Hybrid Repository Intelligence System
RepoScope is a full-stack web application that analyzes public GitHub repositories using a hybrid approach combining deterministic metrics and AI-powered interpretation.
It evaluates repository health, risk, consistency, evolution trends, and generates strategic insights for long-term maintainability.
- Layer 1: Structural Parsing (GitHub REST API integration)
- Layer 2: Rule-Based Heuristic Scoring Engine
- Layer 3: LLM-based Strategic Interpretation
- Layer 4: Interactive Visualization Dashboard
- Repository metadata extraction and commit history analytics
- Health, Risk, Consistency, and Evolution scoring system
- Contributor and bus-factor risk analysis
- AI-generated development pattern & maintainability insights
- Interactive animated Bento-grid dashboard (React + Recharts + Framer Motion)
- CI/CD enabled deployment on Render
- Frontend: React, Recharts, Framer Motion
- Backend: Node.js, Express
- Database: Firebase Realtime Database (optional future extension)
- APIs: GitHub REST API
- AI: Large Language Model (LLM) Integration via OpenRouter
- Deployment: Render (CI/CD enabled)
- Health Score – Structural and operational maturity
- Risk Score – Maintainability and sustainability exposure
- Consistency Score – Development regularity
- Evolution Score – Growth and activity trajectory
The application is deployed on Render with automated CI/CD pipelines connected to the GitHub repository for continuous integration and deployment.
Live Demo: https://reposcope-for-dev.onrender.com
Repository: https://github.com/Midhun1618/RepoScope
- Dependency risk analysis
- Commit timeline heatmap visualization
- Multi-repository comparison mode
- PDF executive report export
© 2026 RepoScope Intelligence · Designed & Developed by Midhun