are-we-learning-yet
How ready is Rust for Machine Learning? (by anowell)
crates.io
The Rust package registry (by rust-lang)
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| are-we-learning-yet | crates.io | |
|---|---|---|
| 5 | 660 | |
| 422 | 2,789 | |
| - | 1.6% | |
| 4.9 | 10.0 | |
| 3 days ago | about 23 hours ago | |
| Rust | Rust | |
| Creative Commons Attribution 4.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
are-we-learning-yet
Posts with mentions or reviews of are-we-learning-yet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-02.
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This year I tried solving AoC using Rust, here are my impressions coming from Python!
Also http://arewelearningyet.com
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[D] Is Rust stable/mature enough to be used for production ML? Is making Rust-based python wrappers a good choice for performance heavy uses and internal ML dependencies in 2021?
Hey OP, you might want to check this site out: http://arewelearningyet.com
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Is rust good for mathematical computing?
Note that you can update the page (adding packages or updating descriptions) via those github issues: https://github.com/anowell/are-we-learning-yet/issues
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I wanted to share my experience of Rust as a deep learning researcher
Not sure if you’ve encountered it, but you should be aware of http://arewelearningyet.com
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Announcing neuronika 0.1.0, a deep learning framework in Rust
Just make a PR: https://github.com/anowell/are-we-learning-yet
crates.io
Posts with mentions or reviews of crates.io.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-26.
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Migrating a JavaScript frontend to Leptos, a Rust framework
So, be sure to double-check your critical libraries and be sure their alternatives exist in the Rust ecosystem. There’s a good chance the crates you need are available in Rust's crates.io repository.
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Learning Rust: A clean start
The previous section was very simple, this section is also very simple but introduces us to cargo which is Rust's package manager, as a JS dev my mind goes straight to NPM.
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#2 Rust - Cargo Package Manager
Now, there has to be a place where all these packages come from. Similar to npmjs registry, where all node packages are registered, stored and retrieved, Rust also has something called crates.io where many helpful packages and dependencies are registered.
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Rust 🦀 Installation + Hello World
Before proceeding, let's check https://crates.io/, the official Rust package registry.
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Underestimating rust for my Project.
The most thrilling aspect has been the joy of writing the backend. It's like every struct, enum, and method in Rust forms this interconnected Multiverse of code , which you can see in crates.io which is best Documentation experience I Ever Had.
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Top 10 Rusty Repositories for you to start your Open Source Journey
5. Crates.io
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Project Structure Clarification Coming From Python - With Example
When using crates from eg. crates.io, and also things like std and core
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Cargo has never frustrated me like npm or pip has. Does Cargo ever get frustrating? Does anyone ever find themselves in dependency hell?
Vendoring your packages was very tedious to even remotely get to work with Cargo. I spent a very long time getting Cargo to work together with cargo-local-registry. We vendor crates from crates.io and a custom internal registry.
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How did I need to know about feature rwh_05 for winit?
So this is my question: Which way was the right to find it out? There is no info about this feature on crates.io. I also have no clue what exactly it does and why it is named rwh_05.
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15,000 Go Module Repositories on GitHub Vulnerable to Repojacking Attack
Rust does it so much better with https://crates.io . I don't know why Go can't (or won't) do something similar.
What are some alternatives?
When comparing are-we-learning-yet and crates.io you can also consider the following projects:
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
docs.rs - crates.io documentation generator
neuronika - Tensors and dynamic neural networks in pure Rust.
plotters - A rust drawing library for high quality data plotting for both WASM and native, statically and realtimely 🦀 📈🚀
wgpu - Cross-platform, safe, pure-rust graphics api.
Cargo - The Rust package manager
book - The Rust Programming Language
trunk - Build, bundle & ship your Rust WASM application to the web.
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
gtk4-rs - Rust bindings of GTK 4
Awesome-Rust-MachineLearning - This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
Rocket - A web framework for Rust.
are-we-learning-yet vs rust-gpu
crates.io vs docs.rs
are-we-learning-yet vs neuronika
crates.io vs plotters
are-we-learning-yet vs wgpu
crates.io vs Cargo
are-we-learning-yet vs book
crates.io vs trunk
are-we-learning-yet vs rust-bert
crates.io vs gtk4-rs
are-we-learning-yet vs Awesome-Rust-MachineLearning
crates.io vs Rocket