Comparison
DeepResearch vs deep-research
DeepResearch (Tongyi Deep Research, the Leading Open-source Deep Research Agent) vs deep-research (An AI-powered research assistant that performs iterative, deep research on any topic) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · DeepResearch alternatives · deep-research alternatives
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Tagline
- DeepResearch
- Tongyi Deep Research, the Leading Open-source Deep Research Agent
- deep-research
- An AI-powered research assistant that performs iterative, deep research on any topic
Stars
- DeepResearch
- 20k
- deep-research
- 19k
Forks
- DeepResearch
- 1.5k
- deep-research
- 2.0k
Open issues
- DeepResearch
- 91
- deep-research
- 90
Language
- DeepResearch
- Python
- deep-research
- TypeScript
Adopt for
- DeepResearch
- DeepResearch is an agentic large language model designed with a focus on long-horizon, deep information-seeking tasks, making it particularly suitable for users needing advanced search capabilities. It comes with 30.5B+3
- deep-research
- Deep Research is an AI-powered research assistant that efficiently dives into any topic by leveraging search engines, web scraping, and large language models. It iteratively refines its research direction over time to go
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, LLM Frameworks
- deep-research
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- DeepResearch
- Slowing (36%)
- deep-research
- Steady (60%)
Days since push
- DeepResearch
- 130d
- deep-research
- 87d
Open issues (now)
- DeepResearch
- 91
- deep-research
- 90
Owner type
- DeepResearch
- Organization
- deep-research
- User
Security scan
- DeepResearch
- 104 low (104 low)
- deep-research
- 39 low (39 low)
Full report
- DeepResearch
- Trust report
- deep-research
- Trust report
Typed relationship
DeepResearch alternative deep-researchBoth are AI-powered research assistants that perform deep research on topics, differing in implementation and specific features.
Choose DeepResearch if…
- DeepResearch is primarily Python; deep-research is TypeScript.
- License: DeepResearch is Apache-2.0, deep-research is MIT.
- Pricing: No specific pricing info provided; deployment could vary depending on your cloud service provider or if you self-host on local servers..
- Requirements: Min 16 GB RAM; Requires substantial computational resources due to its size and complexity.; Recommended for users with access to robust hardware infrastructure, either through cloud services like Aliyun's Bailian or local deployment..
- Both are AI-powered research assistants that perform deep research on topics, differing in implementation and specific features.
- Tags unique to DeepResearch: llm, artificial-intelligence, alibaba, deep-research.
- Also covers LLM Frameworks.
- When you need to perform sophisticated long-term horizon tasks that require in-depth information seeking.
When NOT to use DeepResearch
- Avoid using it for tasks requiring quick responses as it might suffer from slower response times due to its complex architecture designed for deep information-seeking.
- Not suitable for less demanding or simpler tasks where smaller and more efficient models can perform adequately without the overhead of DeepResearch's extensive capability.
Choose deep-research if…
- deep-research is primarily TypeScript; DeepResearch is Python.
- License: deep-research is MIT, DeepResearch is Apache-2.0.
- Requirements: Min 2 GB RAM; Requires Docker; Requires Node.js environment setup.; Needs specific API keys for third-party web search (Firecrawl) and language model services (OpenAI)..
- Both are AI-powered research assistants that perform deep research on topics, differing in implementation and specific features.
- Tags unique to deep-research: research, ai, o3-mini, gpt.
- Also covers Data & Retrieval.
- deep-research ships Docker support for self-hosted deployment.
- You require a detailed and comprehensive report on a specific topic where traditional manual or less refined automated tools are too basic.
When NOT to use deep-research
- If your project requires proprietary or classified data analysis because Deep Research relies on public web scraping and search engines, which limits access to non-public content.
- You are looking for a tool that operates solely offline; since the tool needs internet access to perform its tasks through API calls to services like Firecrawl and OpenAI.
Explore
DeepResearch trust report →deep-research trust report →AI Agents category →LLM Frameworks category →Data & Retrieval category →All comparisonsStack workflowsTrending tools
Related comparisons
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 performs iterative, deep research on any topic. 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; Pricing: No specific pricing info provided; deployment could vary depending on your cloud service provider or if you self-host on local servers.; Requirements: Min 16 GB RAM; Requires substantial computational resources due to its size and complexity.; Recommended for users with access to robust hardware infrastructure, either through cloud services like Aliyun's Bailian or local deployment.; Both are AI-powered research assistants that perform deep research on topics, differing in implementation and specific features; Tags unique to DeepResearch: llm, artificial-intelligence, alibaba, deep-research; Also covers LLM Frameworks; When you need to perform sophisticated long-term horizon tasks that require in-depth information seeking.
- 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: Min 2 GB RAM; Requires Docker; Requires Node.js environment setup.; Needs specific API keys for third-party web search (Firecrawl) and language model services (OpenAI).; Both are AI-powered research assistants that perform deep research on topics, differing in implementation and specific features; Tags unique to deep-research: research, ai, o3-mini, gpt; Also covers Data & Retrieval; deep-research ships Docker support for self-hosted deployment; You require a detailed and comprehensive report on a specific topic where traditional manual or less refined automated tools are too basic.
- When should I avoid DeepResearch?
- Avoid using it for tasks requiring quick responses as it might suffer from slower response times due to its complex architecture designed for deep information-seeking. Not suitable for less demanding or simpler tasks where smaller and more efficient models can perform adequately without the overhead of DeepResearch's extensive capability.
- When should I avoid deep-research?
- If your project requires proprietary or classified data analysis because Deep Research relies on public web scraping and search engines, which limits access to non-public content. You are looking for a tool that operates solely offline; since the tool needs internet access to perform its tasks through API calls to services like Firecrawl and OpenAI.
- Is DeepResearch or deep-research more popular on GitHub?
- DeepResearch has more GitHub stars (19,621 vs 19,312). 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 /tools/alibaba-nlp-deepresearch/alternatives and /tools/dzhng-deep-research/alternatives (/tools/alibaba-nlp-deepresearch/alternatives.md, /tools/dzhng-deep-research/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/alibaba-nlp-deepresearch-vs-dzhng-deep-research.md 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: Steady. 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: /tools/alibaba-nlp-deepresearch/trust; deep-research: /tools/dzhng-deep-research/trust.