Developer activity networks
Weekly contribution timelines and collaboration graphs show who works together across modules — not just commit counts.
Engineering intelligence
Decode contribution patterns, ownership trees, and complexity hotspots — from any public GitHub repository.
Map ownership, collaboration, and complexity hotspots from public Git history — or use a showcase demo.
CodeAtlas turns Git history into maps you can act on — ownership risk, collaboration, and refactor priorities.
Weekly contribution timelines and collaboration graphs show who works together across modules — not just commit counts.
Interactive trees surface folders with low bus factor so you can plan pairing and reduce single-person risk.
Complexity vs. change-frequency quadrants highlight files that deserve refactoring before they become liabilities.
How metrics work, rate limits, and how your tokens are handled.
It queries GitHub for commits, contributors, languages, and the repository tree, then derives ownership shares, collaboration links, and hotspot scores. When a developer dominates more than ~60% of recent change, that signals elevated knowledge-silo risk.
The bus factor estimates how many people would need to leave before critical knowledge is at risk. A bus factor of 1 means a single engineer owns the bulk of a module — a high operational risk.
We combine change frequency (churn across recent commits) with an approximate complexity score. Files that are both complex and frequently edited rise into the critical quadrant for refactor prioritization.
Yes — unauthenticated GitHub access is about 60 requests per hour. Use PAT in the navbar to save a Personal Access Token and raise the limit to 5,000/hour.
Yes. Save a GitHub PAT with the repo scope. CodeAtlas will use it from your browser to load private metadata and build the same dashboards.
Tokens stay client-side in localStorage and are sent only to GitHub over HTTPS. Nothing is uploaded to a CodeAtlas backend.