Comparison
gpt-researcher vs gpt_academic
Verdict
Pick gpt-researcher if gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill; 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。.
Markdown twin · gpt-researcher alternatives · gpt_academic alternatives
GraphCanon updated 2d
Trust & integrity
| Signal | gpt-researcher | gpt_academic |
|---|---|---|
| Maintenance | Active (21d since push) As of 1w · github_public_v1 | Slowing (203d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Personal account As of 2d · github_public_v1 |
| OSV dependency advisories | Published findings 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-researcher
- An autonomous agent that conducts deep research using LLM providers
- gpt_academic
- 提供实用化交互接口,优化论文阅读/润色/写作体验
Stars
- gpt-researcher
- 29k
- gpt_academic
- 71k
Forks
- gpt-researcher
- 3.9k
- gpt_academic
- 8.3k
Open issues
- gpt-researcher
- 192
- gpt_academic
- 330
Language
- gpt-researcher
- Python
- gpt_academic
- Python
Adopt for
- gpt-researcher
- gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill.
- 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。
Persona
- gpt-researcher
- -
- gpt_academic
- -
Runtime
- gpt-researcher
- -
- gpt_academic
- -
License
- gpt-researcher
- Apache-2.0
- 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
Last pushed
- gpt-researcher
- Jul 18, 2026
- gpt_academic
- Jan 25, 2026
Categories
- gpt-researcher
- AI Agents, Data & Retrieval
- gpt_academic
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- gpt-researcher
- Active (82%)
- gpt_academic
- Slowing (36%)
Days since push
- gpt-researcher
- 21d
- gpt_academic
- 203d
Open issues (now)
- gpt-researcher
- 192
- gpt_academic
- 330
Stars delta
- gpt-researcher
- +737 (30d)
- gpt_academic
- +102 (30d)
Open issues delta
- gpt-researcher
- -18 (30d)
- gpt_academic
- +3 (30d)
OSV dependency advisories
- gpt-researcher
- Published findings
- gpt_academic
- No lockfile (source not queried)
Full report
- gpt-researcher
- Trust report
- gpt_academic
- Trust report
Typed relationship
Shared compatibility
- Python · gpt-researcher: Python runtime · gpt_academic: Python runtime
Choose gpt-researcher if…
- License: gpt-researcher is Apache-2.0, gpt_academic is GPL-3.0.
- Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their.
- gpt-researcher and gpt_academic both serve research-related tasks but differ in their primary functions. gpt-reSEARCHER acts as an autonomous agent focused on conducting deep, comprehensive research from various data sources, producing detailed reports with citations, while gpt_academic offers an interactive interface for large language models tailored specifically for academic tasks such as paper
- Tags unique to gpt-researcher: agent, ai, automation, deepresearch.
- Also covers AI Agents, Data & Retrieval.
- - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily.
When NOT to use gpt-researcher
- - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills.
- - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks.
Choose gpt_academic if…
- License: gpt_academic is GPL-3.0, gpt-researcher is Apache-2.0.
- Requirements: Min 8 GB RAM; 依赖Python环境.
- gpt-researcher and gpt_academic both serve research-related tasks but differ in their primary functions. gpt-reSEARCHER acts as an autonomous agent focused on conducting deep, comprehensive research from various data sources, producing detailed reports with citations, while gpt_academic offers an interactive interface for large language models tailored specifically for academic tasks such as paper
- Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4.
- Also covers Developer Tools, LLM Frameworks.
- 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 206 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (assafelovic/gpt-researcher) · observed Aug 8, 2026
- GitHub forks (assafelovic/gpt-researcher) · observed Aug 8, 2026
- Last push (assafelovic/gpt-researcher) · observed Jul 18, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: gpt-researcher 29k · gpt_academic 71k (synced Aug 8, 2026).
Common questions
- What is the difference between gpt-researcher and gpt_academic?
- gpt-researcher: An autonomous agent that conducts deep research using LLM providers. gpt_academic: 提供实用化交互接口,优化论文阅读/润色/写作体验. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt-researcher over gpt_academic?
- Choose gpt-researcher over gpt_academic when License: gpt-researcher is Apache-2.0, gpt_academic is GPL-3.0; Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their; gpt-researcher and gpt_academic both serve research-related tasks but differ in their primary functions. gpt-reSEARCHER acts as an autonomous agent focused on conducting deep, comprehensive research from various data sources, producing detailed reports with citations, while gpt_academic offers an interactive interface for large language models tailored specifically for academic tasks such as paper; Tags unique to gpt-researcher: agent, ai, automation, deepresearch; Also covers AI Agents, Data & Retrieval; - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily.
- When should I choose gpt_academic over gpt-researcher?
- Choose gpt_academic over gpt-researcher when License: gpt_academic is GPL-3.0, gpt-researcher is Apache-2.0; Requirements: Min 8 GB RAM; 依赖Python环境; gpt-researcher and gpt_academic both serve research-related tasks but differ in their primary functions. gpt-reSEARCHER acts as an autonomous agent focused on conducting deep, comprehensive research from various data sources, producing detailed reports with citations, while gpt_academic offers an interactive interface for large language models tailored specifically for academic tasks such as paper; Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4; Also covers Developer Tools, LLM Frameworks; 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 avoid gpt-researcher?
- - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills. - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks.
- When should I avoid gpt_academic?
- Last GitHub push was 206 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.
- Is gpt-researcher or gpt_academic more popular on GitHub?
- gpt_academic has more GitHub stars (71,196 vs 28,883). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt-researcher and gpt_academic open source?
- Yes - both are open-source projects on GitHub (gpt-researcher: Apache-2.0, gpt_academic: GPL-3.0).
- Where can I find alternatives to gpt-researcher or gpt_academic?
- GraphCanon lists graph-backed alternatives at gpt-researcher alternatives and gpt_academic alternatives (gpt-researcher markdown twin, gpt_academic 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-researcher or gpt_academic?
- gpt-researcher: Active. gpt_academic: 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-researcher and gpt_academic?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt-researcher trust report; gpt_academic trust report.