Core shared logic for no-mistakes static analysis tools
An error handling crate for functions that produce multiple errors
Static analysis tools for codebase dependency and symbol queries
A C preprocessor compliant with C23 standard implemented in Rust.
Take a word and return a list of common spelling mistakes
Augmentations for error propagation
A compact protobuf-like serializer and deserializer for the Rust Language.
Bindings for the Kubernetes client API
Stateful graph runtime for LLM workflows in Rust (community project; not affiliated with LangChain). Pregel-style execution: nodes, conditional edges, checkpoints, streaming. Optional adapters for Ollama, OpenAI, OpenRouter (OpenAI-compatible), and Anthropic; optional ReAct agent + tools. Crate import: rust_langgraph (underscore). Default features include in-memory checkpoints. Enable Cargo features explicitly for LLM modules (e.g. ollama, openai, openrouter, anthropic, prebuilt). See README.md on crates.io for copy-paste Cargo.toml, env vars, and common mistakes.
Multi-Dimensional Analog Literals in Rust
Simple (and probably flawed) little library for working with ANSI color codes.
A scratched blockchain implementation
Gem for emulating data entry errors
Corrects spelling and grammar mistakes based on the context of complete sentences.
A Danger plugin for PMD.
Adds a 'lint' command rubygems that will print a list of possible errors in a gem
minimal-mistakes optimised for developer blog, RTL enabled
A library of Ruby methods to simulate data entry mistakes
Checks JSON files for correct syntax and no silly mistakes
Replace veba mistakes when writing puts =)
Minor tweaks to Michael Rose's Minimal Mistakes theme.
Automatically tests your Rails app for common database query mistakes
A Jekyll plugin that checks the generated HTML and CSS for common mistakes.
In IRB, fzzrqr will browse your gem path and find the closest match to what you require.