Turn any GitHub repository into comprehensive code analysis with interactive call graphs and multi-language support.

• Multi-language Analysis: Support for Python, JavaScript, TypeScript, Rust, Go, C, and C++
• Tree-sitter Powered: Advanced syntax parsing with tree-sitter for accurate code analysis
• Call Graph Generation: Interactive visualizations showing function relationships
• Web API: RESTful API for integration with other tools and frontends
• Real-time Analysis: Live progress tracking and results
• Repository Insights: File structure, function counts, and relationship mapping
• LLM-Ready Output: Structured JSON optimized for AI analysis

GitProbe's interactive call graph visualization showing function relationships and code structure analysis

• Python 3.8+
• Git (for repository cloning)
• Internet access for GitHub repository analysis

# Clone the repository git clone https://github.com/your-org/gitprobe.git cd gitprobe # Create virtual environment python -m venv env source env/bin/activate # On Windows: env\Scripts\activate # Install dependencies pip install -r requirements.txt

# Start GitProbe server ./gitprobe server # Server will be available at http://localhost:8000 # API documentation at http://localhost:8000/docs

# Analyze a GitHub repository python -m gitprobe https://github.com/user/repository # With custom output directory python -m gitprobe https://github.com/user/repository --output ./analysis/

# Start analysis curl -X POST "http://localhost:8000/analyze" \ -H "Content-Type: application/json" \ -d '{"github_url": "https://github.com/psf/requests"}'

import requests # Analyze repository response = requests.post("http://localhost:8000/analyze", json={ "github_url": "https://github.com/psf/requests", "include_patterns": ["*.py"], "exclude_patterns": ["*test*", "docs/"] }) result = response.json() print(f"Found {result['data']['summary']['total_functions']} functions") print(f"Languages: {result['data']['summary']['languages_analyzed']}")

{ "status": "success", "data": { "summary": { "total_functions": 235, "total_calls": 657, "languages_analyzed": ["python"], "files_analyzed": 45 }, "functions": [...], "relationships": [...], "visualization": { "cytoscape": {...} } } }

GitProbe includes a comprehensive integration test suite that validates all language analyzers:

# Install test dependencies pip install rich # Run quick tests (1 repo per language) python tests/test_integration.py --quick # Test all languages comprehensive python tests/test_integration.py # Test specific language python tests/test_integration.py --language python # Verbose output with detailed progress python tests/test_integration.py --verbose # JSON output for CI/CD python tests/test_integration.py --json > results.json

• Python: rich, requests, flask, cpython
• JavaScript: lodash, axios, express, node.js
• TypeScript: vscode, typescript, angular
• Rust: clap, ripgrep, rust compiler
• Go: cobra, hugo, kubernetes
• C: cJSON, libuv, curl
• C++: fmt, catch2, protobuf

gitprobe/ ├── src/gitprobe/ │ ├── analysis/ # Core analysis engine │ │ ├── analysis_service.py │ │ ├── call_graph_analyzer.py │ │ └── repo_analyzer.py │ ├── analyzers/ # Language-specific parsers │ │ ├── python.py # Python tree-sitter analyzer │ │ ├── javascript.py # JavaScript/TypeScript analyzer │ │ ├── rust.py # Rust analyzer │ │ ├── go.py # Go analyzer │ │ ├── c_cpp.py # C/C++ analyzer │ │ └── ... │ ├── web/ # FastAPI web server │ │ └── server.py │ └── models/ # Data models │ └── ... ├── tests/ # Integration test suite │ ├── test_integration.py │ └── README.md └── requirements.txt 

# Optional: Custom server configuration export GITPROBE_HOST=0.0.0.0 export GITPROBE_PORT=8000

# Include/exclude patterns { "github_url": "https://github.com/user/repo", "include_patterns": ["*.py", "*.js"], "exclude_patterns": ["*test*", "node_modules/", "__pycache__/"] }

# Start GitProbe server (in one terminal) ./gitprobe server # Run integration tests (in another terminal) python tests/test_integration.py --quick

1. Create analyzer in src/gitprobe/analyzers/
2. Add tree-sitter language dependency to requirements.txt
3. Register analyzer in analysis service
4. Add test repositories to tests/test_integration.py

# Install in development mode pip install -e . # Install development dependencies pip install pytest black isort mypy # Run code formatting black . isort .

• Tree-sitter - Syntax parsing and analysis
• FastAPI - Web API framework
• Pydantic - Data validation and modeling
• Rich - Beautiful terminal output
• Cytoscape.js - Graph visualization (frontend)

• Large repositories (>1000 functions) are limited to 900 functions for performance
• Some complex C++ template syntax may not parse correctly
• Private repositories require local cloning

This project is licensed under the MIT License - see the LICENSE file for details.

GitProbe - Comprehensive multi-language code analysis with interactive call graphs.