# PharMolix/OpenBioMed

Repository: https://github.com/PharMolix/OpenBioMed
Canonical: https://ross.abutalabs.com/products/openbiomed
Language: Python
License: MIT
License Family: permissive
Last push: 2026-07-22T09:05:56+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 93, release rhythm 35, longevity 88
- inputs: {"age_days": 1238, "days_push": 42, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1103, forks 132 (observed 2026-08-28T04:03:36.121144+00:00)

## What it is
OpenBioMed is an open-source toolkit and agent platform for biomedicine and life science, offering multimodal models like BioMedGPT-Mol, 45 Claude Code skills, and tools for drug discovery, protein engineering, and single-cell omics analysis. It is developed by PharMolix and Tsinghua's AIR institute and released under the MIT license.

## Use cases
- run AI models for drug discovery
- design functional proteins de novo
- analyze single-cell omics data
- build biomedical LLM agents
- molecular property prediction and generation
- use Claude Code skills for biomedical research

## When to choose
- you need an open-source toolkit spanning drug discovery, protein analysis, and omics
- you want pretrained biomedical multimodal models like BioMedGPT-Mol
- you want LLM-agent skills for end-to-end biomedical research workflows

## When to avoid
- you need a general-purpose machine learning framework unrelated to biology
- you require clinical-grade validated software for patient care
- you work outside Python-based research environments

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, llm-inference, agent-framework, data-science
- domain: bioinformatics, healthcare, artificial-intelligence, large-language-models
- platform: python, cross-platform
- tags: drug-discovery, molecular-modeling, protein-design, single-cell-omics, biomedgpt, biomedical-ai, claude-code-skills, ai-agents, docker, linux

## Member repositories
- PharMolix/OpenBioMed (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:36.121144+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 2026-08-30T06:45:31.454804+00:00, confidence not recorded.
  - readme: https://github.com/PharMolix/OpenBioMed (fetched 2026-08-28T04:03:36.121144+00:00, sha e6063a0c1c79)
- Data as of 2026-08-30T08:39:29.467469+00:00.