Comparison
gpt_academic vs AssetOpsBench
Verdict
Pick gpt_academic when license: gpt_academic is GPL-3.0, AssetOpsBench is Apache-2.0; pick AssetOpsBench when license: AssetOpsBench is Apache-2.0, gpt_academic is GPL-3.0.
Markdown twin · gpt_academic alternatives · AssetOpsBench alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | gpt_academic | AssetOpsBench |
|---|---|---|
| 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 · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- gpt_academic
- 提供实用化交互接口，优化论文阅读/润色/写作体验
- AssetOpsBench
- AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scena
Stars
- gpt_academic
- 71k
- AssetOpsBench
- 2.0k
Forks
- gpt_academic
- 8.3k
- AssetOpsBench
- 290
Open issues
- gpt_academic
- 329
- AssetOpsBench
- 51
Language
- gpt_academic
- Python
- AssetOpsBench
- 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。
- AssetOpsBench
- -
Persona
- gpt_academic
- -
- AssetOpsBench
- -
Runtime
- gpt_academic
- -
- AssetOpsBench
- -
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
- AssetOpsBench
- Apache-2.0
Last pushed
- gpt_academic
- Jan 25, 2026
- AssetOpsBench
- Jul 11, 2026
Categories
- gpt_academic
- LLM Frameworks, Developer Tools
- AssetOpsBench
- LLM Frameworks, AI Agents, Developer Tools
Trust and health
Maintenance
- gpt_academic
- Slowing (36%)
- AssetOpsBench
- Very active (96%)
Days since push
- gpt_academic
- 166d
- AssetOpsBench
- 0d
Open issues (now)
- gpt_academic
- 329
- AssetOpsBench
- 51
Owner type
- gpt_academic
- User
- AssetOpsBench
- Organization
Full report
- gpt_academic
- Trust report
- AssetOpsBench
- Trust report
Choose gpt_academic if…
- License: gpt_academic is GPL-3.0, AssetOpsBench is Apache-2.0.
- 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 AssetOpsBench if…
- License: AssetOpsBench is Apache-2.0, gpt_academic is GPL-3.0.
- Tags unique to AssetOpsBench: ai-for-physical-assets, condition-based-maintenance, model-context-protocol, iot.
- Also covers AI Agents.
When NOT to use AssetOpsBench
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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.
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 (IBM/AssetOpsBench) · observed Jul 11, 2026
- GitHub forks (IBM/AssetOpsBench) · observed Jul 11, 2026
- Last push (IBM/AssetOpsBench) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gpt_academic 71k · AssetOpsBench 2.0k (synced Jul 11, 2026).
Common questions
- What is the difference between gpt_academic and AssetOpsBench?
- gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. AssetOpsBench: AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scena. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt_academic over AssetOpsBench?
- Choose gpt_academic over AssetOpsBench when License: gpt_academic is GPL-3.0, AssetOpsBench is Apache-2.0; 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 AssetOpsBench over gpt_academic?
- Choose AssetOpsBench over gpt_academic when License: AssetOpsBench is Apache-2.0, gpt_academic is GPL-3.0; Tags unique to AssetOpsBench: ai-for-physical-assets, condition-based-maintenance, model-context-protocol, iot; 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 AssetOpsBench?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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.
- Is gpt_academic or AssetOpsBench more popular on GitHub?
- gpt_academic has more GitHub stars (71,056 vs 1,993). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt_academic and AssetOpsBench open source?
- Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, AssetOpsBench: Apache-2.0).
- Where can I find alternatives to gpt_academic or AssetOpsBench?
- GraphCanon lists graph-backed alternatives at gpt_academic alternatives and AssetOpsBench alternatives (gpt_academic markdown twin, AssetOpsBench 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 AssetOpsBench?
- gpt_academic: Slowing. AssetOpsBench: 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 AssetOpsBench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt_academic trust report; AssetOpsBench trust report.