--- title: "promptext vs gpt_academic" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/1broseidon-promptext-vs-binary-husky-gpt-academic" tools: ["1broseidon-promptext", "binary-husky-gpt-academic"] --- # promptext vs gpt_academic *GraphCanon updated Jul 11, 2026* ## Verdict Pick promptext when promptext is primarily Go; gpt_academic is Python; pick gpt_academic when gpt_academic is primarily Python; promptext is Go. [promptext](https://chain.sh/promptext) reports 22 GitHub stars, 1 forks, and 0 open issues, last pushed Apr 12, 2026. [gpt_academic](https://github.com/binary-husky/gpt_academic/wiki/online) has 71k stars, 8.3k forks, and 329 open issues, last pushed Jan 25, 2026. Figures are from public GitHub metadata via [promptext's repository](https://github.com/1broseidon/promptext) and [gpt_academic's repository](https://github.com/binary-husky/gpt_academic). | | [promptext](/tools/1broseidon-promptext.md) | [gpt_academic](/tools/binary-husky-gpt-academic.md) | | --- | --- | --- | | Tagline | Smart code context extractor for AI assistants | 提供实用化交互接口，优化论文阅读/润色/写作体验 | | Stars | 22 | 71,056 | | Forks | 1 | 8,350 | | Open issues | 0 | 329 | | Language | Go | 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 | MIT | 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, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptext](/tools/1broseidon-promptext.md) | [gpt_academic](/tools/binary-husky-gpt-academic.md) | | --- | --- | --- | | Days since push | 90d | 166d | | Open issues (now) | 0 | 329 | | Security scan | 1 low (1 low) | No lockfile | | Full report | [trust report](/tools/1broseidon-promptext/trust.md) | [trust report](/tools/binary-husky-gpt-academic/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 promptext if… - promptext is primarily Go; gpt_academic is Python. - License: promptext is MIT, gpt_academic is GPL-3.0. - Tags unique to promptext: code-context, ai, claude, code2prompt. ### Choose gpt_academic if… - gpt_academic is primarily Python; promptext is Go. - License: gpt_academic is GPL-3.0, promptext 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 promptext - Last GitHub push was 90 days ago (slowing maintenance, Apr 12, 2026). Validate activity before betting a new project on promptext. - 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. ## 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 ## Common questions ### What is the difference between promptext and gpt_academic? promptext: Smart code context extractor for AI assistants. 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 promptext over gpt_academic? Choose promptext over gpt_academic when promptext is primarily Go; gpt_academic is Python; License: promptext is MIT, gpt_academic is GPL-3.0; Tags unique to promptext: code-context, ai, claude, code2prompt. ### When should I choose gpt_academic over promptext? Choose gpt_academic over promptext when gpt_academic is primarily Python; promptext is Go; License: gpt_academic is GPL-3.0, promptext 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 avoid promptext? Last GitHub push was 90 days ago (slowing maintenance, Apr 12, 2026). Validate activity before betting a new project on promptext. 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. ### 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 promptext or gpt_academic more popular on GitHub? gpt_academic has more GitHub stars (71,056 vs 22). Stars measure visibility, not whether either tool fits your constraints. ### Are promptext and gpt_academic open source? Yes - both are open-source projects on GitHub (promptext: MIT, gpt_academic: GPL-3.0). ### Where can I find alternatives to promptext or gpt_academic? GraphCanon lists graph-backed alternatives at [promptext alternatives](/tools/1broseidon-promptext/alternatives) and [gpt_academic alternatives](/tools/binary-husky-gpt-academic/alternatives) ([promptext markdown twin](/tools/1broseidon-promptext/alternatives.md), [gpt_academic markdown twin](/tools/binary-husky-gpt-academic/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/1broseidon-promptext-vs-binary-husky-gpt-academic.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, promptext or gpt_academic? promptext: Slowing. 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 promptext and gpt_academic? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptext trust report](/tools/1broseidon-promptext/trust); [gpt_academic trust report](/tools/binary-husky-gpt-academic/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=1broseidon-promptext`](/api/graphcanon/graph?tool=1broseidon-promptext) - 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/_