--- title: "gpt_academic vs qa_metrics" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/binary-husky-gpt-academic-vs-zli12321-qa-metrics" tools: ["binary-husky-gpt-academic", "zli12321-qa-metrics"] --- # gpt_academic vs qa_metrics *GraphCanon updated Jul 15, 2026* ## Verdict Pick gpt_academic when license: gpt_academic is GPL-3.0, qa_metrics is MIT; pick qa_metrics when license: qa_metrics is MIT, gpt_academic is GPL-3.0. [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. [qa_metrics](https://github.com/zli12321/qa_metrics) has 61 stars, 6 forks, and 0 open issues, last pushed Jul 18, 2025. Figures are from public GitHub metadata via [gpt_academic's repository](https://github.com/binary-husky/gpt_academic) and [qa_metrics's repository](https://github.com/zli12321/qa_metrics). | | [gpt_academic](/tools/binary-husky-gpt-academic.md) | [qa_metrics](/tools/zli12321-qa-metrics.md) | | --- | --- | --- | | Tagline | 提供实用化交互接口，优化论文阅读/润色/写作体验 | An easy python package to run quick basic QA evaluations. This package includes standardized QA evaluation metrics and semantic evaluation metrics: Black-box and Open-Source large language model promp | | Stars | 71,056 | 61 | | Forks | 8,350 | 6 | | Open issues | 329 | 0 | | Language | Python | 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 | 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 | MIT | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gpt_academic](/tools/binary-husky-gpt-academic.md) | [qa_metrics](/tools/zli12321-qa-metrics.md) | | --- | --- | --- | | Days since push | 166d | 361d | | Open issues (now) | 329 | 0 | | Full report | [trust report](/tools/binary-husky-gpt-academic/trust.md) | [trust report](/tools/zli12321-qa-metrics/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 gpt_academic if… - License: gpt_academic is GPL-3.0, qa_metrics 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 ### Choose qa_metrics if… - License: qa_metrics is MIT, gpt_academic is GPL-3.0. - Tags unique to qa_metrics: exact-matching, llm, llm-evaluation, llm-evaluation-framework. - Also covers Model Training. ## When NOT to use gpt_academic - Last GitHub push was 171 days ago (slowing maintenance, Jan 25, 2026). Validate activity before betting a new project on gpt_academic. - 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 NOT to use qa_metrics - Last GitHub push was 361 days ago (slowing maintenance, Jul 18, 2025). Validate activity before betting a new project on qa_metrics. - 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. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between gpt_academic and qa_metrics? gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. qa_metrics: An easy python package to run quick basic QA evaluations. This package includes standardized QA evaluation metrics and semantic evaluation metrics: Black-box and Open-Source large language model promp. See the comparison table for live GitHub stats and shared categories. ### When should I choose gpt_academic over qa_metrics? Choose gpt_academic over qa_metrics when License: gpt_academic is GPL-3.0, qa_metrics 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 choose qa_metrics over gpt_academic? Choose qa_metrics over gpt_academic when License: qa_metrics is MIT, gpt_academic is GPL-3.0; Tags unique to qa_metrics: exact-matching, llm, llm-evaluation, llm-evaluation-framework; Also covers Model Training. ### When should I avoid gpt_academic? Last GitHub push was 171 days ago (slowing maintenance, Jan 25, 2026). Validate activity before betting a new project on gpt_academic. 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 qa_metrics? Last GitHub push was 361 days ago (slowing maintenance, Jul 18, 2025). Validate activity before betting a new project on qa_metrics. 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. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is gpt_academic or qa_metrics more popular on GitHub? gpt_academic has more GitHub stars (71,056 vs 61). Stars measure visibility, not whether either tool fits your constraints. ### Are gpt_academic and qa_metrics open source? Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, qa_metrics: MIT). ### Where can I find alternatives to gpt_academic or qa_metrics? GraphCanon lists graph-backed alternatives at [gpt_academic alternatives](/tools/binary-husky-gpt-academic/alternatives) and [qa_metrics alternatives](/tools/zli12321-qa-metrics/alternatives) ([gpt_academic markdown twin](/tools/binary-husky-gpt-academic/alternatives.md), [qa_metrics markdown twin](/tools/zli12321-qa-metrics/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-zli12321-qa-metrics.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gpt_academic or qa_metrics? gpt_academic: Slowing. qa_metrics: 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 gpt_academic and qa_metrics? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpt_academic trust report](/tools/binary-husky-gpt-academic/trust); [qa_metrics trust report](/tools/zli12321-qa-metrics/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/_