Schematerial translates between heterogeneous materials-science data models by generating semantic crosswalks, executable mappings, and human-in-the-loop alignment reports.
AI agents assist with schema inspection, ontology grounding, ambiguity detection, and evidence-based mapping suggestions.
Prerequisites: uv and Python >=3.12.
uv sync # install deps + editable package into .venv
uv run pytest # run tests
uv run ruff check . # lint
uv run pyright # type check