cargo-xtask
By matklad
rust
Rust language bindings for TensorFlow (by tensorflow)
| cargo-xtask | rust | |
|---|---|---|
| 26 | 9 | |
| 736 | 4,997 | |
| - | 0.6% | |
| 3.0 | 5.2 | |
| 10 months ago | 5 months ago | |
| Rust | ||
| - | 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.
cargo-xtask
Posts with mentions or reviews of cargo-xtask.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-24.
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🏃♂️ Use task.go for your Go project scripts
💡 Inspired by matklad/cargo-xtask and based on 🏃♂️ Write your Rust project scripts in task.rs from the Rust ecosystem.
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clap_completion help requested
Using a cargo-xtask task to generate them as a manual step (inlyne currently does this)
- Cargo xtask: extend cargo with custom commands written in Rust
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Including a cargo command as a dev dependency
As someone else said just is good for that job, or you could implement an xtask helper for these things and setup a suitable development environment with that: https://github.com/matklad/cargo-xtask/
- Cargo xtask: extend stock, stable cargo with custom commands written in Rust
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Going beyond build.rs: introducing cargo-px
Well tools like cornucopia, prisma-rust-client, protoc-gen-tonic, they don't generate in build.rs, but instead provide either a cli to be called ahead of time, or provide a library that can be called by your own binary (which should generally follow the xtask pattern)
- Hey Rustaceans! Got a question? Ask here (17/2023)!
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Best way to include a utility command for my crate?
If I understand, this is a tool for when working on the project itself? Akin to a helper script? You could go the cargo install route as already pointed out but there is also the xtask convention.
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We have getrandom at home
For simple cli apps for internal use, such as cargo-xtasks, I prefer pico_args due to its fast compile times.
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Rust for Web Development | An Honest Evaluation
For developer-oriented stuff, there's tools like xshell and cargo-xtask. For operator tasks that need to run in a deployed environment, it's not usually a big lift to add CLI subcommands to your binary. It's certainly more boilerplate and inertia than doing stuff in a live REPL, though, and sometimes difficult to recommend for truly one-off situations.
rust
Posts with mentions or reviews of rust.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-20.
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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?
When comparing cargo-xtask and rust you can also consider the following projects:
just - 🤖 Just a command runner
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
cargo-make - Rust task runner and build tool.
leaf - Open Machine Intelligence Framework for Hackers. (GPU/CPU)
bors-ng - 👁 A merge bot for GitHub Pull Requests
anyhow - Flexible concrete Error type built on std::error::Error
rust - Empowering everyone to build reliable and efficient software.
Rustup - The Rust toolchain installer
waihona - Rust crate for performing cloud storage CRUD actions across major cloud providers e.g aws
rusty-machine - Machine Learning library for Rust
fzf - :cherry_blossom: A command-line fuzzy finder
solana - Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.