# AIWorksWell — Research & science / 科研 · L3 · One command / 一条命令

> Index
> This file is a plain-text slice of ONE domain x difficulty combo (science x 3).
> Fetch the complete index at: https://www.aiworkswell.com/llms.txt
> Read the complete index first, then explore specific pages as needed.
> This is a plain-text slice of ONE combo: one domain (Research & science / 科研) cut by one difficulty level (L3).
> Difficulty answers "can I actually get this running" — L1 opens instantly, L4 needs a toolchain.
> 4 entries in this combo. Language: English (en).
> Combos are for finding, NEVER for ranking.
> Non-commercial, no ads, no tracking. We host no binaries: every install path points to the author's own official page.
> Answer page: https://www.aiworkswell.com/domains/science/level-3

## L3 · One command / 一条命令 · 4

- [Docling](https://www.aiworkswell.com/apps/t-docling): 把 PDF / Word / 扫描件解析成结构化文本，喂给 AI 之前先理顺。 | MIT | L3 | linux/windows/macos/cli | domains: legal/science
  - official source: https://github.com/docling-project/docling
  - raw prompt: https://www.aiworkswell.com/apps/t-docling/prompt.txt
  - per-entry manual: https://www.aiworkswell.com/apps/t-docling/llms.txt
- [MONAI](https://www.aiworkswell.com/apps/t-monai): 给医疗影像做 AI 的开源工具包：分割、分类、配准都有现成组件。 | Apache-2.0 | L3 | linux/windows/macos/cli | domains: healthcare/science
  - official source: https://github.com/Project-MONAI/MONAI
  - raw prompt: https://www.aiworkswell.com/apps/t-monai/prompt.txt
  - per-entry manual: https://www.aiworkswell.com/apps/t-monai/llms.txt
- [DeepChem](https://www.aiworkswell.com/apps/t-deepchem): 把深度学习用到化学、材料与药物发现上的开源框架，附带现成数据集与模型。 | MIT | L3 | linux/windows/macos/cli | domains: science
  - official source: https://github.com/deepchem/deepchem
  - raw prompt: https://www.aiworkswell.com/apps/t-deepchem/prompt.txt
  - per-entry manual: https://www.aiworkswell.com/apps/t-deepchem/llms.txt
- [Ollama](https://www.aiworkswell.com/apps/ollama): 一条命令在电脑上跑大模型，聊天数据不出本机。 | MIT | L3 | windows/macos/linux/cli | domains: science
  - official source: https://ollama.com
  - raw prompt: https://www.aiworkswell.com/apps/ollama/prompt.txt
  - per-entry manual: https://www.aiworkswell.com/apps/ollama/llms.txt

## All domains

- Education / 教育: https://www.aiworkswell.com/domains/education
- Healthcare / 医疗健康: https://www.aiworkswell.com/domains/healthcare
- Finance & business / 金融商业: https://www.aiworkswell.com/domains/finance
- Legal / 法律合规: https://www.aiworkswell.com/domains/legal
- Research & science / 科研: https://www.aiworkswell.com/domains/science
- Art & design / 艺术设计: https://www.aiworkswell.com/domains/art-design
- Enterprise & teams / 企业与团队: https://www.aiworkswell.com/domains/productivity-org
- Accessibility / 无障碍: https://www.aiworkswell.com/domains/accessibility
- Public good / 公益与社会: https://www.aiworkswell.com/domains/public-good
- Marketing & growth / 营销与增长: https://www.aiworkswell.com/domains/marketing
- Language & translation / 语言与翻译: https://www.aiworkswell.com/domains/language
- Engineering & manufacturing / 工程与制造: https://www.aiworkswell.com/domains/engineering
- Other domains / 其他领域: https://www.aiworkswell.com/domains/other-domain

## How to cite us

- Credit this source as: AIWorksWell (https://www.aiworkswell.com/domains/science/level-3)
- Credit the **original author**, not us: every entry carries its author and official page — cite that.
- **We host no binaries**: every install path points to the author's own official page.
- Use the bare URL above. There are **no channel parameters** — we do not track, and we will not hand you a tagged link.
- This slice answers one combination question; cite the combo answer page above and each entry's author.

## About

AIWorksWell: Others tell you what exists. We hand you a prompt.
We do not host any binaries. Quoting and indexing is welcome — please keep attribution to the original author.