GitHub Analytics
Deep insights into your GitHub activity and contributions
Introduction
GitHub Analytics transforms your repository data into actionable insights. It analyzes commits, languages, repositories, and contribution patterns to reveal your coding habits and technical strengths.
Why It Exists
Raw GitHub profiles show activity but not patterns. You might know you committed code, but not whether your consistency is improving or which languages dominate your work. GitHub Analytics surfaces these insights.
How It Works
After connecting your GitHub account via OAuth, Profile Analyzer fetches:
- Repository metadata
- Commit history
- Language statistics
- Star and fork counts
- Contribution calendar data
This data is processed to calculate proficiency levels, activity trends, and comparative metrics.
What You Can See
Repository Overview
Total repos, public vs private, forks, and stars.Language Distribution
A breakdown of languages used across all repositories, weighted by code volume.Contribution Heatmap
Visual calendar showing daily commit patterns over the past year.Activity Trends
Charts showing commit frequency over time, highlighting productive periods.Top Repositories
Your most active or popular repositories ranked by recent activity.Who Should Use This
- Developers wanting to understand their GitHub footprint
- Job seekers showcasing consistent contribution history
- Open source contributors tracking project involvement
Real-World Value
- Demonstrate consistent coding habits to employers
- Identify languages you actually use vs. ones you claim to know
- Spot periods of low activity that need attention
- Celebrate milestones like commit streaks
Common Scenarios
Portfolio Review
Before interviews, review which repositories best represent your skills.Language Audit
Discover that JavaScript dominates your work despite claiming Python expertise.Consistency Check
Verify that your New Year resolution to code daily is actually happening.Limitations & Notes
- Private repositories require appropriate OAuth permissions
- Very large accounts may take longer to sync
- Forked repositories are tracked separately from original work
- Commit counts include all branches
FAQs
Does it count commits to forked repos? Yes, but they are categorized differently from original repository commits.
Why are my language percentages unexpected? Percentages are based on code volume, not file count. A large project skews results.
Can I exclude certain repositories? Not currently. All accessible repositories are included in analytics.
How far back does the history go? We fetch available GitHub API history, typically covering several years of activity.