CLI that scans Python and JavaScript/TypeScript codebases for technical debt-complexity, duplication, circular dependencies, and git hotspots.
Collection of tools to benchmark, assess code complexity, and plot results, developed for a P3HPC study.
Python package for calculating code complexity metrics of the target source code.
Local-first, multi-language static analysis with inspectable code metrics, offline reports and user-defined policies.
Replication package for "Not All AI Code Is Equal" — a multi-model comparison of defects, vulnerabilities, and complexity in human- and AI-generated code. Runs Pylint/PMD, Semgrep, and Lizard analyses over 500 Python & Java tasks each from Claude Opus 4.8, Gemini 2.5 Pro, and Qwen2.5-Coder vs. human code.
This repository allows the replication of our study "Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity" accepted for publication at The 36th IEEE International Symposium on Software Reliability Engineering (ISSRE 2025).
Measure the complexity of TodoMVC implementations
A pragmatic tool for measuring whether a codebase is too complex for its task.
🔍 CodeMetrix: A sophisticated code analysis and cost estimation tool that provides advanced metrics, quality assessment, and intelligent reporting for software projects. Features COCOMO II modeling, AST-based analysis, and multi-language support.
An extension for flake8 that validates cognitive functions complexity
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
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