rayon
serde
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rayon | serde | |
---|---|---|
66 | 189 | |
10,082 | 8,473 | |
2.9% | 2.4% | |
9.0 | 9.2 | |
3 days ago | 12 days ago | |
Rust | Rust | |
Apache License 2.0 | Apache License 2.0 |
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.
rayon
- Too Dangerous for C++
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What Are The Rust Crates You Use In Almost Every Project That They Are Practically An Extension of The Standard Library?
rayon: Async CPU runtime for parallelism.
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Moving from Typescript and Langchain to Rust and Loops
In the quest for more efficient solutions, the ONNX runtime emerged as a beacon of performance. The decision to transition from Typescript to Rust was an unconventional yet pivotal one. Driven by Rust's robust parallel processing capabilities using Rayon and seamless integration with ONNX through the ort crate, Repo-Query unlocked a realm of unparalleled efficiency. The result? A transformation from sluggish processing to, I have to say it, blazing-fast performance.
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The Rust I Wanted Had No Future
(see https://github.com/rayon-rs/rayon/tree/master/src/iter/plumbing)
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General Recommendations: Should I Use Tree-sitter as the AST for the LSP I am developing?
Sequentially, generating tree-sitter AST for each file and querying for the links of each file takes around 2.3 seconds. However, I randomly remembered this crate rayon, and I decided to test it. It ended up improving the performance (just by changing 2 lines of code) to 200-300ms by parallelizing the iterators and tree-sitter queries. MAJOR.
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python to rust migration
Now if you really want to use Rust, you can rewrite only the part that are slowing down your consumer. It's easy by using Py03 and maturin. Maybe also rayon to parallelize.
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AI learns to play flappy bird (code in comments)
Maybe rayon could make some loops there and there faster if needed.
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Making Python 100x faster with less than 100 lines of Rust
One of the others understated pros of rewriting some parts in Rust, it's that you can parallelize easily with Rayon[0]
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Trying to learn by tutorials, for cannot find a single Actix/Diesel tutorial that actually compiles
On that topic, have you heard about our lord and savior rayon? 😊
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Brett Slatkin: Why am I building a new functional programming language?
> He spoke of the potential for functional languages to provide a significant, intrinsic advantage when it comes to parallel computing.
> (...)
> If that were true, you'd expect that the many existing functional programming languages would have already satisfied this need. But in my opinion, they haven't
Well there is https://futhark-lang.org/ - it runs on the GPU, and is awesome.
On the CPU side, I think that Rust plus https://github.com/rayon-rs/rayon was a huge breakthrough on writing parallel programs using both functional and imperative programming, and future languages should learn from its successes. The ownership system & the borrow checker, plus other type-level features like the Send and Sync traits, were essential to enable sharing read-only data between threads without synchronization, or sharing read-write data with synchronization, all checked at compile time for data races (which is a huge problem to solve, and is something that neither Go nor Java protects against at compile time)
Indeed Futhark shares a key feature with Rust: it uses uniqueness types to enable in-place updates, which is kind like a limited form of Rust ownership: if you are the sole user of some memory, you can update it and other code will be none the wiser. This kind of thing is very important to build functional programs that are performant in practice.
serde
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I pre-released my project "json-responder" written in Rust
tokio / hyper / toml / serde / serde_json / json5 / console
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Cryptoflow: Building a secure and scalable system with Axum and SvelteKit - Part 0
serde - Serializing and Deserializing Rust data structures
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Committing to Rust for Kernel Code
> If there are any Rust experts around...what am I missing?
Probably more good examples and possibly more ecosystem.
A first big decision is if you're going no-std or not, and if you end up in the no-std world the ecosystem shrinks substantially. If you're building a kernel that's probably not that much of a problem - the same shrinkage occurs for C/C++ - many such projects bootstrap with nearly zero ecosystem anyway.
