emscripten VS pyodide

Browsers limit the ability for these platforms to use raw sockets, there simply is no API for it. The best that can be done /today/ is to use WebSockets, which are not the same thing any can't be used for HTTP requests without the server expecting a WebSocket connection:

https://github.com/emscripten-core/emscripten/issues/5196#is...

Only half true. Emscripten implements the SDL 1.2 (and also SDL_mixer 1.2) API in Javascript here: https://github.com/emscripten-core/emscripten/blob/main/src/.... On the other hand SDL 2 (and SDL_mixer 2) are proper ports (which you linked to).

So there's quite a size penalty to using SDL 2 rather than SDL 1.2.

Playing with low-level stuff is fun, but I won't use it anywhere in productionable code. Well, at least without considerable experience and understanding of the Emscripten code base.

Thank you for your comment!

WASM gave Figma a lot of speed by default for a lot of perf-sensitive code like rendering, layouts, applying styles and materializing component instances, our GUI code is mostly React and CSS.

WASM engine performance has not been a problem for us, instead we are constantly looking forward improvements in the devex department: debugging, profiling and modularization.

One of the largest challenges of the platform we face today is the heap size limit. While Chrome supports up to 4GB today, that's not yet the case for all browsers. And even with that, we are still discovering bugs in the toolchain (see this recent issue filed by one of our engineers) https://github.com/emscripten-core/emscripten/issues/20137

The challenge of the perf-testing at scale in our company is helping developers to detect perf regressions when they don't expect them - accidental algorithmic errors, misused caches, over-rendering React components, dangerously inefficient CSS directives, etc.

https://github.com/emscripten-forge/recipes/tree/main/recipe...

Re: emscripten fs implementations: https://github.com/emscripten-core/emscripten/issues/15041#i... https://github.com/jupyterlite/jupyterlite/issues/315

Moving onto the project, let’s first install Emscripten from their git repository. Emscripten will compile C into Wasm code. An important note is that I will be using Mac OS for this project. If you want to follow along using Windows, use this link. To Begin, open your terminal and clone down Emscripten with:

I got pointed to this one here: https://github.com/emscripten-core/emscripten/issues/15487

If you want to do it, go to town. This is the only reference I could find to anybody targeting wasm with i2pd frankly I really hope the person inquiring in the issue is also you.

Right, and if that momentum is going to last 20 years, then that's going to dictate what's a good strategic decision and what isn't for the next 20 years. Thanks for letting me know what the good options might be when my infant daughter is halfway through college, that doesn't help me save for it in the meantime.

Prior familiarity is a very good reason to pick an option for a greenfield project if you're operating on any type of serious budget (time or money), especially if you need to hire others to help out. There's also the annoying reality that most libraries for new/up-and-coming languages are simply inadequate, despite whatever claims they make.

For instance, one of my personal side projects involves getting familiar with WebAssembly (note: not on a serious budget), and I'm using emscripten to transcode because that's what the internet seemed to think was the closest thing to a standard toolkit. I found a bug simply by combining two pieces of example code from Emscripten's own documentation (you'll note I'm transcoding from c++ due to prior familiarity): https://github.com/emscripten-core/emscripten/issues/17143

This is not a dig on emscripten per se, merely pointing out that it's probably not mature enough for the stress of corporate-scale development, where you encounter all sorts of crazy edge cases well beyond the sample code. Java over the years has obtained that level of maturity. The edge cases are largely solved or at least known, and there's an army of experts and consultants ready to help if there's a problem. When time is money, that matters. It determines the risk profile of any project, greenfield or otherwise.

Java's momentum hasn't stopped, at best it's simply slowing. And at this rate it'll take decades to come to a stop, and decades more to recede to any meaningful degree. I'll also point out that C is very much alive and well in the embedded world. Plenty of job postings looking for C experience explicitly.

We implemented an in-browser Python editor/interpreter built on Pyodide over at Comet (our users are data scientists who need to build custom visualizations quite often, and the most familiar language for most of them is Python).

One of the issues you'll run into is that Pyodide only works by default with packages that have pure Python wheels available. The team has developed support for some libraries with C dependencies (like scikit-learn, I believe), but frameworks like PyTorch are particularly thorny (see this issue: https://github.com/pyodide/pyodide/issues/1625 )

We ended up rolling out a new version of our Python visualizations that runs off-browser, in order to support enough libraries/get the performance we need: https://www.comet.com/docs/v2/guides/comet-ui/experiment-man...

Thank you! Yes, one of the items in the Roadmap is support for Pyodide (https://github.com/pyodide/pyodide) for running in-browser python on the results of each of the code blocks! This should allow most ML libs to be usable in-browser! This is pretty high-up on our priority list.

If I understand correctly, WASM only makes sense for compiled languages, you can run the python interpreter in WASM of course[1], but that will be at a significant performance disadvantage to the native javascript interpreter, and it's also something that has to be loaded every time you load the website.

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

If you absolutely need something comparable to Sympy, then one option might be to figure out how to best call Sympy from Rust. e.g. - RustPython, although it seems like Sympy isn't supported yet - Pyodide, and figuring out how to run it outside of a web browser. Probably also not very easy. - PyPy, and having a pretty simple Python binary for every platform - ...

For running programming languages other than JavaScript in the browser there is Emscripten and WebAssembly. There is v86, where a Linux build is compiled to WASM. Folks have written QuickJS into a Linux build compiled to WASM, Node.js into the Linux buildroot https://github.com/cemalgnlts/now, so Python or CPython can be written to the image and loaded into the browser as WASM as well https://github.com/pyodide/pyodide.

There's a Python runtime that runs on WebAssembly (https://github.com/pyodide/pyodide). I have no idea what it's like, I've never used it.

Still in a quest to provide some tooling to quickly compose documentation websites: https://github.com/synw/docdundee . As I have tons of libs to document and was tired of managing restructured language for readthedocs I started with this, and now it has executable Python examples in the frontend via a Pyodide wrapper composable: usePython

This project's brand new and a lil hacky, but I've already reached out to the scikit-learn team, and they recommended that I experiment with using Pyodide as an alternative backend for the Python bridge.