Rustup
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Rustup | rust | |
---|---|---|
58 | 9 | |
5,866 | 4,984 | |
1.6% | 2.2% | |
9.5 | 5.2 | |
9 days ago | 5 months 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.
Rustup
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Problem with rust-analyzer in helix
I got it to finally work by following this
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Do you use relative toolchain paths with rustup? Let us know!
If you are someone actively using such relative-path toolchains, please contact us (Discord / Github issues).
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Canonical hiring Rust toolchain dev
We had a snap package; we removed it in mid 2022
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Announcing Rustup 1.26.0 | Rust Blog
I don't know. The PR references prior discussion without a link, so it may have been private.
- Foundation - Open Membership
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Telemetry really goes into Go toolchain, no matter what
As long as he doesn't put hidden folders in your root like rust. https://github.com/rust-lang/rustup/issues/341
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telemetry in the go toolchain? just say no...
I think you're being upvoted by folks who don't know better, which is a shame because you're making things up :/. The telemetry feature in rustup kept everything local and never "pinged home". And you had to enable it with a command `rustup telemetry enable`. And it just logged JSON files at the path you mentioned. By 2019, the feature was disabled (see: https://github.com/rust-lang/rustup/issues/341 ) because no one worked on it and it just gathered bugs.
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Go claims telemetry objectors arguing in bad faith and violating Code of Conduct
FWIW, there is a proposal to add telemetry to LLVM [0] and Rust used to have telemetry [1], both off by default. Some things in the node.js world have telemetry enabled by default, like Next.js [3].
Some people are posting here as if this as already decided -- AFIACT, that's not the case. It's not even a formal proposal yet, and the stated intent was to start a conversation around something concrete. (For context, this is standard for how I've seen the Go project approaches large topics, including for example I think there were something like ~8 very detailed generics design drafts from the core Go team over ~10 years).
It sounds like the Go team is going to take some time to look into some of the alternative approaches suggested in the feedback collected so far.
In any event, this is obviously a topic people are very passionate about, especially opt-in vs. opt-out, but I guess I would suggest not giving up hope quite yet.
[0] https://discourse.llvm.org/t/rfc-lldb-telemetry-metrics/6458...
[1] https://github.com/rust-lang/rustup/issues/341
[2] https://nextjs.org/telemetry
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Google's Go may add telemetry reporting that's on by default
Rust (Specifically Rust Up) seems to have planned to include telemetry but they paused and cancelled the decision, possibly after implementing it initially.
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Who "owns" Rust ?
https://github.com/rust-lang/rustup/issues/341 and rust installation uses telemetry
rust
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Have you ever wanted a library to check for 69 in a string?
You can use Tensorflow for Rust to simplify that task and avoid pain with regex. Just have the right mindset.
- Rust vs cpp for a new engineer to autonomous vehicles and robotics
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Making a better Tensorflow thanks to strong typing
What is the benefit of this compared to using bindings/a wrapper to Tensorflow, or other ML libraries written in C/C++, such as this community hosted project on tensorflow's github. If it's just for fun that is a valid enough reason imo, just curious since you describe it as a better Tensorflow because of the typing vs using the python wrapper, when there already exist ways to interact with tensorflow with both Rust and other statically typed languages, also including C++ (officially supported), C#, Haskell and Scala, as well as probably having bindings not mentioned on the documentation for more niche languages.
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Integrating machine learning models into Rust applications?
(3) You could use TensorFlow as your executor: https://github.com/tensorflow/rust
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Why Static Languages Suffer From Complexity
TensorFlow has language support for TypeScript well as Rust.
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Is PyO3 library production ready?
Thank you for the restponse! With tensorflow I am probably better of with something like; [tensorflow rust bindings](https://github.com/tensorflow/rust/tree/master/src). But I believe some useful extensions are still written in python for example; [TFDV](https://github.com/tensorflow/data-validation).. and how about scikit-learn or even something that is simpler like fb-prophet that is entirely written in python?
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How mature is the QT integration?
Tensorflow bindings exist, technically, but they're in a pretty rough state AFAIK.
- Feasibility of Using a Python Image Super Resolution Library in My Rust App
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Rusticles #10 - Wed Sep 09 2020
tensorflow/rust (Rust): Rust language bindings for TensorFlow
What are some alternatives?
rust - Empowering everyone to build reliable and efficient software.
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
rust-mode - Emacs configuration for Rust
leaf - Open Machine Intelligence Framework for Hackers. (GPU/CPU)
rust-on-raspberry-pi
anyhow - Flexible concrete Error type built on std::error::Error
Rust for Visual Studio Code
rusty-machine - Machine Learning library for Rust
Rust Language Server - Repository for the Rust Language Server (aka RLS)
solana - Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.
cargo-modules - Visualize/analyze a Rust crate's internal structure
CNTK - Wrapper around Microsoft CNTK library