The examples side is a bigger problem - I've recently been able to watch some of my more curmudgeonly C friends give it a good dive, and after an initial hump they're fairly happy with the core language. They still have regular issues with the ecosystem when they run into, in their words "web dev crap", which comes up even in the stdlib sometimes - a bugbear a while ago coming up down some error handling code paths. They attempted to send patches and hit nebulous arguments against the correctness target, which were largely born of misunderstandings of posix. This kind of thing can come up anywhere, if you take a dependency on some fancy IO abstraction that happens to be written in C, and you take it somewhere "novel" like a BSD, you might well run into the same. The point here is that _examples_ and _exercise_ of these tasks are the things that are going to shake more of this kind of thing out. At the same time though, it's important to reiterate that if you're on the nostd path, then largely you're on your own, which is equivalent to just gcc bare, and this kind of thing generally doesn't come up.
> Or is this a serious proposal about the future of operating systems and other low level infrastructure code?
This is a serious proposal. The outcome is really strong along key axes of correctness and safety. Those of us who've done it (e.g. Fuchsia, where I was) have been able to observe these benefits relative to history with the same teams using other languages (C, C++). We're professional engineers, these statements aren't coming from a place of craziness. The Android team have been writing about their journey: https://security.googleblog.com/search/label/rust
> Do you just program everything in unsafe mode?
Absolutely not. A good amount of bootstrapping effort has been going in across the ecosystem to make it ever easier to avoid unsafe. To take one slice of examples, there's crates that are designed to help you avoid copies while also avoiding dropping to unsafe - they provide tools for automatic structural analysis of the mapping boundary to make it easier to assert the relevant guarantees. Examples: https://docs.rs/zerocopy/latest/zerocopy/ (came out of Fuchsia), https://github.com/serde-rs/serde/releases/tag/v1.0.0 (serde is commonly used, but has more constraints here), https://rkyv.org/rkyv.html (not sure of prominence, but I hear people talk about it).
These kinds of tools get you a long way toward substantially safer code, without needing to think or audit nearly as much. We know that's important, we have plenty of data that demonstrates how important it is, and lately now, we have data that shows how effective it is too (see the aforementioned Android posts).
> What about runtimes?
They're out there, it depends what level of abstraction you're looking for, runtimes means different things to different people. For embedded there's typically a lot more focus on providing libraries rather than a whole runtime framework, so there are crates for a number of soc types out there which are well used, like https://docs.rs/cortex-m/latest/cortex_m/, or it's sibling minimal runtime crate https://docs.rs/cortex-m-rt/latest/cortex_m_rt/. As you get higher level, if you want to do more of the systems level interaction yourself there are a good number of options to choose from along the lines of reactor systems to get you to functional async executors that will build with nostd.
> It seems to me that Rust isn't even really intended to compete with C for the use cases in which C is dominant in 2023. Every indication is that for "serious Rust in production programming" it's mostly a C++ crowd.
The challenge here is that this is an inverted view - it's a C programmers view of C++ being ported over to Rust, and it distorts how the world looks. That doesn't actually apply to the other sides _intent_. Yes, Rust provides a lot more abstraction capabilities than C does, and in that specific regard it has some coarse similarity to C++. It's definitely _possible_ for someone to way off the deep end and produce obscure abstractions around things that a more reductionist bias is going to hate - and you can totally ignore those things and have a great time with the language. There are some really nice things in there which anyone will enjoy if they come at it with an open mind, things like enums and pattern matching, the rich and efficient iterator library, the crates tooling, configuration macros, and so on. There's a lot to love, and they're not things that C++ did well, and comparing it to C++ discards those considerations spuriously.
> Zig has sort of filled that similar space and seems to take the concerns of C programmers more seriously and the team has an attitude more in line with the C culture than the Rust team does
Zig is interesting in it's own right, and on a very surface level it is more similar to C, though this surface level is really "zigs stdlib has terrible and inconsistent short names similar to libc and posix", which isn't really a good measure of anything in particular. It's perfectly functional along this axis and par for the course at the systems programming level.
The toolchain approach has a lot more of a "hacking for hackers" feel, so when you hit bugs and so on it's very typical for folks to be patching their stdlib locally for a while or building their own toolchain to overcome the problems. I spent a little bit of time there recently with building ghostty on windows and was regularly messing with my toolchain and stdlib to make forward progress. Along these lines it's also much less complete - which is largely a function of being much newer, but you can take a ton of rust projects today, particularly things in the GUI space and build them for every major target platform with nearly zero effort. Zig is very very far off that, and there's going to be a need for a lot better platform level abstractions to get there. Rust did a great job with platform abstractions, which sadly was best documented in an anti-go inflammatory articles, but the point stands and if more generalized stands against zig at times too (https://fasterthanli.me/articles/lies-we-tell-ourselves-to-k... and other similar rants he wrote), though not all points port over.
