karpathy/covid-sanity — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2020-05-03
Search and sort COVID-19 preprint papers from bioRxiv and medRxiv by topic.
Find papers similar to one you're reading using abstract-based machine-learning matching.
Deploy your own instance to track a fast-moving body of research during a crisis.
See Twitter discussion linked to a specific research paper.
| karpathy/covid-sanity | facebookresearch/spdl | jmmy9609-design/gpt-pp | |
|---|---|---|---|
| Stars | 393 | 393 | 396 |
| Language | Python | Python | Python |
| Last pushed | 2020-05-03 | 2026-06-25 | — |
| Maintenance | Dormant | Active | — |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 3/5 | 3/5 | 4/5 |
| Audience | researcher | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Needs an hourly update script and Flask hosting to keep the paper database current.
A searchable database of COVID-19 research papers that uses machine learning to find similar papers, helping researchers cut through the flood of preprint publications.
Mainly Python. The stack also includes Python, Flask.
Dormant — no commits in 2+ years (last push 2020-05-03).
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
double-check against the repo, no cap.