# ai4s-research/awesome-ai-for-science

A curated list of awesome AI tools, libraries, papers, datasets, and frameworks that accelerate scientific discovery — from physics and chemistry to biology, materials, and beyond.

Repository: https://github.com/ai4s-research/awesome-ai-for-science
Canonical: https://ross.abutalabs.com/products/awesome-ai-for-science
Homepage: https://github.com/ai-boost/awesome-ai-for-science
License: MIT
License Family: permissive
Topics: ai-for-science, ai4s, ai4science, awesome, awesome-list, bioinformatics, scientific-ai
Last push: 2026-08-26T08:50:24+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 23
- inputs: {"age_days": 333, "days_push": 7, "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 1912, forks 227 (observed 2026-08-28T04:05:53.280236+00:00)

## What it is
A curated awesome-list of AI tools, libraries, papers, datasets, and frameworks for accelerating scientific discovery across physics, chemistry, biology, materials, and other disciplines. It organizes resources by research workflow stages such as paper-to-code, knowledge extraction, research agents, and scientific machine learning.

## Use cases
- find AI tools for scientific research
- discover machine learning resources for drug discovery
- locate datasets for materials science AI
- find papers on AI for science
- research agents for automating scientific workflows
- tools for converting papers to code
- AI resources for bioinformatics and chemistry

## When to choose
- you want a broad, curated index of AI-for-science resources across many disciplines
- you are exploring which tools, datasets, or papers exist for a research area
- you need starting points for research automation or scientific ML

## When to avoid
- you need a ready-to-use software tool rather than a list of links
- you need maintained, production-grade code with support
- you need deep coverage of a single niche domain

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, machine-learning, data-science
- domain: artificial-intelligence, machine-learning, data-science, bioinformatics, awesome-lists, education
- platform: cross-platform
- tags: awesome-list, ai-for-science, curated-resources, scientific-discovery, research-tools, papers, datasets

## Member repositories
- ai4s-research/awesome-ai-for-science (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:53.280236+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 2026-08-30T03:10:38.227556+00:00, confidence not recorded.
  - readme: https://github.com/ai4s-research/awesome-ai-for-science (fetched 2026-08-28T04:05:53.280236+00:00, sha f379fbed24c3)
  - homepage: https://github.com/ai-boost/awesome-ai-for-science (fetched 2026-08-29T10:50:10.881599+00:00, sha b2697212b95a)
- Data as of 2026-08-30T08:39:29.467469+00:00.