[kebolio]

Slightly disconcerted that the first thing webdevs are rushing to do with wasm is to port massive language runtimes to it, continuing the web tradition of piling shit upon shit upon shit. Personally believe that this is totally the wrong idea; compilation or transpilation from intermediate forms is far more interesting and sensible in my view

[ThePhysicist]

Sure when targeting the web with software that doesn't exist yet I would definitely write that in JS. However, if there is a well-tested crypto library that has 300.000 lines of well-tested C code and that I can use without too much pain by transpiling it to JS I'd always prefer that to writing my own implementation in JS. In that sense transpiling is a great way to reduce redundancy by allowing to use code in different context. Concerning the intermediate form: I'm a big fan of model driven development but I think our tooling for it isn't good enough yet, so until someone invents a description language that is really powerful enough to describe let's say a crypto library and then generate code from that in various languages I think transpiling from one concrete language to another is still a better option.

BTW a lot of the power of Python, Ruby and JS comes from the interface these languages provide to existing C/C++ codebases, and I assure you that the binding code to make this work is often far from pretty. As end users we don't care about this though as long as it works.

[pitaj]

It's not like people are planning on using these in production. It's just some fun hobby projects that are useful for, say, online Python tutorials and stuff.

[elcritch]

Well actually, I would. But not for webapps.

There's a fairly large class of scientific computing oriented apps where having a widely deployed and fast VM with CPython compatibility would be fantastic. Python (for better or worse) has a large library of open source computational libraries, but shipping an embedded CPython VM is a pain. As an example, I helped advise an undergrad working on a program to calculate collagen fiber orientation for biomedical research labs. Figuring out cxfreeze or other Python packaging systems took longer than writing the actual app.

Unfortunately JavaScript doesn't have broad scientific library support and grad students in non-CS fields don't always have the time to become versed enough in C/C++ to create a usable app. So CPython & associated C libraries ported to wasm could be quite useful... This could apply to R programs as well.

Re: grandparent, just because a project offends your sense of purity doesn't mean it isn't surprisingly valuable for others.