Comparison
gpt_academic vs paper-qa
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 paper-qa if paperQA2 version 5 is a retrieval-augmented generation (RAG) system optimized for extracting information from scientific documents, enhancing user queries with citations.
Markdown twin · gpt_academic alternatives · paper-qa alternatives
GraphCanon updated 3d
Trust & integrity
| Signal | gpt_academic | paper-qa |
|---|---|---|
| Maintenance | Slowing (203d since push) As of 4d · github_public_v1 | Very active (5d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4d · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- paper-qa
- High accuracy RAG for answering questions from scientific documents with citations
Stars
- gpt_academic
- 71k
- paper-qa
- 9.0k
Forks
- gpt_academic
- 8.3k
- paper-qa
- 907
Open issues
- gpt_academic
- 330
- paper-qa
- 141
Language
- gpt_academic
- Python
- paper-qa
- 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。
- paper-qa
- PaperQA2 version 5 is a retrieval-augmented generation (RAG) system optimized for extracting information from scientific documents, enhancing user queries with citations.
Persona
- gpt_academic
- -
- paper-qa
- -
Runtime
- gpt_academic
- -
- paper-qa
- -
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
- paper-qa
- 'Apache-2.0' - Permissive free software license that allows for both non-commercial use and commercial exploitation of the package.
Last pushed
- gpt_academic
- Jan 25, 2026
- paper-qa
- Aug 12, 2026
Categories
- gpt_academic
- Developer Tools, LLM Frameworks
- paper-qa
- Data & Retrieval, Model Training
Trust and health
Maintenance
- gpt_academic
- Slowing (36%)
- paper-qa
- Very active (96%)
Days since push
- gpt_academic
- 203d
- paper-qa
- 5d
Open issues (now)
- gpt_academic
- 330
- paper-qa
- 141
Stars delta
- gpt_academic
- +102 (30d)
- paper-qa
- +154 (30d)
Open issues delta
- gpt_academic
- +3 (30d)
- paper-qa
- 0 (30d)
Owner type
- gpt_academic
- User
- paper-qa
- Organization
Full report
- gpt_academic
- Trust report
- paper-qa
- Trust report
Typed relationship
Shared compatibility
- Python · gpt_academic: Python runtime · paper-qa: Python runtime
Choose gpt_academic if…
- License: gpt_academic is GPL-3.0, paper-qa is Apache-2.0.
- Requirements: Min 8 GB RAM; 依赖Python环境.
- Both PaperQA2 and gpt_academic are specialized for handling academic content, enabling enhanced interactions with scientific documents through RAG.
- Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4.
- Also covers Developer Tools, LLM Frameworks.
- 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 208 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 paper-qa if…
- License: paper-qa is Apache-2.0, gpt_academic is GPL-3.0.
- Requirements: Min 4 GB RAM.
- Both PaperQA2 and gpt_academic are specialized for handling academic content, enabling enhanced interactions with scientific documents through RAG.
- Tags unique to paper-qa: ai, rag, science, search.
- Also covers Data & Retrieval, Model Training.
- Your project specifically requires processing and querying scientific documents, as PaperQA2 offers specialized capabilities tuned for this domain.
When NOT to use paper-qa
- If your use case does not involve scientific document processing, another RAG system better suited to your specific type of documents (e.g., legal, medical) might be more fitting.
- In scenarios where real-time performance is critical and extensive indexing or access to external APIs for large-scale paper handling becomes a bottleneck.
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 Aug 17, 2026
- GitHub forks (binary-husky/gpt_academic) · observed Aug 17, 2026
- Last push (binary-husky/gpt_academic) · observed Jan 25, 2026
- License file (GPL-3.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Future-House/paper-qa) · observed Aug 18, 2026
- GitHub forks (Future-House/paper-qa) · observed Aug 18, 2026
- Last push (Future-House/paper-qa) · observed Aug 12, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gpt_academic 71k · paper-qa 9.0k (synced Aug 17, 2026).
Common questions
- What is the difference between gpt_academic and paper-qa?
- gpt_academic: 提供实用化交互接口,优化论文阅读/润色/写作体验. paper-qa: High accuracy RAG for answering questions from scientific documents with citations. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt_academic over paper-qa?
- Choose gpt_academic over paper-qa when License: gpt_academic is GPL-3.0, paper-qa is Apache-2.0; Requirements: Min 8 GB RAM; 依赖Python环境; Both PaperQA2 and gpt_academic are specialized for handling academic content, enabling enhanced interactions with scientific documents through RAG; Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4; Also covers Developer Tools, LLM Frameworks; 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 paper-qa over gpt_academic?
- Choose paper-qa over gpt_academic when License: paper-qa is Apache-2.0, gpt_academic is GPL-3.0; Requirements: Min 4 GB RAM; Both PaperQA2 and gpt_academic are specialized for handling academic content, enabling enhanced interactions with scientific documents through RAG; Tags unique to paper-qa: ai, rag, science, search; Also covers Data & Retrieval, Model Training; Your project specifically requires processing and querying scientific documents, as PaperQA2 offers specialized capabilities tuned for this domain.
- When should I avoid gpt_academic?
- Last GitHub push was 208 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 paper-qa?
- If your use case does not involve scientific document processing, another RAG system better suited to your specific type of documents (e.g., legal, medical) might be more fitting. In scenarios where real-time performance is critical and extensive indexing or access to external APIs for large-scale paper handling becomes a bottleneck.
- Is gpt_academic or paper-qa more popular on GitHub?
- gpt_academic has more GitHub stars (71,196 vs 9,048). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt_academic and paper-qa open source?
- Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, paper-qa: Apache-2.0).
- Where can I find alternatives to gpt_academic or paper-qa?
- GraphCanon lists graph-backed alternatives at gpt_academic alternatives and paper-qa alternatives (gpt_academic markdown twin, paper-qa 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 paper-qa?
- gpt_academic: Slowing. paper-qa: 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 paper-qa?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt_academic trust report; paper-qa trust report.