parquet-wasm VS transmitic

nodejs-polars is node-specific and uses native FFI. polars can be compiled to Wasm but doesn't yet have a js API out of the box.

As for the fastest way to serialize data to Pandas data to the browser, you should use Parquet; it's the fastest to write on the Python side and read on the JS side, while also being compressed. See https://github.com/kylebarron/parquet-wasm (full disclosure, I wrote this)

I'm building WebAssembly bindings to existing Rust libraries [0] and lower-dependency geospatial tools [1]. Rust makes it very easy to bind rust code to both WebAssembly and Python. And by avoiding some large C geospatial dependencies we can get reliable performance in both wasm and Python using the exact same codebase.

[0]: https://github.com/kylebarron/parquet-wasm

[1]: https://github.com/kylebarron/geopolars

Looks to be a great resource. I've been working on a WASM implementation of reading and writing Apache Parquet [0] and it's been difficult being new to WASM to find the best way of distributing the WASM that works on Node and through bundlers like Webpack.

[0]: https://github.com/kylebarron/parquet-wasm

I use it for a desktop file transfer app [0]. I chose Rust because my primary language is Python and I just wanted to learn something new and really different for this project. Go would have been easier, but Rust just feels bullet proof. It's so strict. If it compiles, it works! It's been a very interesting journey.

[0] https://github.com/transmitic/transmitic

I've built a p2p file transfer program [0]. All my development experience had been in Python, but I really wanted to try a statically typed, low level language, and decided to give rust a try.

It was hard to get going, and I still only know basics, but everything just works! Typing, borrow checker, the matched results, all of that makes code bullet proof.

[0] https://github.com/transmitic/transmitic