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Ask HN: Rust Viable for Data Analytics?

• SushiHippie 3y ago
  Clickable link: https://areweguiyet.com/ https://areweguiyet.com/
• nextos 3y ago
  Rust still has some key pieces missing, but looks promising, see: https://github.com/wiseaidev/rust-data-analysis https://github.com/wiseaidev/rust-data-analysis F# has a very decent data community: https://fsharp.org/guides/data-science https://fsharp.org/guides/data-science and https://fslab.org https://fslab.org And obviously Julia is also something to consider. It depends on the compromises you want to make and what you define as data analytics.
  • SushiHippie 3y ago
    Thank you! Although I'm not a huge fan of REPL and notebooks, the rust-data-analysis repo might give me at least a starting point. Currently, I'm not really keen to learn another new language, as I just got started with rust, and want to start using it a bit more.
    • nextos 3y ago
      Rust is great for well defined tasks that are not too exploratory and/or will be ran many times, so performance matters. There are quite a few interesting statistical inference tools being built on Rust right now. Julia is fast, but it still has some memory usage problems in my experience. One area I am interested in where Rust could make a lot of sense is edge computing & ML. Imagine a model such as a Kalman filter in a little robot. Here, Rust's low footprint and latency would be advantageous.
• sk11001 3y ago
  No, it's way too rigid to iterate quickly and work interactively. And it's not a "is the language there yet" - it's not supposed to be there at all, it targets completely different use cases.
• dv_dt 3y ago
  Not a whole answer, but maybe worth mentioning that Polars is implemented in rust and you can directly use it via it's Rust crate. https://docs.rs/polars/latest/polars/ https://docs.rs/polars/latest/polars/