# geohot/corona

Reverse engineering SARS-CoV-2

Repository: https://github.com/geohot/corona
Canonical: https://ross.abutalabs.com/products/geohot-corona
Language: Python
License Family: other
Topics: covid-19
Last push: 2024-03-24T17:40:48+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2355, "days_push": 892, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2516, forks 483 (observed 2026-08-28T04:06:57.685851+00:00)

## What it is
A Python project by geohot that applies software reverse engineering techniques to analyze the SARS-CoV-2 coronavirus genome, treating the genome like bytecode and proteins like functions. It serves primarily as an educational exploration of the virus from first principles.

## Use cases
- understand the SARS-CoV-2 genome from first principles
- learn how reverse engineering concepts map to biology
- analyze coronavirus genome sequences in Python
- study protein structure prediction basics
- explore bioinformatics through a software analogy

## When to choose
- you want a hands-on, code-first introduction to genomics and the coronavirus
- you already know reverse engineering and want to learn biology by analogy
- you want a small readable codebase to study rather than a production tool

## When to avoid
- you need a production-grade bioinformatics pipeline or validated scientific results
- you need a maintained, licensed library for genome analysis
- you need rigorous, peer-reviewed protein structure prediction tools

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: reverse-engineering, parser, data-science
- domain: bioinformatics, education
- platform: python, cross-platform
- tags: covid-19, sars-cov-2, genomics, bioinformatics-analysis, educational-notebook, natural-language-processing

## Member repositories
- geohot/corona (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:57.685851+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:26:09.651413+00:00, confidence not recorded.
  - readme: https://github.com/geohot/corona (fetched 2026-08-28T04:06:57.685851+00:00, sha fcc3c8b002d2)
- Data as of 2026-08-30T08:39:29.467469+00:00.