Comparison
gpt_academic vs deep-research
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 deep-research if deep Research is a JavaScript-based framework enabling integration of various Large Language Models for deep research projects using SSE and MCP.
Markdown twin · gpt_academic alternatives · deep-research alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | gpt_academic | deep-research |
|---|---|---|
| Maintenance | Slowing (235d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (93d since push) As of Sep 20, 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 Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Aug 30, 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.
- deep-research
- Use any LLMs for Deep Research with SSE API and MCP server
Stars
- gpt_academic
- 71k
- deep-research
- 4.7k
Forks
- gpt_academic
- 8.3k
- deep-research
- 1.1k
Open issues
- gpt_academic
- 332
- deep-research
- 39
Language
- gpt_academic
- Python
- deep-research
- JavaScript
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
- deep-research
- Deep Research is a JavaScript-based framework enabling integration of various Large Language Models for deep research projects using SSE and MCP.
Persona
- gpt_academic
- -
- deep-research
- -
Runtime
- gpt_academic
- -
- deep-research
- -
License
- gpt_academic
- GPL-3.0
- deep-research
- MIT
Last pushed
- gpt_academic
- Jan 25, 2026
- deep-research
- Jun 18, 2026
Categories
- gpt_academic
- Inference & Serving, LLM Frameworks
- deep-research
- Inference & Serving, LLM Frameworks
Trust and health
Days since push
- gpt_academic
- 235d
- deep-research
- 93d
Open issues (now)
- gpt_academic
- 332
- deep-research
- 39
Stars delta
- gpt_academic
- +165 (30d)
- deep-research
- +2 (30d)
Open issues delta
- gpt_academic
- +2 (30d)
- deep-research
- +3 (30d)
Owner type
- gpt_academic
- User
- deep-research
- Organization
OSV dependency advisories
- gpt_academic
- Published findings
- deep-research
- No lockfile (source not queried)
Full report
- gpt_academic
- Trust report
- deep-research
- Trust report
Choose gpt_academic if…
- gpt_academic is primarily Python; deep-research is JavaScript.
- License: gpt_academic is GPL-3.0, deep-research is MIT.
- 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.
- Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4.
- 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 deep-research if…
- deep-research is primarily JavaScript; gpt_academic is Python.
- License: deep-research is MIT, gpt_academic is GPL-3.0.
- Tags unique to deep-research: anthropic, deep-research-api, gemini, grok.
- - When requiring an API interface that supports Server-Sent Events (SSE) and Model Control Protocol (MCP) for integrating large language models
When NOT to use deep-research
- - When working with environments that do not support JavaScript, as Deep Research is primarily built on this language
- - For projects that require real-time bidirectional communication with models, as Deep Research might only provide unidirectional data flow through SSE
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 (u14app/deep-research) · observed Sep 20, 2026
- GitHub forks (u14app/deep-research) · observed Sep 20, 2026
- Last push (u14app/deep-research) · observed Jun 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Aug 30, 2026
GitHub stars on cards: gpt_academic 71k · deep-research 4.7k (synced Sep 20, 2026).
Common questions
- What is the difference between gpt_academic and deep-research?
- gpt_academic: Provides practical interaction interfaces for GPT/GLM LLMs, optimized for academic paper reading, polishing, and writing.. deep-research: Use any LLMs for Deep Research with SSE API and MCP server. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt_academic over deep-research?
- Choose gpt_academic over deep-research when gpt_academic is primarily Python; deep-research is JavaScript; License: gpt_academic is GPL-3.0, deep-research is MIT; 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; Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4; When you need a tool specifically optimized for academic tasks like paper translation, summarization, and writing assistance.
- When should I choose deep-research over gpt_academic?
- Choose deep-research over gpt_academic when deep-research is primarily JavaScript; gpt_academic is Python; License: deep-research is MIT, gpt_academic is GPL-3.0; Tags unique to deep-research: anthropic, deep-research-api, gemini, grok; - When requiring an API interface that supports Server-Sent Events (SSE) and Model Control Protocol (MCP) for integrating large language models.
- 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 deep-research?
- - When working with environments that do not support JavaScript, as Deep Research is primarily built on this language - For projects that require real-time bidirectional communication with models, as Deep Research might only provide unidirectional data flow through SSE
- Is gpt_academic or deep-research more popular on GitHub?
- gpt_academic has more GitHub stars (71,361 vs 4,688). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt_academic and deep-research open source?
- Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, deep-research: MIT).
- Where can I find alternatives to gpt_academic or deep-research?
- GraphCanon lists graph-backed alternatives at gpt_academic alternatives and deep-research alternatives (gpt_academic markdown twin, deep-research 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 deep-research?
- gpt_academic: Slowing. deep-research: 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_academic and deep-research?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt_academic trust report; deep-research trust report.