Comparison
gpt_academic vs Auto-claude-code-research-in-sleep
Verdict
Pick gpt_academic when license: gpt_academic is GPL-3.0, Auto-claude-code-research-in-sleep is MIT; pick Auto-claude-code-research-in-sleep when license: Auto-claude-code-research-in-sleep is MIT, gpt_academic is GPL-3.0.
Markdown twin · gpt_academic alternatives · Auto-claude-code-research-in-sleep alternatives
GraphCanon updated today
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Auto-claude-code-research-in-sleep
wanshuiyin/Auto-claude-code-research-in-sleep
★ 13kpushed Jul 11, 2026
Trust & integrity
| Signal | gpt_academic | Auto-claude-code-research-in-sleep |
|---|---|---|
| Maintenance | Slowing (166d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No MCP manifest As of today · mcp_manifest |
Tagline
- gpt_academic
- 提供实用化交互接口，优化论文阅读/润色/写作体验
- Auto-claude-code-research-in-sleep
- ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works wi
Stars
- gpt_academic
- 71k
- Auto-claude-code-research-in-sleep
- 13k
Forks
- gpt_academic
- 8.3k
- Auto-claude-code-research-in-sleep
- 1.2k
Open issues
- gpt_academic
- 329
- Auto-claude-code-research-in-sleep
- 53
Language
- gpt_academic
- Python
- Auto-claude-code-research-in-sleep
- Python
Adopt for
- 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。
- Auto-claude-code-research-in-sleep
- -
Persona
- gpt_academic
- -
- Auto-claude-code-research-in-sleep
- -
Runtime
- gpt_academic
- -
- Auto-claude-code-research-in-sleep
- -
License
- 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
- Auto-claude-code-research-in-sleep
- MIT
Last pushed
- gpt_academic
- Jan 25, 2026
- Auto-claude-code-research-in-sleep
- Jul 11, 2026
Categories
- gpt_academic
- LLM Frameworks, Developer Tools
- Auto-claude-code-research-in-sleep
- AI Agents, LLM Frameworks, Developer Tools
Trust and health
Maintenance
- gpt_academic
- Slowing (36%)
- Auto-claude-code-research-in-sleep
- Very active (96%)
Days since push
- gpt_academic
- 166d
- Auto-claude-code-research-in-sleep
- 0d
Open issues (now)
- gpt_academic
- 329
- Auto-claude-code-research-in-sleep
- 53
Security scan
- gpt_academic
- No lockfile
- Auto-claude-code-research-in-sleep
- No MCP manifest
Full report
- gpt_academic
- Trust report
- Auto-claude-code-research-in-sleep
- Trust report
Choose gpt_academic if…
- License: gpt_academic is GPL-3.0, Auto-claude-code-research-in-sleep is MIT.
- Requirements: Min 8 GB RAM; 依赖Python环境.
- Tags unique to gpt_academic: large-language-models, academic, chatglm-6b, 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
Choose Auto-claude-code-research-in-sleep if…
- License: Auto-claude-code-research-in-sleep is MIT, gpt_academic is GPL-3.0.
- Tags unique to Auto-claude-code-research-in-sleep: claude-code-skills, aris, autonomous-agent, ai-research.
- Also covers AI Agents.
When NOT to use Auto-claude-code-research-in-sleep
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (wanshuiyin/Auto-claude-code-research-in-sleep) · observed Jul 11, 2026
- GitHub forks (wanshuiyin/Auto-claude-code-research-in-sleep) · observed Jul 11, 2026
- Last push (wanshuiyin/Auto-claude-code-research-in-sleep) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gpt_academic 71k · Auto-claude-code-research-in-sleep 13k (synced Jul 11, 2026).
Common questions
- What is the difference between gpt_academic and Auto-claude-code-research-in-sleep?
- gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. Auto-claude-code-research-in-sleep: ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works wi. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt_academic over Auto-claude-code-research-in-sleep?
- Choose gpt_academic over Auto-claude-code-research-in-sleep when License: gpt_academic is GPL-3.0, Auto-claude-code-research-in-sleep is MIT; Requirements: Min 8 GB RAM; 依赖Python环境; Tags unique to gpt_academic: large-language-models, academic, chatglm-6b, 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 Auto-claude-code-research-in-sleep over gpt_academic?
- Choose Auto-claude-code-research-in-sleep over gpt_academic when License: Auto-claude-code-research-in-sleep is MIT, gpt_academic is GPL-3.0; Tags unique to Auto-claude-code-research-in-sleep: claude-code-skills, aris, autonomous-agent, ai-research; Also covers AI Agents.
- 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
- When should I avoid Auto-claude-code-research-in-sleep?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is gpt_academic or Auto-claude-code-research-in-sleep more popular on GitHub?
- gpt_academic has more GitHub stars (71,056 vs 13,264). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt_academic and Auto-claude-code-research-in-sleep open source?
- Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, Auto-claude-code-research-in-sleep: MIT).
- Where can I find alternatives to gpt_academic or Auto-claude-code-research-in-sleep?
- GraphCanon lists graph-backed alternatives at gpt_academic alternatives and Auto-claude-code-research-in-sleep alternatives (gpt_academic markdown twin, Auto-claude-code-research-in-sleep 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, gpt_academic or Auto-claude-code-research-in-sleep?
- gpt_academic: Slowing. Auto-claude-code-research-in-sleep: 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 Auto-claude-code-research-in-sleep?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt_academic trust report; Auto-claude-code-research-in-sleep trust report.