tangram VS Rocket

Head over to https://www.tangram.dev and give it a try!

In this post, we will go over how we optimized our Gradient Boosted Decision Tree library. This is based on a talk that we gave at RustConf 2021: Writing the Fastest Gradient Boosted Decision Tree Library in Rust. The code is available on GitHub.

You can check out the Tangram Ruby Gem. We built it using Ruby FFI and the source is available on our GitHub repo.

We are using Rust for our web application and website at Tangram. You can view the source here: https://github.com/tangramdotdev/tangram/tree/main/crates/www. The website is at https://www.tangram.dev. We decided to write our own web framework because we needed server rendering and we wanted to use the builder pattern in creating components. Here is an example component for our Logo to get a sense of what this looks like: https://github.com/tangramdotdev/tangram/blob/main/crates/www/ui/logo.rs

Check out https://github.com/tangramdotdev/tangram.

Tangram | Senior Rust Programmer | Remote | https://www.tangram.dev

Tangram is an all in one machine learning framework designed for programmers. With Tangram, developers can train models and make predictions on the command line or with libraries for languages including Elixir, Go, JS, Python, Ruby, and Rust, and learn about their models and monitor them in production from a web application. To learn more about what the product does, watch the demo on the homepage at https://www.tangram.dev or check it out on GitHub at https://www.github.com/tangramdotdev/tangram.

We are looking to grow our engineering team with senior Rust programmers. We are currently based in Boston, MA but are looking to build a remote team. At Tangram, you'll get to work on everything from our core machine learning algorithms to writing front-end code in Rust! We are looking for developers with experience in Rust and familiarity with or willingness to learn machine learning concepts. If this sounds exciting, email me (Isabella, cofounder) at [email protected].

We chose to use Rust instead of TypeScript for the front end of https://github.com/tangramdotdev/tangram.

This allows us to:

* Share code with our server written in Rust.

I'm working on machine learning in Rust at Tangram. We currently only provide an implementation of linear models and gradient boosted decision trees but will move into exposing training of deep models in the future. You can check out Tangram here: https://github.com/tangramdotdev/tangram. You may also be interested in checking out Linfa https://github.com/rust-ml/linfa. If you're interested in the future of machine learning in Rust, check out Luca Palmieri's blog post: https://www.lpalmieri.com/posts/2019-12-01-taking-ml-to-production-with-rust-a-25x-speedup/

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.