A free tool that reads your public GitHub repositories and maps the AI skills your code actually demonstrates across six domains.
AI-Atlas homepage with example profile
1 / 2Overview
What is AI-Atlas?
Your GitHub's AI projects, scored from the actual code
AI-Atlas reads your public GitHub projects and maps the AI capabilities your work actually demonstrates — judged on what you built, not on what you imported. It finds the AI projects among the public repositories an account owns, filters out forks and empty projects, then scores each project on a 7-part rubric covering technical depth, difficulty, originality, completeness, usefulness, educational value and reproducibility, with the exact files behind every score.
Results are mapped across six domains — Machine Learning, Computer Vision, Data Science, NLP & LLMs, AI Agents and MLOps — into a profile that shows the shape of a public AI portfolio. Mapping is free and needs no account; claiming an Atlas with read-only GitHub sign-in adds opt-in leaderboards, project boards, a live README badge and a first improvement roadmap.
Only public repositories are read, code is never executed, and ranking only applies to claimed profiles. Planning credits turn a project's evidence into a prioritized roadmap or a what-if estimate, but credit checkout is currently closed.
Platforms and languages
AI-Atlas Availability
Platforms
Languages
Capabilities
AI-Atlas Key Features
AI project discovery
Finds the AI/ML projects among your public repos, filtering out forks, empty projects and non-AI work.
Explainable 7-part rubric
Scores each project on technical depth, difficulty, originality, completeness, usefulness, educational value and reproducibility, with file-level evidence behind every score.
Six-domain skill map
Maps demonstrated work across Machine Learning, Computer Vision, Data Science, NLP & LLMs, AI Agents and MLOps.
Improvement roadmaps
Gives a free first roadmap with concrete, file-level steps to level up a project, exportable as a checklist or openable as GitHub issues.
Leaderboards and README badge
Claim your Atlas with read-only GitHub sign-in to join opt-in leaderboards and add a live README badge.
Best for
Who uses AI-Atlas?
Developers with public AI work on GitHub
Show what your AI projects actually demonstrate, beyond stars and followers, when job hunting or building credibility
Plans and access
AI-Atlas Pricing
Free
Atlas, scores and leaderboards free; first roadmap free; planning-credit checkout currently closed
Common questions
AI-Atlas FAQs
How much does AI-Atlas cost?
Mapping, scores, evidence and leaderboards are free. Your first roadmap is free, and further roadmaps use planning credits, whose checkout is currently closed.
Does AI-Atlas read my private repositories?
No. It only reads public repositories an account owns, and code is never executed.
How is a project scored?
On a 7-part rubric — technical depth, difficulty, originality, completeness, usefulness, educational value and reproducibility — with the exact files behind every score.
Do I need an account to map my GitHub?
No. Mapping is free with no account. Claiming an Atlas with read-only GitHub sign-in adds leaderboards and a README badge.
What does claiming add?
A place on opt-in global, country and field leaderboards, project boards, a live README badge and a free first improvement roadmap.
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