getting-started

Getting Started with GitFlow Analytics

Welcome! This section will help you get GitFlow Analytics up and running quickly.

🚀 Quick Path to Success

1. Installation

First, install GitFlow Analytics on your system: → Installation Guide

2. Quick Tutorial

Run through a 5-minute tutorial to see GitFlow Analytics in action: → Quick Start Tutorial

3. Your First Analysis

Analyze your first repository and understand the output: → Your First Analysis

📋 What You'll Learn

By the end of this section, you'll be able to:

• ✅ Install GitFlow Analytics on your system
• ✅ Configure basic authentication (GitHub tokens)
• ✅ Run your first repository analysis
• ✅ Understand the generated reports
• ✅ Interpret key metrics and insights

🎯 Prerequisites

Before you begin, make sure you have:

• Python 3.8+ installed on your system
• Git installed and accessible from command line
• GitHub account with repositories you want to analyze
• Basic familiarity with command-line tools

⏱️ Time Investment

• Installation: 5-10 minutes
• Quick Tutorial: 5 minutes
• First Analysis: 10-15 minutes
• Total: ~20-30 minutes

🤔 Need Help?

If you run into issues during setup:

1. Check our Troubleshooting Guide
2. Review Common Installation Issues
3. Look through GitHub Issues

🔄 What's Next?

After completing the getting started guide, you might want to:

• Customize Configuration - Learn about advanced options
• Enable ML Features - Set up machine learning categorization
• Explore Examples - See real-world usage scenarios
• Set Up Organization Analysis - Analyze multiple repositories

Ready to begin? Start with Installation!