Overview
Repolyze’s repository analysis gives you instant insights into any GitHub repository. Simply paste a repository URL and get a comprehensive breakdown of the codebase, from file structure to technical architecture.How It Works
Step 1: Enter Repository URL
Paste any public GitHub repository URL into the input field:Step 2: Analysis Process
The analysis runs through multiple stages:- Fetching - Retrieves repository metadata and file structure from GitHub
- Parsing - Processes the codebase and identifies technologies
- Analyzing - Generates insights, scores, and recommendations using AI
- Complete - Displays comprehensive results
Analysis results are cached for faster access. You’ll see a cache indicator when viewing previously analyzed repositories.
Step 3: View Results
Once complete, you’ll see:- Repository metadata - Stars, forks, primary language, license
- Technology stack - All detected frameworks, libraries, and tools
- Executive summary - AI-generated overview of the project
- Quick start commands - How to install and run the project
- Key folders - Description of major directories and their purpose
Branch Analysis
Analyze different branches to compare implementations:Branch analysis helps you understand how feature branches differ from the main codebase.
File Structure View
The file tree provides an interactive view of the repository structure:- Visual hierarchy - Expandable/collapsible directory tree
- File counts - Total files and directories at a glance
- Language distribution - Breakdown by programming language
- File type icons - Visual indicators for different file types
- Quick navigation - Click any file to view on GitHub
Technology Detection
Repolyze automatically identifies:- Frameworks - React, Next.js, Express, Django, etc.
- Languages - TypeScript, Python, Go, Rust, etc.
- Build tools - Vite, Webpack, esbuild, etc.
- Testing frameworks - Jest, Pytest, Vitest, etc.
- Package managers - npm, yarn, pnpm, pip, cargo, etc.
- Databases - PostgreSQL, MongoDB, Redis, etc.
- Cloud services - AWS, Vercel, Netlify, etc.
Cached Results
To improve performance, analysis results are cached:- Results persist across sessions
- Refresh button available to reanalyze
- Branch-specific caching
- Cache indicator shows when data is loaded from cache
Analyzing Private Repositories
Next Steps
Health Scoring
Understand the quality metrics and scores assigned to repositories
Architecture Diagrams
Explore visual representations of system architecture
Export & Share
Learn how to share and export your analysis results