github-repo-analyzer 0.1.1

Convert GitHub repositories to markdown with detailed analysis

GitHub Repository Analyzer

A Python package for analyzing GitHub repositories and generating detailed markdown reports. This tool helps you understand repository structure, calculate token counts, and generate comprehensive documentation.

Features

• Generate comprehensive source tree visualization
• Calculate total token count using OpenAI's tiktoken library
• Provide file type statistics and repository summaries
• Support parallel processing for faster analysis
• Handle multiple programming languages
• Exclude common non-code directories
• Generate beautiful markdown reports

Installation

pip install github-repo-analyzer

Quick Start

As a Python Package

from github_repo_analyzer import analyze_github_repo

# Analyze a single repository
report = analyze_github_repo("https://github.com/username/repo")
print(report)

# Batch analyze multiple repositories
from github_repo_analyzer import batch_analyze_repos
repos = ["https://github.com/user1/repo1", "https://github.com/user2/repo2"]
results = batch_analyze_repos(repos)

Command Line Interface

# Analyze a single repository
repo-analyzer --url https://github.com/username/repo

# Analyze multiple repositories from a file
repo-analyzer --batch repos.txt

# Use custom configuration
repo-analyzer --url https://github.com/username/repo --config config.json

# Save output to file
repo-analyzer --url https://github.com/username/repo --output report.md

Configuration

Create a config.json file to customize the analysis:

{
    "extensions": [".py", ".js", ".ts"],
    "exclude_dirs": [".git", "node_modules"],
    "max_file_size": 1048576,
    "token_encoding": "cl100k_base",
    "max_workers": 4,
    "output_format": "markdown"
}

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

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

Acknowledgments

• OpenAI's tiktoken library for token counting
• GitPython for repository handling