How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
🚀 fgprof is a sampling Go profiler that allows you to analyze On-CPU as well as Off-CPU (e.g. I/O) time together.
The main features of felixge/fgprof are: Code Analysis and Quality, Instrumentation and Tracing, Performance and Profiling.
Projects with overlapping indexed features include: awesome-skills/code-review-skill — This project is a specialized instruction set for AI coding agents designed to perform structured, language-specific… samber/cc-skills-golang — This is a collection of Go skills packaged as a plugin for AI coding assistants. Claude Code, Codex, and Copilot can… astral-sh/ruff — Ruff is a high-performance static analysis and code formatting tool designed for Python. Built in Rust, it functions… bcicen/grmon — Command line monitoring for goroutines. bearer/bearer — Bearer is a static analysis security testing tool and privacy compliance auditor. It identifies security… arl/statsviz — Visualise Go runtime metrics in real time.
This project is a specialized instruction set for AI coding agents designed to perform structured, language-specific code reviews. It functions as an automated tool that evaluates source code against predefined checklists to identify security, performance, and architectural inconsistencies across diverse technology stacks. The system distinguishes itself by employing a multi-phase analysis pipeline that moves from high-level architectural assessments to granular, line-by-line inspections. It utilizes a severity-based taxonomy to categorize findings, clearly separating blocking security issues
This is a collection of Go skills packaged as a plugin for AI coding assistants. Claude Code, Codex, and Copilot can discover and load the skills to follow idiomatic Go practices. Each skill is a curated body of guidance that covers topics such as style, naming, error handling, testing, concurrency, security, and observability. What sets it apart is how the skills are built and checked. Each one declares its name, trigger description, license, and allowed tools in structured metadata so an assistant can decide when to load it. Skills are split into layers, with startup metadata, an activated
Ruff is a high-performance static analysis and code formatting tool designed for Python. Built in Rust, it functions as a comprehensive engine that scans source code to detect programming errors, security vulnerabilities, and deviations from established coding standards. By parsing source code into a structured tree representation, it provides both automated linting and style enforcement across entire projects. The tool distinguishes itself through its speed and deep integration into the development lifecycle. It utilizes parallelized file processing to maximize throughput on large codebases
Visualise Go runtime metrics in real time