A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/

An easy to configure wrapper for Rust's clippy

Linting your rust project with clippy as a service

GitHub Action to automatically format Rust code and fix clippy lints.

Clippy is a cross-platform clipboard and notes manager that syncs across your devices. By the way, it's written in Rust.

A project template for setting up new Rust 2024 Edition projects with cargo-make/rustfmt/rust-clippy.

Strict Clippy lint configs for AI-assisted Rust development

check rust code in vim using cargo clippy

more lints for rust (now subsumed in rust-clippy)

Claude Code plugin for Rust development with rust-analyzer, clippy, rustfmt, and cargo-audit

vim plugin for rust-clippy linter

Emacs package for displaying Clippy lint diagnostics for Rust code

Dockerfiles to include rustc, cargo, rustfmt and clippy.

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Some examples of issues that C/C++ static analysis tools find that rust and clippy do not

🇨🇳翻译: <rust-clippy> 一系列的lints,以捕捉常见的错误,并改善你的Rust ❤️ 校对 🀄️

A nostalgical return of the Clippy assistant with a new AI twist.

Clippy is a lightweight rust app that discovers other instances on your network and synchronizes clipboard contents among them over TCP.

Codeclimate engine that executes rust-clippy

GitHub Actions: Clippy/Cargo package

[Closed] clippy (Rust linter) Docker image

A vim plugin for rust-clippy -- a rust linter.

See https://github.com/rust-lang/rust-clippy/issues/9560

A Rust Docker image including Clippy and rustfmt

A basic Rust project template with strict `clippy` lints.

Configurable, extensible linting rules for Rust projects beyond rustfmt and Clippy

Rust builder for several opinionated tools like clippy, nextest, tarpaulin, cmake and more

A Neovim plugin for displaying Rust Clippy diagnostics in Telescope or Quickfix lists.

Model Context Protocol server for Rust development tools (clippy, rustfmt, cargo check, cargo test)

MCP server exposing Rust toolchain (cargo fmt, clippy, check, fix, rustc explain) for AI learning compensation