.com/zedr/aiohttp-nuitka-docker https://github.com/zedr/aiohttp-nuitka-docker
danmg 8y ago
It's a cool idea, but when you sick it on something that uses numpy, a very common use case that people would want, it basically dies.
- weberc2 8y ago
  Surprising since it advertises itself as "It is the extremely compatible Python compiler."
  - metalliqaz 8y ago
    There's a bunch of discussion and links in this[1] SO question. It looks like numpy's size becomes an issue. It appears that some people do use the two projects together, though. [1] https://stackoverflow.com/questions/37713589/nuitka-error-cannot-find-in-package-as-absolute-import https://stackoverflow.com/questions/37713589/nuitka-error-ca...
    - danmg 8y ago
      Even if it the end it spits out an exe, it's 100s of MB. This makes it a non-starter for short lived numerical programs.
      - Eli_P 8y ago
        Are you using --standalone flag? Nuitka scans for dependencies recursively, that's why output bundle's so big. I don't understand why you've that large .exe, a bunch of DLLs is what should be heavy.
thisgoodlife 8y ago
I just tried it yesterday on one Django project. The DB migration failed. It seems that when doing DB migration, Django actually looks for .py files which don't exist anymore with nuitka.
- zbentley 8y ago
  Yes; any framework or tooling that relies on runtime imports (eval is OK, just not eval-from-file) is not going to work with rather a lot of compiled-python programs. It's possible to build shims that support "import module if running interpreted python; just point to already-loaded/compiled code (or eval a string, ew, but if you must) if not", but many large projects do not do that. It is likely not too painful to implement/send a PR for though.
feydaykyn 8y ago
There was an interesting podcast episode with Nuitka creator, Kay Hayden, a month ago on TalkPythonToMe : https://talkpython.fm/episodes/download/172/nuitka-a-full-python-compiler.mp3 https://talkpython.fm/episodes/download/172/nuitka-a-full-py... Kay Hayden does not bother to appear nice, and has some strong opinions on things, I liked it a lot

72 points by bratao 8y ago

To deploy a Python program as something that looks just like if a C program + a C library was deployed, is a nice option to have. Nuitka provides this. The speed is also better than a regular Python application.

metalliqaz 8y ago
Yes, and if they can keep the project healthy, we can expect it to continue to increase in speed, in fact according to the authors the speed improvements are just starting.

tomhoward 8y ago

Earlier discussion (12 months ago): https://news.ycombinator.com/item?id=15354613 https://news.ycombinator.com/item?id=15354613

bratao 8y ago

I got up to 15% speedup using Nuitta for a tool I have. It also seems very compatible, handling almost every code I throw at it.

metalliqaz 8y ago
Nuitka does actually use libpython, so it should be expected to be highly compatible.

zedr 8y ago

A sample template project using Nuitka if you want to play around with it: https://github.com/zedr/aiohttp-nuitka-docker https://github.com/zedr/aiohttp-nuitka-docker

danmg 8y ago

It's a cool idea, but when you sick it on something that uses numpy, a very common use case that people would want, it basically dies.

weberc2 8y ago
Surprising since it advertises itself as "It is the extremely compatible Python compiler."
- metalliqaz 8y ago
  There's a bunch of discussion and links in this[1] SO question. It looks like numpy's size becomes an issue. It appears that some people do use the two projects together, though. [1] https://stackoverflow.com/questions/37713589/nuitka-error-cannot-find-in-package-as-absolute-import https://stackoverflow.com/questions/37713589/nuitka-error-ca...
  - danmg 8y ago
    Even if it the end it spits out an exe, it's 100s of MB. This makes it a non-starter for short lived numerical programs.
    - Eli_P 8y ago
      Are you using --standalone flag? Nuitka scans for dependencies recursively, that's why output bundle's so big. I don't understand why you've that large .exe, a bunch of DLLs is what should be heavy.

thisgoodlife 8y ago

I just tried it yesterday on one Django project. The DB migration failed. It seems that when doing DB migration, Django actually looks for .py files which don't exist anymore with nuitka.

zbentley 8y ago
Yes; any framework or tooling that relies on runtime imports (eval is OK, just not eval-from-file) is not going to work with rather a lot of compiled-python programs. It's possible to build shims that support "import module if running interpreted python; just point to already-loaded/compiled code (or eval a string, ew, but if you must) if not", but many large projects do not do that. It is likely not too painful to implement/send a PR for though.

feydaykyn 8y ago

There was an interesting podcast episode with Nuitka creator, Kay Hayden, a month ago on TalkPythonToMe : https://talkpython.fm/episodes/download/172/nuitka-a-full-python-compiler.mp3 https://talkpython.fm/episodes/download/172/nuitka-a-full-py... Kay Hayden does not bother to appear nice, and has some strong opinions on things, I liked it a lot