wasm-micro-runtime VS pyodide

Here is what you are looking for: https://github.com/bytecodealliance/wasm-micro-runtime

No longer does Wasm/WASI need JS host! There are many spec-compliant runtimes built for environments from tiny embedded systems up to beefy arm/x86 racks:

- https://github.com/bytecodealliance/wasm-micro-runtime

- https://github.com/bytecodealliance/wasmtime

- https://github.com/wasmerio/wasmer

- https://github.com/tetratelabs/wazero

- https://github.com/extism/extism (disclaimer, my company's project - makes wasm easily embeddable into 16+ programming languages!)

The WASM core 1.1 infrastructure is already available in a very strict defined more or less guarantied compatible form on nearly any final target. Even on very small devices for embedded computing (WAMR takes less then 85kB and supports even trusted computing etc.) and in contexts, where usually no other low level development tools are available (for example within the context of Webbrowsers, sandboxed execution etc.)

WAMR and it's different AoT preprocessing and execution modes could be even more efficient. ;)

Wasm-bpf is a WebAssembly eBPF library, toolchain and runtime powered by CO-RE(Compile Once – Run Everywhere) libbpf and WAMR. It can help you build almost every eBPF programs or use cases to Wasm.

Running a Wasm application outside the browser requires an appropriate runtime that implements the WebAssembly VM and provides interfaces to the underlying system. There are a few competing solutions in this field, the most popular being wasmtime, wasmer, and WAMR.

A very interesting solution for high level interface access by less professional developers could be seen in pikascript, which works even on very small devices. WAMR is another project with similar capabilities. Both of them can be very well combined with core infrastructure realized as embedded rust code.

Seems the micro runtime also released 1.0:

https://github.com/bytecodealliance/wasm-micro-runtime

But why does it not have binaries compiled and ready?

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.