extism VS evcxr

Extism can be really useful for packaging up and running cross-language libraries!

The most clear information about it is at: https://extism.org, but its a bit focused on the primary use case for Extism, being a universal plugin system.

There is a C PDK (https://github.com/extism/c-pdk) which you'd probably want to use in a new wrapper around your library in C++, and compile it to wasm32 freestanding or WASI, but without emscripten. Extism doesn't currently have an interop layer to emscripten.

It may just be my own unique obsession to peek at the internals of .wasm, but if anyone else is curious:

https://modsurfer.dylibso.com/module?hash=ab6f4b2de9db171347...

u/nbittich - curious if you've tried to use your language as as a scripting language inside other apps? I took a peak at your browser wasm environment, and think we could hook up the `compute` entrypoint you have here[0], but I'm not certain what the `ctx` does without going super deep, and if it could be passed into an Extism function[1] (which is how I'd try to run it from within 16+ other languages).

[0]: https://github.com/nbittich/adana/blob/master/adana-script-w...

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

Yep, this is one of the initial motivations for creating Extism: https://github.com/extism/extism -- and it works across 16 host languages & 8 guest languages.

On the devx, there's definitely some rough edges around building and using Wasm. My company has been working on a framework to ease integrating Wasm into existing applications. One area it focuses on is providing easy data passing between the host program and the Wasm and vice versa. https://github.com/extism/extism We do not have WASI preview 2 support yet, but are interested in integrating it.

Emacs didn't invent REPL, and it's common everywhere. For Rust: https://github.com/evcxr/evcxr/blob/main/evcxr_repl/README.m.... But heck, the compiler is reasonably fast enough that any IDE can REPL by compiling the code.

The value here is more in being able to read a script before you run it, then have it run fast, maybe tweaking something here and there. And a compiled script will run 10,000 times faster than LISP, which can be important.

https://github.com/evcxr/evcxr can run Rust in a Jupyter notebook. It's not Golang but close enough.

The engine uses rust_decimal::Decimal to represent high precision decimal numbers, like the weight property. Serialization of RocksDB keys is done by the storekey crate. To know how Yumi's machine stores diffs, we can now ask- How does storekey serialize rust_decimal? Well, using evcxr to run Rust in Jupyter, the answer is as a null-terminated string:

In theory you should be able to create Rust notebooks (Jupyter notebook) using evcxr so maybe some AI, data analysis, prototyping make sense if you aim for good performance in final application (protype in evcxr and use notebook as reference to implement final application in Rust for speed and safety).

You should check out evcxr

There is also implementations of rust REPLs, like the beautifully named evcxr.