Comparison
gpt-researcher vs deep-research
Verdict
Tool A, gpt-researcher by Assafelovic, offers Python-based automated research with broad LLM supplier support via Docker or Claude Skill. Tool B, deep-research by dzhng, provides TypeScript environment AI-assisted iterative research using Firecrawl and OpenAI APIs in Node.js.
Markdown twin · gpt-researcher alternatives · deep-research alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | gpt-researcher | deep-research |
|---|---|---|
| Maintenance | Active (21d since push) As of 2w · github_public_v1 | Slowing (129d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 3d · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings 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
- deep-research
- An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.
Stars
- gpt-researcher
- 29k
- deep-research
- 20k
Forks
- gpt-researcher
- 3.9k
- deep-research
- 2.0k
Open issues
- gpt-researcher
- 192
- deep-research
- 93
Language
- gpt-researcher
- Python
- deep-research
- TypeScript
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.
- deep-research
- Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics.
Persona
- gpt-researcher
- -
- deep-research
- -
Runtime
- gpt-researcher
- -
- deep-research
- -
License
- gpt-researcher
- Apache-2.0
- deep-research
- MIT
Last pushed
- gpt-researcher
- Jul 18, 2026
- deep-research
- Apr 11, 2026
Categories
- gpt-researcher
- AI Agents, Data & Retrieval
- deep-research
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- gpt-researcher
- Active (82%)
- deep-research
- Slowing (36%)
Days since push
- gpt-researcher
- 21d
- deep-research
- 129d
Open issues (now)
- gpt-researcher
- 192
- deep-research
- 93
Stars delta
- gpt-researcher
- +737 (30d)
- deep-research
- +195 (30d)
Open issues delta
- gpt-researcher
- -18 (30d)
- deep-research
- +3 (30d)
Full report
- gpt-researcher
- Trust report
- deep-research
- Trust report
Typed relationship
gpt-researcher alternative deep-researchBoth tools aim to conduct deep research using AI, with the primary difference being their implementation approaches.
Shared compatibility
- Node.js · gpt-researcher: Node.js runtime · deep-research: Node.js runtime
- OpenAI API · gpt-researcher: OpenAI API · deep-research: OpenAI API
Choose gpt-researcher if…
- gpt-researcher is primarily Python; deep-research is TypeScript.
- License: gpt-researcher is Apache-2.0, deep-research is MIT.
- 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.
- Both tools aim to conduct deep research using AI, with the primary difference being their implementation approaches.
- Tags unique to gpt-researcher: automation, deepresearch, llms, python.
- - 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 deep-research if…
- deep-research is primarily TypeScript; gpt-researcher is Python.
- License: deep-research is MIT, gpt-researcher is Apache-2.0.
- Requirements: Requires Docker.
- Both tools aim to conduct deep research using AI, with the primary difference being their implementation approaches.
- Tags unique to deep-research: gpt, o3-mini, research.
- When you need a tool that can refine its topic focus over time through repeated iterations.
When NOT to use deep-research
- When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment.
- If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys.
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 (dzhng/deep-research) · observed Aug 19, 2026
- GitHub forks (dzhng/deep-research) · observed Aug 19, 2026
- Last push (dzhng/deep-research) · observed Apr 11, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gpt-researcher 29k · deep-research 20k (synced Aug 8, 2026).
Common questions
- When should one use gpt-researcher?
- Use when needing automated deep research across multiple LLM providers with flexible API flexibility
- When is deep-research a more fitting choice?
- Prefer it for TypeScript Node.js projects that refine research topics over time using specific APIs
- What is the difference between gpt-researcher and deep-research?
- gpt-researcher: An autonomous agent that conducts deep research using LLM providers. deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt-researcher over deep-research?
- Choose gpt-researcher over deep-research when gpt-researcher is primarily Python; deep-research is TypeScript; License: gpt-researcher is Apache-2.0, deep-research is MIT; 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; Both tools aim to conduct deep research using AI, with the primary difference being their implementation approaches; Tags unique to gpt-researcher: automation, deepresearch, llms, python; - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily.
- When should I choose deep-research over gpt-researcher?
- Choose deep-research over gpt-researcher when deep-research is primarily TypeScript; gpt-researcher is Python; License: deep-research is MIT, gpt-researcher is Apache-2.0; Requirements: Requires Docker; Both tools aim to conduct deep research using AI, with the primary difference being their implementation approaches; Tags unique to deep-research: gpt, o3-mini, research; When you need a tool that can refine its topic focus over time through repeated iterations.
- 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 deep-research?
- When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment. If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys.
- Is gpt-researcher or deep-research more popular on GitHub?
- gpt-researcher has more GitHub stars (28,883 vs 19,571). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt-researcher and deep-research open source?
- Yes - both are open-source projects on GitHub (gpt-researcher: Apache-2.0, deep-research: MIT).
- Where can I find alternatives to gpt-researcher or deep-research?
- GraphCanon lists graph-backed alternatives at gpt-researcher alternatives and deep-research alternatives (gpt-researcher 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-researcher or deep-research?
- gpt-researcher: Active. 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-researcher and deep-research?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt-researcher trust report; deep-research trust report.