---
title: "gpt_academic vs openmed"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/binary-husky-gpt-academic-vs-maziyarpanahi-openmed"
tools: ["binary-husky-gpt-academic", "maziyarpanahi-openmed"]
---

# gpt_academic vs openmed

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick gpt_academic when license: gpt_academic is GPL-3.0, openmed is Apache-2.0; pick openmed when license: openmed is Apache-2.0, gpt_academic is GPL-3.0.

[gpt_academic](https://github.com/binary-husky/gpt_academic/wiki/online) reports 71k GitHub stars, 8.3k forks, and 329 open issues, last pushed Jan 25, 2026. [openmed](https://openmed.life/) has 4.6k stars, 554 forks, and 567 open issues, last pushed Jul 15, 2026. Figures are from public GitHub metadata via [gpt_academic's repository](https://github.com/binary-husky/gpt_academic) and [openmed's repository](https://github.com/maziyarpanahi/openmed).

| | [gpt_academic](/tools/binary-husky-gpt-academic.md) | [openmed](/tools/maziyarpanahi-openmed.md) |
| --- | --- | --- |
| Tagline | 提供实用化交互接口，优化论文阅读/润色/写作体验 | Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 1,000+ medical models, 12 languages, Apple MLX + Python, no cloud, no patient data leaving your network. |
| Stars | 71,056 | 4,573 |
| Forks | 8,350 | 554 |
| Open issues | 329 | 567 |
| Language | Python | Python |
| Adopt for | gpt_academic专为增强与GPT/GLM等大语言模型的交互，优化论文写作、润色和阅读体验。它支持自定义模块、多种LLM接入，并且拥有PDF/LaTeX文档处理功能。 | - |
| Persona | - | - |
| Runtime | - | - |
| License | 使用GPL-3.0许可证，这意味着你可以自由地运行、学习、分享和修改这个软件，但是如果你在分发含gpt_academic的程序时，你必须公开整个程序源代码且采用同为GPL许可证 | Apache-2.0 |
| Categories | Developer Tools, LLM Frameworks | Computer Vision, Developer Tools, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [gpt_academic](/tools/binary-husky-gpt-academic.md) | [openmed](/tools/maziyarpanahi-openmed.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Very active (96%) |
| Days since push | 166d | 0d |
| Open issues (now) | 329 | 567 |
| Full report | [trust report](/tools/binary-husky-gpt-academic/trust.md) | [trust report](/tools/maziyarpanahi-openmed/trust.md) |

## Decision facts: gpt_academic

- **Pricing:** freemium
- **Requirements:** Min 8 GB RAM; 依赖Python环境
- **Adopt for:** gpt_academic专为增强与GPT/GLM等大语言模型的交互，优化论文写作、润色和阅读体验。它支持自定义模块、多种LLM接入，并且拥有PDF/LaTeX文档处理功能。
- **License detail:** 使用GPL-3.0许可证，这意味着你可以自由地运行、学习、分享和修改这个软件，但是如果你在分发含gpt_academic的程序时，你必须公开整个程序源代码且采用同为GPL许可证

## Choose when

### Choose gpt_academic if…

- License: gpt_academic is GPL-3.0, openmed is Apache-2.0.
- Requirements: Min 8 GB RAM; 依赖Python环境.
- Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4.
- gpt_academic ships Docker support for self-hosted deployment.
- 需要使用GPT或GLM大语言模型进行高效的学术论文相关任务时

### Choose openmed if…

- License: openmed is Apache-2.0, gpt_academic is GPL-3.0.
- Tags unique to openmed: clinical-nlp, healthcare, hipaa, ios.
- Also covers Computer Vision.

## When NOT to use gpt_academic

- Last GitHub push was 171 days ago (slowing maintenance, Jan 25, 2026). Validate activity before betting a new project on gpt_academic.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use openmed

- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## Common questions

### What is the difference between gpt_academic and openmed?

gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. openmed: Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 1,000+ medical models, 12 languages, Apple MLX + Python, no cloud, no patient data leaving your network.. See the comparison table for live GitHub stats and shared categories.

### When should I choose gpt_academic over openmed?

Choose gpt_academic over openmed when License: gpt_academic is GPL-3.0, openmed is Apache-2.0; Requirements: Min 8 GB RAM; 依赖Python环境; Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4; gpt_academic ships Docker support for self-hosted deployment; 需要使用GPT或GLM大语言模型进行高效的学术论文相关任务时.

### When should I choose openmed over gpt_academic?

Choose openmed over gpt_academic when License: openmed is Apache-2.0, gpt_academic is GPL-3.0; Tags unique to openmed: clinical-nlp, healthcare, hipaa, ios; Also covers Computer Vision.

### When should I avoid gpt_academic?

Last GitHub push was 171 days ago (slowing maintenance, Jan 25, 2026). Validate activity before betting a new project on gpt_academic. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid openmed?

Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### Is gpt_academic or openmed more popular on GitHub?

gpt_academic has more GitHub stars (71,056 vs 4,573). Stars measure visibility, not whether either tool fits your constraints.

### Are gpt_academic and openmed open source?

Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, openmed: Apache-2.0).

### Where can I find alternatives to gpt_academic or openmed?

GraphCanon lists graph-backed alternatives at [gpt_academic alternatives](/tools/binary-husky-gpt-academic/alternatives) and [openmed alternatives](/tools/maziyarpanahi-openmed/alternatives) ([gpt_academic markdown twin](/tools/binary-husky-gpt-academic/alternatives.md), [openmed markdown twin](/tools/maziyarpanahi-openmed/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/binary-husky-gpt-academic-vs-maziyarpanahi-openmed.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, gpt_academic or openmed?

gpt_academic: Slowing. openmed: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for gpt_academic and openmed?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpt_academic trust report](/tools/binary-husky-gpt-academic/trust); [openmed trust report](/tools/maziyarpanahi-openmed/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=binary-husky-gpt-academic`](/api/graphcanon/graph?tool=binary-husky-gpt-academic)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
