miri VS Clippy

Compare miri vs Clippy and see what are their differences.

miri

An interpreter for Rust's mid-level intermediate representation (by rust-lang)

Clippy

A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/ (by rust-lang)
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miri Clippy
120 120
3,931 10,736
2.3% 1.5%
10.0 10.0
about 11 hours ago about 14 hours ago
Rust Rust
Apache License 2.0 GNU General Public License v3.0 or later
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.

miri

Posts with mentions or reviews of miri. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-31.

Clippy

Posts with mentions or reviews of Clippy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-10.

What are some alternatives?

When comparing miri and Clippy you can also consider the following projects:

sanitizers - AddressSanitizer, ThreadSanitizer, MemorySanitizer

rustfmt - Format Rust code

cons-list - Singly-linked list implementation in Rust

vscode-rust

rust - Empowering everyone to build reliable and efficient software.

rust.vim - Vim configuration for Rust.

Rust-Full-Stack - Rust projects here are easy to use. There are blog posts for them also.

rust-analyzer - A Rust compiler front-end for IDEs [Moved to: https://github.com/rust-lang/rust-analyzer]

rfcs - RFCs for changes to Rust

Rust for Visual Studio Code

nomicon - The Dark Arts of Advanced and Unsafe Rust Programming

intellij-rust - Rust plugin for the IntelliJ Platform