quickjs VS Nuitka

Built on a highly optimized JavaScript runtime powered by QuickJS, Query offers fast startup times and efficient execution. Its built-in caching mechanism further enhances performance by storing function responses, reducing database load and latency. This focus on speed makes Query a standout choice for server-side rendering, especially in applications with many components.

Where the previous SDK was built on top of the QuickJS JavaScript engine and the Javy runtime, the new SDK is built on top of the Firefox browser’s SpiderMonkey engine, and the Bytecode Alliance’s StarlingMonkey runtime and ComponentizeJS WIT bindings generator.

I'm currently using Bellard's QuickJS engine on a new TypeScript project.

You may be familiar, but I just wanted to show how it is available in many C implementations and is used, for example, in QuickJS: https://github.com/bellard/quickjs/blob/0c8fecab2392387d76a4...

It uses service workers to cache static files, by the time it opens up you already free to be offline, try toggle network switch to verify.

It has download link at bottom of the about page ([accdoo.app/about]) which you could then self host it by dropping into any static hosting services.

btw, the Pi feature was by-product from the original App but I won't expand here, if you'd like to learn more, please checkout its two Show HN post (39115559 and 39138957) previously.

[wiki]: https://en.wikipedia.org/wiki/Chudnovsky_algorithm

[quickjs/pi]: https://bellard.org/quickjs/pi.html

[pi_bigint.js]: https://github.com/bellard/quickjs/blob/master/examples/pi_b...

[accdoo.app/about]: https://accdoo.app/about#releases

[39115559]: https://news.ycombinator.com/item?id=39115559

[39138957]: https://news.ycombinator.com/item?id=39138957

Just go with quickjs, I think this is what you are looking for.

https://bellard.org/quickjs/

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/

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/

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/

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