Comparison
gpt_academic vs paper-qa
Verdict
Pick gpt_academic if gpt_academic is a modular interface for GPT and GLM LLMs, tailored for academic tasks such as paper translation, summarization, and writing assistance. It supports customization through plugins and buttons and can be set; 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 Sep 20, 2026
20views this month
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Trust & integrity
| Signal | gpt_academic | paper-qa |
|---|---|---|
| Maintenance | Slowing (235d since push) As of Sep 18, 2026 · github_public_v1 | Very active (5d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- Provides practical interaction interfaces for GPT/GLM LLMs, optimized for academic paper reading, polishing, and writing.
- 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
- 332
- paper-qa
- 141
Language
- gpt_academic
- Python
- paper-qa
- Python
Adopt for
- gpt_academic
- gpt_academic is a modular interface for GPT and GLM LLMs, tailored for academic tasks such as paper translation, summarization, and writing assistance. It supports customization through plugins and buttons and can be set
- 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
- GPL-3.0
- 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
- Inference & Serving, 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
- 235d
- paper-qa
- 5d
Open issues (now)
- gpt_academic
- 332
- paper-qa
- 141
Stars delta
- gpt_academic
- +165 (30d)
- paper-qa
- +154 (30d)
Open issues delta
- gpt_academic
- +2 (30d)
- paper-qa
- 0 (30d)
Owner type
- gpt_academic
- User
- paper-qa
- Organization
OSV dependency advisories
- gpt_academic
- Published findings
- paper-qa
- No lockfile (source not queried)
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: Requires Docker; Supports deployment via Docker, which can be configured for different use cases, including full project capabilities, online models only, or online models plus蔺.
- 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 Inference & Serving, LLM Frameworks.
- gpt_academic ships Docker support for self-hosted deployment.
- When you need a tool specifically optimized for academic tasks like paper translation, summarization, and writing assistance.
When NOT to use gpt_academic
- If your project does not involve academic tasks such as paper reading, polishing, or writing.
- When you need a solution that does not support customization through plugins and buttons or does not offer deployment via Docker or Python.
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 Sep 20, 2026
- GitHub forks (binary-husky/gpt_academic) · observed Sep 20, 2026
- Last push (binary-husky/gpt_academic) · observed Jan 25, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Future-House/paper-qa) · observed Sep 20, 2026
- GitHub forks (Future-House/paper-qa) · observed Sep 20, 2026
- Last push (Future-House/paper-qa) · observed Aug 12, 2026
- License file (Apache-2.0) · observed Sep 20, 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 Sep 20, 2026).
Common questions
- What is the difference between gpt_academic and paper-qa?
- gpt_academic: Provides practical interaction interfaces for GPT/GLM LLMs, optimized for academic paper reading, polishing, and writing.. 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: Requires Docker; Supports deployment via Docker, which can be configured for different use cases, including full project capabilities, online models only, or online models plus蔺; 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 Inference & Serving, LLM Frameworks; gpt_academic ships Docker support for self-hosted deployment; When you need a tool specifically optimized for academic tasks like paper translation, summarization, and writing assistance.
- 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?
- If your project does not involve academic tasks such as paper reading, polishing, or writing. When you need a solution that does not support customization through plugins and buttons or does not offer deployment via Docker or Python.
- 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 (71,361 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.