The LLVM removal kind of move is somewhat enabled by this looser approach, which is also helped by the kinds of users the language has, and the smaller ecosystem. Another way of putting that might be "this is the right time to do this", as doing it later might lead to far more user pain and community noise or negativity. It's great for the world as we need more diversity, but it's also not all roses. At my current work we tried out Zig for hermetic cross-builds something that a lot of people tout as a strength. What we found was that the intrinsics that were written in pure Zig were sufficiently far behind libgcc/compiler-rt that it did not have sufficient performance for our use case - literally the binary couldn't handle our production load. Again, this is the kind of thing that can and likely will improve with time, hell if it was a priority I would have done it, but we had other solutions. Point is it's not as simple as a "this vs that" outcome, these moves have long running implications that may or may not affect a particular target - as an example it didn't really harm ghostty at all.
When you talk about culture each of these ecosystems has it's own dominant culture and a wide set of subcultures. How you choose to integrate with those, if you do at all, is up to you. Some might be more attractive for sure, and some might provide a different risk profile for different use cases as well.
Just off the cuff if I was scaling up a team for a professional project with a long lifecycle, I'd probably lean toward rust right now as it has a good balance of stable evolution and production readiness, without being anywhere near as stagnant as C++ despite much effort to move the needle. If I was in a really hacker mood where I just want to twiddle and mess with stuff, I'm not excessively performance sensitive (beyond the general order of magnitude that native compilation and near zero abstractions gets you), and my team is going to remain small and expert "everyone cracks open the source" folks, then I might pick Zig. These days I don't have many good reasons to pick C anymore. If it's patching a pre-existing thing there's no choice of course, but other than that it's mostly going to be "I'm throwing a 30 minute build onto arduino and don't wanna go off the beaten path for this project" kind of thing.
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What Are The Rust Crates You Use In Almost Every Project That They Are Practically An Extension of The Standard Library?
serde: Serialization and deserialization framework.
- Next Validator of Rust–Valitron
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This isn’t the way to speed up Rust compile times
Note that the pre-compiled binary blob the blog post is referring to has since been removed [0].
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Beyond SQL: A relational database for modern applications
> In other words, there is still a (lossy) translation layer, it just happens to be in the RDBMS rather than in-app.
It's not lossy if your application can guarantee a json <-> datatype roundtrip and the json is validated with jsonschema (generated by your application)
In Rust it's something like this
https://serde.rs/ to do the data type <-> json mapping
https://docs.rs/schemars/latest/schemars/ to generate jsonschema from your types
https://github.com/supabase/pg_jsonschema to validate jsonschema in your database (postgres). with this setup it's interesting (but not required) to also use https://docs.rs/jsonschema/latest/jsonschema/ to validate the schema in your application
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A Simple CRUD API in Rust with Cloudflare Workers, Cloudflare KV, and the Rust Router
To serialize and deserialize data, we'll employ the popular serde crate along with serde_json. This will allow us to easily convert between Rust types and JSON when working with API requests and responses. For async operations we'll use the Rust futures crate.
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Precompiled binaries removed from serde v1.0.184
I'm not sure if it's the same person as the OP, but I suspect it is.
This provides some additional context for why the pre-built binary was added:
https://github.com/serde-rs/serde/issues/2584#issue-18580752...
Due to the way that the derive feature was causing the dependency chain in Cargo to be longer than necessary, thereby making it impossible for cargo to compile multiple crates in parallel.
What are some alternatives?
crossbeam - Tools for concurrent programming in Rust
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
bincode - A binary encoder / decoder implementation in Rust.
RxRust - The Reactive Extensions for the Rust Programming Language
json-rust - JSON implementation in Rust
json - Strongly typed JSON library for Rust
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
nom - Rust parser combinator framework
msgpack-rust - MessagePack implementation for Rust / msgpack.org[Rust]
rust-asn1 - A Rust ASN.1 (DER) serializer.
tokio-rayon - Mix async code with CPU-heavy thread pools using Tokio + Rayon
yaml-rust - A pure rust YAML implementation.