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 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.
Markdown twin · gpt-researcher alternatives · gpt_academic alternatives
GraphCanon updated Sep 20, 2026
13views this month
Trust & integrity
| Signal | gpt-researcher | gpt_academic |
|---|---|---|
| Maintenance | Active (11d since push) As of Sep 8, 2026 · github_public_v1 | Slowing (235d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 8, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 18, 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-researcher
- An autonomous agent that conducts deep research using LLM providers
- gpt_academic
- Provides practical interaction interfaces for GPT/GLM LLMs, optimized for academic paper reading, polishing, and writing.
Stars
- gpt-researcher
- 29k
- gpt_academic
- 71k
Forks
- gpt-researcher
- 4.0k
- gpt_academic
- 8.3k
Open issues
- gpt-researcher
- 76
- gpt_academic
- 332
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 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
Persona
- gpt-researcher
- -
- gpt_academic
- -
Runtime
- gpt-researcher
- -
- gpt_academic
- -
License
- gpt-researcher
- Apache-2.0
- gpt_academic
- GPL-3.0
Last pushed
- gpt-researcher
- Aug 27, 2026
- gpt_academic
- Jan 25, 2026
Categories
- gpt-researcher
- AI Agents, Data & Retrieval
- gpt_academic
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- gpt-researcher
- Active (82%)
- gpt_academic
- Slowing (36%)
Days since push
- gpt-researcher
- 11d
- gpt_academic
- 235d
Open issues (now)
- gpt-researcher
- 76
- gpt_academic
- 332
Stars delta
- gpt-researcher
- +460 (30d)
- gpt_academic
- +165 (30d)
Open issues delta
- gpt-researcher
- -116 (30d)
- gpt_academic
- +2 (30d)
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: 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.
- 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 Inference & Serving, LLM Frameworks.
- 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.
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 Sep 20, 2026
- GitHub forks (assafelovic/gpt-researcher) · observed Sep 20, 2026
- Last push (assafelovic/gpt-researcher) · observed Aug 27, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: gpt-researcher 29k · gpt_academic 71k (synced Sep 20, 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: Provides practical interaction interfaces for GPT/GLM LLMs, optimized for academic paper reading, polishing, and writing.. 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: 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; 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 Inference & Serving, LLM Frameworks; When you need a tool specifically optimized for academic tasks like paper translation, summarization, and writing assistance.
- 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?
- 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.
- Is gpt-researcher or gpt_academic more popular on GitHub?
- gpt_academic has more GitHub stars (71,361 vs 29,343). 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.