crates.io
rust
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crates.io | rust | |
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660 | 2,680 | |
2,789 | 92,627 | |
1.6% | 2.4% | |
10.0 | 10.0 | |
about 20 hours ago | 2 days ago | |
Rust | Rust | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
crates.io
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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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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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Cargo has never frustrated me like npm or pip has. Does Cargo ever get frustrating? Does anyone ever find themselves in dependency hell?
It's more that crates.io gets frustrating. When you end up with a pile of duplicated 3rd party transitive dependencies. Or find that something you foolishly chose as a dep has been abandoned. Or both.
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.
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Proxy gRPC to gRPC
Are there any crates that do this? If yes, I'd love to know about them, however, I'm doubtful as I've searched crates.io and found no luck.
rust
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Unformat Rust code into perfect rectangles
Almost fixed the compiler: https://github.com/rust-lang/rust/pull/123325
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Implement React v18 from Scratch Using WASM and Rust - [1] Build the Project
Rust: A secure, efficient, and modern programming language (omitting ten thousand words). You can simply follow the installation instructions provided on the official website.
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Show HN: Fancy-ANSI – Small JavaScript library for converting ANSI to HTML
Recently did something similar in Rust but for generating SVGs. We've adopted it for snapshot testing of cargo and rustc's output. Don't have a good PR handy for showing Github's rendering of changes in the SVG (text, side-by-side, swiping) but https://github.com/rust-lang/rust/pull/121877/files has newly added SVGs.
To see what is supported, see the screenshot in the docs: https://docs.rs/anstyle-svg/latest/anstyle_svg/
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Upgrading Hundreds of Kubernetes Clusters
We strongly believe in Rust as a powerful language for building production-grade software, especially for systems like ours that run alongside Kubernetes.
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What Are Const Generics and How Are They Used in Rust?
The above Assert<{N % 2 == 1}> requires #![feature(generic_const_exprs)] and the nightly toolchain. See https://github.com/rust-lang/rust/issues/76560 for more info.
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Algorithms for Modern Hardware
There’s also other reasons. For example, take binary search:
* prefetch + cmov. These should be part of the STL but languages and compilers struggle to emit the cmov properly (Rust’s been broken for 6 years: https://github.com/rust-lang/rust/issues/53823). Prefetch is an interesting one because while you do optimize the binary search in a micro benchmark, you’re potentially putting extra pressure on the cache with “garbage” data which means it’s a greedy optimization that might hurt surrounding code. Probably should have separate implementations as binary search isn’t necessarily always in the hot path.
* Eytzinger layout has additional limitations that are often not discussed when pointing out “hey this is faster”. Adding elements is non-trivial since you first have to add + sort (as you would for binary search) and then rebuild a new parallel eytzinger layout from scratch (i.e. you’d have it be an index of pointers rather than the values themselves which adds memory overhead + indirection for the comparisons). You can’t find the “insertion” position for non-existent elements which means it can’t be used for std::lower_bound (i.e. if the element doesn’t exist, you just get None back instead of Err(position where it can be slotted in to maintain order).
Basically, optimizations can sometimes rely on changing the problem domain so that you can trade off features of the algorithm against the runtime. These kinds of algorithms can be a bad fit for a standard library which aims to be a toolbox of “good enough” algorithms and data structures for problems that appear very very frequently. Or they could be part of the standard library toolkit just under a different name but you also have to balance that against maintenance concerns.
- Rust: Actix-web and Daily Logging
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Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
But that said, - and again I might be a bit biased - Groovy is too slow for me! I compared it to Rust in this LinkedIn post and it was waaaaay slow. Keep in mind that subjectively comparing programming languages might be a tricky business. But at the end, it will be up to your use case/project to prefer a language over the other.
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Top Paying Programming Technologies 2024
13. Rust - $87,012
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Dada, an Experiement by the Creators of Rust
Yes, actually.
https://github.com/rust-lang/rust/blob/d0ea1d767925d53b2230e...
Limited to the rust codebase itself, but I'm sure the developers would force it on everyone else if they thought they could get away with it.
What are some alternatives?
carbon-lang - Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
Odin - Odin Programming Language
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
Rustup - The Rust toolchain installer
rust-analyzer - A Rust compiler front-end for IDEs [Moved to: https://github.com/rust-lang/rust-analyzer]
go - The Go programming language
mimalloc - mimalloc is a compact general purpose allocator with excellent performance.
scala - Scala 2 compiler and standard library. Bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
docs.rs - crates.io documentation generator