🔍 GitHub Repository Intelligence Analyzer

Analyze GitHub repositories for activity, complexity, and learning difficulty.

Built for C2SI GSoC 2026 Pre-Task #541

How it works

  • Activity Score (0–100): weighted signal from commits, contributors, stars, forks, recency, releases
  • Complexity Score (0–100): file count, language diversity, dependencies, repo size, CI presence
  • Difficulty: Beginner 🟢 / Intermediate 🟡 / Advanced 🔴 — derived from both scores

Tips

  • Paste any public GitHub URL
  • Up to 10 repos per run
  • Set GITHUB_TOKEN secret for higher rate limits (5000 req/hr vs 60)
  • Empty / archived repos are handled gracefully

Scoring Formula

Activity (weights):

  • Commits last 90d — 30%
  • Contributors — 20%
  • Stars — 15%
  • Forks — 10%
  • Open issues — 10%
  • Recency — 10%
  • Releases — 5%

Complexity (weights):

  • File count — 30%
  • Language diversity — 25%
  • Dependency files — 20%
  • Repo size — 15%
  • Has CI/CD — 10%

Built with Python · Gradio · GitHub API | Source Code | GSoC 2026 Pre-Task Submission