hugging-science

Discovers and evaluates scientific datasets, models, methodology posts, and Spaces through the Hugging Science catalog. Used when selecting scientific ML resources in biology, chemistry, genomics, materials, climate, physics, astronomy, medicine, mathematics, protein design, single-cell analysis, or PDE modeling, and when checking their actual datasets, Transformers, native-runtime, Inference Providers, or Gradio interfaces.

Version

1.5

Compatibility

Requires Python 3.10+ and network access for the standard-library catalog fetcher. Resource use needs the matching scientific runtime; optional HF_TOKEN for gated access.