ledstudio VS Nuitka

That’s pretty cool.

I did something similar once, where I wrote a Qt application that let you add effects to a timeline, which would get saved as json and could then be run on a Raspberry Pi to control a grid of NeoPixel LEDs. Each effect on the timeline has a start and length, which pixels it affected, RGBW colors, easing function in and out and effect type (fade, blink etc — there were a few basic effect types that could be combined to create more elaborate effects). The Qt application was able to simulate the LEDs in a GUI using the same code that ran on the RPi (just the GUI was replaced with LED driver code there). It was used to play animations on a t-shirt that was covered in a grid of LEDs made for a local musician. It was a fun project. The code is on GitHub but it’s terrible quality due to having been written over the space of 3 days and then never touched again: https://github.com/danielytics/ledstudio

I have the code on GitHub but I haven’t built the code in 4 years so don’t have a screenshot. Like I said, the code was written in about 3 days and QML allowed me to iterate quickly, but the resulting code quality isn’t great (since it was a once off project, built and used in the same week and then never used again, I didn’t clean it up or anything). One key feature was that the LED strip could be connected to a Raspberry Pi and the tool could be run directly on the Pi to control the LEDs directly from the editor, or it could be run on my laptop and simulated.

Anyway, the code is here: https://github.com/danielytics/ledstudio

And the QML specifically is here: https://github.com/danielytics/ledstudio/blob/master/main.qm...

If I were to clean it up, I would at least split the different labels into their own QML files but hey, shortcuts were taken over those few days :)

Thanks for the feedback! I'm Syrus, main author of the work on py2wasm.

We already opened a PR into Nuitka to bring the relevant changes upstream: https://github.com/Nuitka/Nuitka/pull/2814

We envision py2wasm being a thin layer on top of Nuitka, as also commented in the article.

From what we gathered, we believe that there's usefulness on having py2wasm as a separate package, as py2wasm would also need to ship the precompiled Python distribution (3.11) for WASI (which will not be needed for the other Nuitka use cases), apart of also shipping other tools that are not directly relevant for Nuitka

This is a good place to mention https://nuitka.net/ which aims to compile python programs into standalone binaries.

For Python, you could make a proper deployment binary using Nuitka (in standalone mode – 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 (once you've sorted the actual Python dependencies) you only need the packages used for manylinux [2], which is not too onerous.

[1] https://nuitka.net/

[2] https://peps.python.org/pep-0599/#the-manylinux2014-policy

glee is rich in blogging features but has some drawbacks. One of the main drawbacks is its compatibility with multiple operating systems and system architectures. We lost one potential customer due to glee incompatibility in macOS. Another major issue is the deployment time. We built the first version of glee entirely in Python and used nuitka, nuitka compiles Python programs into a single executable binary file. We need to create three separate stages for creating executable binaries for Windows, Mac, and Linux in deployment, and it takes around 20 minutes to complete.

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] https://github.com/python/mypy/tree/master/mypyc

Nuitka deals pretty well with those in general: https://nuitka.net/

Hi HN,

Has anyone explored Nuitka [1] and developed understanding from a blank slate?

Is there any toy version of this, so that one can start playing with the language translation concepts?

Is there any underlying theory/inspiration upon which this project is built?

Are there any similar projects, in say other languages?

[1] https://github.com/Nuitka/Nuitka

That's more of cultural problem in the Python community.

If I provide an end user software to my client written an Python (so not a backend, not a lib...), I will compile it with nuitka (https://github.com/Nuitka/Nuitka) and hide the stack trace (https://www.bitecode.dev/p/why-and-how-to-hide-the-python-st...) to provide a stand alone executable.

This means the users don't have to know it's made with Python or install anything, and it just works.

However, Python is not like Go or Rust, and providing such an installer requires more than work, so a huge part of the user base (which have a lot of non professional coders) don't have the skill, time or resources to do it.

And few people make the promotion of it.

I should write an article on that because really, nobody wants to setup python just to use a tool.

As for a simpler option, you could use a "compiler": https://github.com/Nuitka/Nuitka