Home/Compare/gpt_academic vs paper-qa

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

gpt_academic logo

gpt_academic

binary-husky/gpt_academic

71kpushed Jan 25, 2026
vs
paper-qa logo

paper-qa

Future-House/paper-qa

9.0kpushed Aug 12, 2026

Trust & integrity

Signalgpt_academicpaper-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

gpt_academic alternative paper-qaBoth PaperQA2 and gpt_academic are specialized for handling academic content, enabling enhanced interactions with scientific documents through RAG.

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 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.

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