--- title: "gpt_academic vs Reading_groups" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/binary-husky-gpt-academic-vs-crazyofapple-reading-groups" tools: ["binary-husky-gpt-academic", "crazyofapple-reading-groups"] --- # gpt_academic vs Reading_groups *GraphCanon updated Jul 11, 2026* ## Verdict Pick gpt_academic if 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。; pick Reading_groups if 用于跟踪、整理和学习大规模语言模型相关的文章、课程材料和实验演示，适用于希望了解最新技术进展、优化策略、应用案例以及深度分析的研究者。. [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. [Reading_groups](https://github.com/crazyofapple/Reading_groups) has 202 stars, 7 forks, and 0 open issues, last pushed Aug 8, 2023. Figures are from public GitHub metadata via [gpt_academic's repository](https://github.com/binary-husky/gpt_academic) and [Reading_groups's repository](https://github.com/crazyofapple/Reading_groups). | | [gpt_academic](/tools/binary-husky-gpt-academic.md) | [Reading_groups](/tools/crazyofapple-reading-groups.md) | | --- | --- | --- | | Tagline | 提供实用化交互接口，优化论文阅读/润色/写作体验 | 资源整理和追踪大规模预训练语言模型相关文章 | | Stars | 71,056 | 202 | | Forks | 8,350 | 7 | | Open issues | 329 | 0 | | Language | 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。 | 用于跟踪、整理和学习大规模语言模型相关的文章、课程材料和实验演示，适用于希望了解最新技术进展、优化策略、应用案例以及深度分析的研究者。 | | 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 | - | | Categories | LLM Frameworks, Developer Tools | LLM Frameworks, Model Training, Evaluation & Observability, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gpt_academic](/tools/binary-husky-gpt-academic.md) | [Reading_groups](/tools/crazyofapple-reading-groups.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 166d | 1068d | | Open issues (now) | 329 | 0 | | Full report | [trust report](/tools/binary-husky-gpt-academic/trust.md) | [trust report](/tools/crazyofapple-reading-groups/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 ## Decision facts: Reading_groups - **Adopt for:** 用于跟踪、整理和学习大规模语言模型相关的文章、课程材料和实验演示，适用于希望了解最新技术进展、优化策略、应用案例以及深度分析的研究者。 ## Choose when ### Choose gpt_academic if… - Requirements: Min 8 GB RAM; 依赖Python环境. - Tags unique to gpt_academic: academic, chatglm-6b. - 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 Reading_groups if… - Tags unique to Reading_groups: gpt-3, llms, llm, nlp. - Also covers Model Training, Evaluation & Observability. - 您想深入理解特定的大规模预训练语言模型（如GPT-4）、其性能测试及其局限性时 ## 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 ## When NOT to use Reading_groups - 如果您主要关注软件层面的开发工具或特定框架的具体实现代码时。Reading_groups专注于论文资源和理论方向，而不是具体实现技巧 - 当您寻求快速入门基础NLP概念或者新手向教程支持时，该库更倾向于高级研究与前沿议题 - 需要深入对比分析S4等颠覆型架构细节，因为此仓库主要关注现有大规模预训练语言模型的演进步骤和技术迭代 ## Common questions ### What is the difference between gpt_academic and Reading_groups? gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. Reading_groups: 资源整理和追踪大规模预训练语言模型相关文章. See the comparison table for live GitHub stats and shared categories. ### When should I choose gpt_academic over Reading_groups? Choose gpt_academic over Reading_groups when Requirements: Min 8 GB RAM; 依赖Python环境; Tags unique to gpt_academic: academic, chatglm-6b; 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 Reading_groups over gpt_academic? Choose Reading_groups over gpt_academic when Tags unique to Reading_groups: gpt-3, llms, llm, nlp; Also covers Model Training, Evaluation & Observability; 您想深入理解特定的大规模预训练语言模型（如GPT-4）、其性能测试及其局限性时. ### 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 Reading_groups? 如果您主要关注软件层面的开发工具或特定框架的具体实现代码时。Reading_groups专注于论文资源和理论方向，而不是具体实现技巧 当您寻求快速入门基础NLP概念或者新手向教程支持时，该库更倾向于高级研究与前沿议题 需要深入对比分析S4等颠覆型架构细节，因为此仓库主要关注现有大规模预训练语言模型的演进步骤和技术迭代 ### Is gpt_academic or Reading_groups more popular on GitHub? gpt_academic has more GitHub stars (71,056 vs 202). Stars measure visibility, not whether either tool fits your constraints. ### Are gpt_academic and Reading_groups open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to gpt_academic or Reading_groups? GraphCanon lists graph-backed alternatives at [gpt_academic alternatives](/tools/binary-husky-gpt-academic/alternatives) and [Reading_groups alternatives](/tools/crazyofapple-reading-groups/alternatives) ([gpt_academic markdown twin](/tools/binary-husky-gpt-academic/alternatives.md), [Reading_groups markdown twin](/tools/crazyofapple-reading-groups/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-crazyofapple-reading-groups.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gpt_academic or Reading_groups? gpt_academic: Slowing. Reading_groups: Dormant. 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 Reading_groups? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpt_academic trust report](/tools/binary-husky-gpt-academic/trust); [Reading_groups trust report](/tools/crazyofapple-reading-groups/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/_