C

code-quality

Standardized Ultralytics Python project template with packaging, tests, documentation, CI/CD, code quality, and development tooling.

GitHub: https://github.com/ultralytics/profile

https://ultralytics.com

RefactorIQ (Beta) — measure, prioritize, and communicate technical debt. Native desktop app for Windows and Linux.

Ultralytics Python package template with pytest and unittest examples, CLI, CI matrix, coverage, formatting, and automated PyPI releases.

GitHub: https://github.com/ultralytics/template

https://ultralytics.com

A lightweight and adaptable framework for design-by-contract in python.

Catch AI slop before it ships. Static analysis for AI-generated code, Rust CLI.

Fast, pure-Crystal reStructuredText (RST) linter with automated in-memory fix capabilities

Qualor CI/CD component: code quality and security scanning with a quality gate, uploaded to your self-hosted Qualor server. Source: github.com/qualor-dev/qualor

📡 SonarQube CE → GitLab: Code Quality, Secrets, SAST & Results View from one scan

Python tool that clones two Git repositories and reports lines of code appearing in both, with per-file duplication statistics

GitHub: https://github.com/ultralytics/source-trace

https://ultralytics.com

Reusable Ultralytics pre-commit hooks for automated code-quality checks, formatting standards, and consistent repository hygiene.

GitHub: https://github.com/ultralytics/pre-commit

https://ultralytics.com

Configuration-driven CLI for previewing, validating, and updating path headers across source code and documentation files.

DEPRECATED. Please see CodeClimate-based Code Quality scanning will be removed.

Python QA automation cookbook with reusable recipes for API testing, pytest patterns, CI/CD pipelines, Dockerized execution, Allure reporting, quality gates, and security scanning.

👉 Scans build output for warnings/errors

GitLab CI/CD component that runs Ruff, a Python linter and formatter, against your codebase.

Coordinated Agent Swarm Testing — open-source framework that deploys 100 Claude AI agents in five specialized squads (Security, Logic, Robustness, Performance, Data Integrity) to systematically analyze codebases for bugs, security issues, and code quality problems. A research-backed substitute for human beta testing. Empirical results from the published paper: 100 agents analyzed a 12,500-line React/TypeScript application in 63 minutes, identified 687 unique findings, at a total cost of $7.97 — compared to $2,000-$20,000 for equivalent human beta testing. Available via npm (cast-swarm) and as an MCP server. Apache 2.0 licensed. Published preprint available.

Real-time debugging dashboard for AI-assisted development. Monitor live events, services health, code quality, and AI agent interactions through an intuitive web interface. Features SSE streaming, VS Code integration, and 13 interactive tabs for comprehensive project insights.

An interpreter that translates input strings into lambda calculus expressions using parser combinators in Haskell.

CRken is cloud-native AI platform for startups, enterprises and individual developers. This repository docs and MR samples to help to utilize CRken API provided by API4AI.

CI/CD Component that provides automated code reviews and interactive discussions using various AI models. Based on OpenAI python module.