Comparison
DeepResearch vs deep-research
Verdict
Pick DeepResearch if deepResearch is an open-source AI research agent specialized for information-seeking tasks, built with Python and licensed under Apache-2.0; pick deep-research if 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.
Markdown twin · DeepResearch alternatives · deep-research alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | DeepResearch | deep-research |
|---|---|---|
| Maintenance | Slowing (172d since push) As of 1d · github_public_v1 | Slowing (129d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of 1d · 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
- DeepResearch
- Tongyi Deep Research, the Leading Open-source Deep Research Agent
- deep-research
- An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.
Stars
- DeepResearch
- 20k
- deep-research
- 20k
Forks
- DeepResearch
- 1.5k
- deep-research
- 2.0k
Open issues
- DeepResearch
- 92
- deep-research
- 93
Language
- DeepResearch
- Python
- deep-research
- TypeScript
Adopt for
- DeepResearch
- DeepResearch is an open-source AI research agent specialized for information-seeking tasks, built with Python and licensed under Apache-2.0.
- 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
- DeepResearch
- -
- deep-research
- -
Runtime
- DeepResearch
- -
- deep-research
- -
License
- DeepResearch
- Apache-2.0
- deep-research
- MIT
Last pushed
- DeepResearch
- Feb 27, 2026
- deep-research
- Apr 11, 2026
Categories
- DeepResearch
- AI Agents, Inference & Serving
- deep-research
- AI Agents, Data & Retrieval
Trust and health
Days since push
- DeepResearch
- 172d
- deep-research
- 129d
Open issues (now)
- DeepResearch
- 92
- deep-research
- 93
Stars delta
- DeepResearch
- +161 (30d)
- deep-research
- +195 (30d)
Open issues delta
- DeepResearch
- 0 (30d)
- deep-research
- +3 (30d)
Owner type
- DeepResearch
- Organization
- deep-research
- User
Full report
- DeepResearch
- Trust report
- deep-research
- Trust report
Typed relationship
Choose DeepResearch if…
- DeepResearch is primarily Python; deep-research is TypeScript.
- License: DeepResearch is Apache-2.0, deep-research is MIT.
- Both are AI-powered research assistants that perform deep research on topics, differing in implementation and specific features.
- Tags unique to DeepResearch: alibaba, artificial-intelligence, deep-research, llm.
- Also covers Inference & Serving.
- When you need a tool backed by Alibaba’s ecosystem that offers a robust environment for conducting deep research using AI techniques.
When NOT to use DeepResearch
- Avoid DeepResearch if you require specialized features that are not covered under its deep research and information-seeking scope.
- Do not use this tool if your project necessitates proprietary solutions, as the open-source nature might be a constraint in such scenarios.
Choose deep-research if…
- deep-research is primarily TypeScript; DeepResearch is Python.
- License: deep-research is MIT, DeepResearch is Apache-2.0.
- Requirements: Requires Docker.
- Both are AI-powered research assistants that perform deep research on topics, differing in implementation and specific features.
- Tags unique to deep-research: ai, gpt, o3-mini, research.
- Also covers Data & Retrieval.
- deep-research ships Docker support for self-hosted deployment.
- 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 (Alibaba-NLP/DeepResearch) · observed Aug 19, 2026
- GitHub forks (Alibaba-NLP/DeepResearch) · observed Aug 19, 2026
- Last push (Alibaba-NLP/DeepResearch) · observed Feb 27, 2026
- License file (Apache-2.0) · observed Aug 19, 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: DeepResearch 20k · deep-research 20k (synced Aug 19, 2026).
Common questions
- What is the difference between DeepResearch and deep-research?
- DeepResearch: Tongyi Deep Research, the Leading Open-source Deep Research Agent. 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 DeepResearch over deep-research?
- Choose DeepResearch over deep-research when DeepResearch is primarily Python; deep-research is TypeScript; License: DeepResearch is Apache-2.0, deep-research is MIT; Both are AI-powered research assistants that perform deep research on topics, differing in implementation and specific features; Tags unique to DeepResearch: alibaba, artificial-intelligence, deep-research, llm; Also covers Inference & Serving; When you need a tool backed by Alibaba’s ecosystem that offers a robust environment for conducting deep research using AI techniques.
- When should I choose deep-research over DeepResearch?
- Choose deep-research over DeepResearch when deep-research is primarily TypeScript; DeepResearch is Python; License: deep-research is MIT, DeepResearch is Apache-2.0; Requirements: Requires Docker; Both are AI-powered research assistants that perform deep research on topics, differing in implementation and specific features; Tags unique to deep-research: ai, gpt, o3-mini, research; Also covers Data & Retrieval; deep-research ships Docker support for self-hosted deployment; When you need a tool that can refine its topic focus over time through repeated iterations.
- When should I avoid DeepResearch?
- Avoid DeepResearch if you require specialized features that are not covered under its deep research and information-seeking scope. Do not use this tool if your project necessitates proprietary solutions, as the open-source nature might be a constraint in such scenarios.
- 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 DeepResearch or deep-research more popular on GitHub?
- DeepResearch has more GitHub stars (19,846 vs 19,571). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepResearch and deep-research open source?
- Yes - both are open-source projects on GitHub (DeepResearch: Apache-2.0, deep-research: MIT).
- Where can I find alternatives to DeepResearch or deep-research?
- GraphCanon lists graph-backed alternatives at DeepResearch alternatives and deep-research alternatives (DeepResearch 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, DeepResearch or deep-research?
- DeepResearch: 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 DeepResearch and deep-research?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepResearch trust report; deep-research trust report.