FAQ

What is NosoGraph? Disease Intelligence. Connected. Open-source research software for connecting disease knowledge, evidence, and provenance across biomedical sources.

Who is it for? Researchers, developers, students, curators, and institutions evaluating open research software.

Is NosoGraph medical advice? No.

How many diseases does it support? 10,407 registry modules in v0.1.0; 88 pass strict L2 validation. Counts: public-status.yaml.

Are all diseases equally curated? No. Registry ≠ curation depth.

Where does the data come from? Upstream ontologies and databases. Sources.

Can I use it offline? CLI and fixture-backed tests can run offline. Live connectors need the network.

Does it require an LLM? No. Optional LLM enrichment is experimental.

Does it use OpenAI? Only if you set OPENAI_API_KEY for optional workflows.

Can I add a disease? Yes, via the curation path.

Can I add a data source? Propose it with the data-source issue template; integration is a reviewed engineering change.

Can I use it in academic research? Yes, with citation and license/data-term compliance.

How do I cite it? Citation.

What license? Apache-2.0 for code; upstream terms for data.

Can I deploy it myself? Yes. Deployment.

What is NosoGraph Compare? An experimental multidimensional comparison slice.

What is the Evidence Workspace? A BETA workflow that assembles evidence into claims and ranked hypotheses.

Why is the Python package still called med-research? Compatibility. See package naming.