regex-benchmark VS Rocket

Before we start comparing the aforementioned solutions, it is worth to show how bad things are with the standard regex library in Go. I found the project where the author compares the performance of standard regex engines of various languages. The point of this benchmark is to repeatedly run 3 regular expressions over a predefined text. Go came in 3rd place in this benchmark! From the end....

* Let you clone a map without rehashing every key to a new seed. I generally measure at least 15x speedup from this alone, unlocking very useful design patterns like "clone a map and apply a few temporary updates for a one-off operation like validation or simulation" with no extra code complexity. Go gives you no better option than slowly rehashing the entire map.

And that's just hash maps. How about Go's regex engine being one of the slowest in the world while Rust's regex crate being one of the fastest:

https://github.com/mariomka/regex-benchmark#optimized

Languages Regex Benchmark

Java is still pretty bad compared to C# (not to mention Rust or Nim)

https://github.com/mariomka/regex-benchmark

And the always interesting techempower Project, which leaves the implementation to participants of each round. https://www.techempower.com/benchmarks/#section=data-r21&tes...

Choose whatever category you wish there, js is faster in then go in almost all categories there.

Even though I said it before, I'm going to repeat myself as I expect you to ignore my previous message: the language doesn't make any implementation fast or slow. You can have a well performing search engine in go, and JS. The performance difference will most likely not be caused by the language with these two choices. And the same will apply with C/Rust. The language won't make the engine performant creating a maximally performant search engine is hard

Also, regex engines are not created equally, at all. One of the best writeups I've ever read is from the ripgrep blog. Burntsushi knows regex. There's also this benchmark site which illustrates how general language performance is an entirely different metric than regex performance. Don't assume those benchmarks will cover your particular use case, though--different regex engines might handle your particular situation differently.

Interesting. Looking at this repo, they have

Rust -> Ruby -> Java -> Golang

https://github.com/mariomka/regex-benchmark

Though it appears the numbers are two years old or so, and only for 3 specific regexes.

id also be careful in claiming C++ std regex is faster than python, unless you actually have proof. there's a ton of information that in many cases its actually slower. https://github.com/mariomka/regex-benchmark. have you actually benchmarked your code? or was it just a naive assumption that because its C++ its just fast?

It is a matter of personal preference.

I find that regular expressions and text-wrangling tasks are faster and easier in Perl than in other programming languages due to its accessible syntax and regular expression engine speed.

This article shows the regular expression syntax in several popular programming languages: https://cs.lmu.edu/~ray/notes/regex/

This GitHub repo gives some regex performance test benchmarks: https://github.com/mariomka/regex-benchmark Perl is pretty fast among the scripting languages that were benchmarked.

If you are familiar with C / C++, then learning Perl is relatively fast and easy: https://perldoc.perl.org/perlintro

At the bottom of the Rocket web site there are a few sponsors listed Kindness.ai, ohne Makler, 1Password, Signal Insight, and Edwin Olback. There are more sponsors on GitHub sponsors page

4. Rocket

If you want something simpler/more minimal, you could use https://rocket.rs/ for the backend and handle the front-end however you want.

I’m the author of https://kellnr.io. When I started working on Kellnr three years ago, https://rocket.rs was “the web framework” to use. Unfortunately, the project seems dead. Before adding more functionality using an unmaintained framework, I want to port Kellnr to https://github.com/tokio-rs/axum.

Or else you could of course just use https://rocket.rs/

Rust is a popular system programming language, known for its robust memory safety features and exceptional performance. While Rust was originally a system programming language, its application has evolved. Now you can see Rust in different app platforms, mobile apps, and of course, in web apps — both in the frontend and backend, with frameworks like Rocket, Axum, and Actix making it even easier to build web applications with Rust.

I've done some research but I have to admit that creating embedded devices is a totally new subject for me, but that is the point of the project - main goal is learning, and creating something is the secondary goal, so please bear with me and my knowledge of the subject. So, for the hardware I've seen many people recommending SMT32 family devices, but I've also read that anything with the Cortex-M processor can be suitable. Need more info on that. OS is a hard choice for me because on one hand I was thinking of Ubuntu Core but the device support is not really that good I think, so other options I've found are Tock and RIOT-OS, and I am gravitating towards the latter because it's main focus is on IOT devices. I've found frameworks like Rocket.rs for a web app, tauri.app for desktop app (which might not be needed but I still like the idea). Also found Tokio.rs which apparently will help with the networking. There was a discussion from the other members about using the Golioth cloud platform with Zephyr and C++, and I don't know if there are any other alternatives for Golioth that support Rust, I've found webthings.io but I am not sure if it's an alternative, or something else actually, so I would be happy to learn more about that. Again I want to hear your recommendations regarding anything that will help creating a project like that.