Home/Compare/gpt-researcher vs gpt_academic

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

gpt-researcher logo

gpt-researcher

assafelovic/gpt-researcher

29kpushed Jul 18, 2026
vs
gpt_academic logo

gpt_academic

binary-husky/gpt_academic

71kpushed Jan 25, 2026

Trust & integrity

Signalgpt-researchergpt_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

gpt-researcher alternative gpt_academicgpt-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

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 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.

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