Comparison
gpt_academic vs qa_metrics
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.
Markdown twin · gpt_academic alternatives · qa_metrics alternatives
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Trust & integrity
| Signal | gpt_academic | qa_metrics |
|---|---|---|
| Maintenance | Slowing (166d since push) As of 4d · github_public_v1 | Slowing (361d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- gpt_academic
- 71k
- qa_metrics
- 61
Forks
- gpt_academic
- 8.3k
- qa_metrics
- 6
Open issues
- gpt_academic
- 329
- qa_metrics
- 0
Language
- gpt_academic
- Python
- qa_metrics
- 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。
- qa_metrics
- -
Persona
- gpt_academic
- -
- qa_metrics
- -
Runtime
- gpt_academic
- -
- qa_metrics
- -
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
- qa_metrics
- MIT
Last pushed
- gpt_academic
- Jan 25, 2026
- qa_metrics
- Jul 18, 2025
Categories
- gpt_academic
- Developer Tools, LLM Frameworks
- qa_metrics
- Developer Tools, LLM Frameworks, Model Training
Trust and health
Days since push
- gpt_academic
- 166d
- qa_metrics
- 361d
Open issues (now)
- gpt_academic
- 329
- qa_metrics
- 0
Full report
- gpt_academic
- Trust report
- qa_metrics
- Trust report
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
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.
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 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.
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 (zli12321/qa_metrics) · observed Jul 15, 2026
- GitHub forks (zli12321/qa_metrics) · observed Jul 15, 2026
- Last push (zli12321/qa_metrics) · observed Jul 18, 2025
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: gpt_academic 71k · qa_metrics 61 (synced Jul 11, 2026).
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 and qa_metrics alternatives (gpt_academic markdown twin, qa_metrics 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 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; qa_metrics trust report.