Frequently asked questions

Models are curated by AI agents that research candidates from primary sources — papers on arXiv and bioRxiv, peer-reviewed venues, and official code on GitHub and Hugging Face. To be included, a model must be a genuine biological foundation model that is in scope for the catalog: applying modern machine learning to a core problem in biology such as protein structure or design, genomics, RNA, single-cell analysis, pathology, or biomedical imaging. Before anything is added, an agent verifies the model is real and credibly sourced — backed by an identifiable paper and a public implementation or weights, not vaporware — and confirms it is not already listed. Inclusion reflects scientific credibility and relevance, not popularity or paid placement.

The leaderboard sorts models by transparent, objective metrics — citation count, GitHub stars and forks, and Hugging Face downloads and likes — refreshed daily from public APIs. These are adoption signals, not a judgment of scientific quality; the editorial point of view lives in the model write-ups.

Models are assessed against the Model Openness Framework (MOF), which scores how much of a model is actually released — code, weights, training data, documentation, and licenses — rather than just whether it is labeled “open.”

Citation metadata is enriched from Semantic Scholar and CrossRef using each paper's DOI. Repository and download metrics come from the GitHub and Hugging Face APIs. Everything is refreshed on a daily schedule so rankings stay current without manual updates.

Yes. Use the “Submit a model” button on the Models page to suggest something new. To report a problem with an existing entry, use the “Flag content” button on that model's page — every model page has one.

bio.rodeo is built by a single developer, Justin Kiggins, using Claude Code — with a set of specialized skills and custom AI agents that handle brand consistency, engineering quality, and content curation.

No — the prose is researched and written by AI agents from primary sources, with cited, fact-checked details rather than copied marketing text. Quantitative metrics are pulled automatically from public APIs. A human designs and oversees the system; the writing is not done by hand.

bio.rodeo is built and maintained by Justin Kiggins as a project of Pulsatance. There is no paywall and no advertising. Learn more on the About page.