Comparison
awesome-ai-apps vs gpt_academic
Verdict
Pick awesome-ai-apps when license: awesome-ai-apps is MIT, gpt_academic is GPL-3.0; pick gpt_academic when license: gpt_academic is GPL-3.0, awesome-ai-apps is MIT.
Markdown twin · awesome-ai-apps alternatives · gpt_academic alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome-ai-apps | gpt_academic |
|---|---|---|
| Maintenance | Active (12d since push) As of today · github_public_v1 | Slowing (166d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of 1d · none |
Tagline
- awesome-ai-apps
- A collection of projects showcasing RAG, agents, workflows, and other AI use cases
- gpt_academic
- 提供实用化交互接口，优化论文阅读/润色/写作体验
Stars
- awesome-ai-apps
- 13k
- gpt_academic
- 71k
Forks
- awesome-ai-apps
- 1.7k
- gpt_academic
- 8.3k
Open issues
- awesome-ai-apps
- 79
- gpt_academic
- 329
Language
- awesome-ai-apps
- Python
- gpt_academic
- Python
Adopt for
- awesome-ai-apps
- -
- gpt_academic
- 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
- awesome-ai-apps
- -
- gpt_academic
- -
Runtime
- awesome-ai-apps
- -
- gpt_academic
- -
License
- awesome-ai-apps
- MIT
- gpt_academic
- 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
Last pushed
- awesome-ai-apps
- Jun 28, 2026
- gpt_academic
- Jan 25, 2026
Categories
- awesome-ai-apps
- AI Agents, Developer Tools, LLM Frameworks
- gpt_academic
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- awesome-ai-apps
- Active (82%)
- gpt_academic
- Slowing (36%)
Days since push
- awesome-ai-apps
- 12d
- gpt_academic
- 166d
Open issues (now)
- awesome-ai-apps
- 79
- gpt_academic
- 329
Security scan
- awesome-ai-apps
- No MCP manifest
- gpt_academic
- No lockfile
Full report
- awesome-ai-apps
- Trust report
- gpt_academic
- Trust report
Choose awesome-ai-apps if…
- License: awesome-ai-apps is MIT, gpt_academic is GPL-3.0.
- Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, llm.
- Also covers AI Agents.
When NOT to use awesome-ai-apps
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- 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.
Choose gpt_academic if…
- License: gpt_academic is GPL-3.0, awesome-ai-apps is MIT.
- 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 NOT to use gpt_academic
- 主要任务不是围绕论文和学术资料处理时, 特别是不涉及到大语言模型的实际应用情况
- 不需要自定义快捷按钮与高级功能插件，且对通用的大语言模型交互界面已经满意
- 侧重于文本创作以外的开发流程优化（例如：性能调优或低层级编程实现）
- 只需要基本的数据翻译或总结工具，无需连接多个大语言模型来提升任务效率
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Arindam200/awesome-ai-apps) · observed Jul 11, 2026
- GitHub forks (Arindam200/awesome-ai-apps) · observed Jul 11, 2026
- Last push (Arindam200/awesome-ai-apps) · observed Jun 28, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (binary-husky/gpt_academic) · observed Jul 11, 2026
- GitHub forks (binary-husky/gpt_academic) · observed Jul 11, 2026
- Last push (binary-husky/gpt_academic) · observed Jan 25, 2026
- License file (GPL-3.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-ai-apps 13k · gpt_academic 71k (synced Jul 11, 2026).
Common questions
- What is the difference between awesome-ai-apps and gpt_academic?
- awesome-ai-apps: A collection of projects showcasing RAG, agents, workflows, and other AI use cases. gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-ai-apps over gpt_academic?
- Choose awesome-ai-apps over gpt_academic when License: awesome-ai-apps is MIT, gpt_academic is GPL-3.0; Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, llm; Also covers AI Agents.
- When should I choose gpt_academic over awesome-ai-apps?
- Choose gpt_academic over awesome-ai-apps when License: gpt_academic is GPL-3.0, awesome-ai-apps is MIT; 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 avoid awesome-ai-apps?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 gpt_academic?
- 主要任务不是围绕论文和学术资料处理时, 特别是不涉及到大语言模型的实际应用情况 不需要自定义快捷按钮与高级功能插件，且对通用的大语言模型交互界面已经满意 侧重于文本创作以外的开发流程优化（例如：性能调优或低层级编程实现） 只需要基本的数据翻译或总结工具，无需连接多个大语言模型来提升任务效率
- Is awesome-ai-apps or gpt_academic more popular on GitHub?
- gpt_academic has more GitHub stars (71,056 vs 13,064). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-apps and gpt_academic open source?
- Yes - both are open-source projects on GitHub (awesome-ai-apps: MIT, gpt_academic: GPL-3.0).
- Where can I find alternatives to awesome-ai-apps or gpt_academic?
- GraphCanon lists graph-backed alternatives at awesome-ai-apps alternatives and gpt_academic alternatives (awesome-ai-apps markdown twin, gpt_academic markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, awesome-ai-apps or gpt_academic?
- awesome-ai-apps: Active. gpt_academic: Slowing. 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 awesome-ai-apps and gpt_academic?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-apps trust report; gpt_academic trust report.