Temporal Code Intelligence platform analyzing Git history patterns to predict quality evolution and maintenance burden. Conversational AI agent reveals complexity trends, decay forecasting, and codebase health through mathematical pattern analysis and natural language interactions.

This is a tool written in python that calculates software quality metrics and then technical debt. It is specifically aimed at OOP Python softwares.

🔍 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.

Tool to compute the complexity of specified contributions to Git repositories

⛏️ Repository containing scripts and other resources for finding out how many projects use TDD in practice, based on Git history.

In this repo, we implemented some software metrics for Python

Windows app to analyze GitHub projects, visualize contributions, code complexity, productivity, and project health.

Software Static Analyzer is a python base tool to evaluate the evolution of software quality in the years, on the base of metrics value, presence of clones and other factor of static analysis of source code.

🔍 Git Repository Analytics Tool 📈 Analyze commit frequency and development activity 🚫 Flag poor commit messages and hygiene issues 🕳️ Detect dead (inactive) days in the commit timeline 🧠 Reveal the real development patterns of a Git repository Built with ⚙️ Git internals, 🐍 Python, and 📊 data analysis

A rewrite of the PRocess Internal MEtrics tools (PRIME)

📊 Analyze Git commit history to uncover developer activity patterns, improve commit practices, and enhance team productivity.