AI-Atlas score
| Machine Learning | 11 |
|---|---|
| Computer Vision | 0 |
| Data Science | 19 |
| NLP & LLMs | 25 |
| AI Agents | 39 |
| MLOps | 33 |
Each node is one domain, scored only from evidence in these public repositories. Select one to see why.
Working projects that apply the domain competently.
66 public repositories → 2 with AI work, evaluated. The other 64 (repositories without AI code, forks and empty repositories) are not scored and have no effect on the result. How repositories are selected
Ordered by how much each project adds to the Atlas score, not by its own score. A project with evidence in several domains can rank above one with a slightly higher project score. Choose a domain to focus on the projects with meaningful evidence there.
94% of Atlas Score
CheckMCP is a tool for auditing and scoring MCP servers across security, design, and cost dimensions. It provides a CLI, HTTP interface, MCP server mode, and a self-hosted security gateway for evaluating and protecting MCP-based AI systems.
6% of Atlas Score
ImmoDash is a data pipeline and dashboard for visualizing French real estate transactions (DVF) over three years. It collects data from official sources, processes it with Python/pandas, stores it in SQLite, and serves aggregated metrics via a React/TypeScript frontend with interactive maps, charts, and a mini-game.
