Comparison
deep-research vs storm
Verdict
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; pick storm if storm is an advanced AI tool that utilizes LLM technology and RAG to generate deep research reports with citations.
Markdown twin · deep-research alternatives · storm alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | deep-research | storm |
|---|---|---|
| Maintenance | Slowing (129d since push) As of 4d · github_public_v1 | Slowing (320d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4d · github_public_v1 | Not a fork · Organization account As of 6d · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) 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
- deep-research
- An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.
- storm
- An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Stars
- deep-research
- 20k
- storm
- 31k
Forks
- deep-research
- 2.0k
- storm
- 2.9k
Open issues
- deep-research
- 93
- storm
- 108
Language
- deep-research
- TypeScript
- storm
- Python
Adopt for
- 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.
- storm
- Storm is an advanced AI tool that utilizes LLM technology and RAG to generate deep research reports with citations.
Persona
- deep-research
- -
- storm
- -
Runtime
- deep-research
- -
- storm
- -
License
- deep-research
- MIT
- storm
- MIT
Last pushed
- deep-research
- Apr 11, 2026
- storm
- Sep 30, 2025
Categories
- deep-research
- AI Agents, Data & Retrieval
- storm
- Data & Retrieval, LLM Frameworks
Trust and health
Days since push
- deep-research
- 129d
- storm
- 320d
Open issues (now)
- deep-research
- 93
- storm
- 108
Stars delta
- deep-research
- +195 (30d)
- storm
- +895 (30d)
Open issues delta
- deep-research
- +3 (30d)
- storm
- -36 (30d)
Owner type
- deep-research
- User
- storm
- Organization
OSV dependency advisories
- deep-research
- Published findings
- storm
- No lockfile (source not queried)
Full report
- deep-research
- Trust report
- storm
- Trust report
Typed relationship
deep-research alternative stormBoth aim at performing iterative and deep research using AI-powered methods, indicating a competitive relationship in the domain of AI-assisted research.
Choose deep-research if…
- deep-research is primarily TypeScript; storm is Python.
- Requirements: Requires Docker.
- Both aim at performing iterative and deep research using AI-powered methods, indicating a competitive relationship in the domain of AI-assisted research.
- Tags unique to deep-research: agent, ai, gpt, o3-mini.
- Also covers AI Agents.
- 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.
Choose storm if…
- storm is primarily Python; deep-research is TypeScript.
- Both aim at performing iterative and deep research using AI-powered methods, indicating a competitive relationship in the domain of AI-assisted research.
- Tags unique to storm: agentic-rag, deep-research, knowledge-curation, large language models.
- Also covers LLM Frameworks.
- When you need comprehensive reports that are heavily researched and reference a wide variety of sources.
When NOT to use storm
- When real-time interaction or rapid iterative feedback loops are necessary, as Storm’s focus on thorough research might lead to longer processing times.
- In scenarios requiring manual curation and subjective analysis that goes beyond the capabilities of retrieval and generation mechanisms.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (stanford-oval/storm) · observed Aug 17, 2026
- GitHub forks (stanford-oval/storm) · observed Aug 17, 2026
- Last push (stanford-oval/storm) · observed Sep 30, 2025
- License file (MIT) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deep-research 20k · storm 31k (synced Aug 19, 2026).
Common questions
- What is the difference between deep-research and storm?
- deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. storm: An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.. See the comparison table for live GitHub stats and shared categories.
- When should I choose deep-research over storm?
- Choose deep-research over storm when deep-research is primarily TypeScript; storm is Python; Requirements: Requires Docker; Both aim at performing iterative and deep research using AI-powered methods, indicating a competitive relationship in the domain of AI-assisted research; Tags unique to deep-research: agent, ai, gpt, o3-mini; Also covers AI Agents; 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 choose storm over deep-research?
- Choose storm over deep-research when storm is primarily Python; deep-research is TypeScript; Both aim at performing iterative and deep research using AI-powered methods, indicating a competitive relationship in the domain of AI-assisted research; Tags unique to storm: agentic-rag, deep-research, knowledge-curation, large language models; Also covers LLM Frameworks; When you need comprehensive reports that are heavily researched and reference a wide variety of sources.
- 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.
- When should I avoid storm?
- When real-time interaction or rapid iterative feedback loops are necessary, as Storm’s focus on thorough research might lead to longer processing times. In scenarios requiring manual curation and subjective analysis that goes beyond the capabilities of retrieval and generation mechanisms.
- Is deep-research or storm more popular on GitHub?
- storm has more GitHub stars (31,026 vs 19,571). Stars measure visibility, not whether either tool fits your constraints.
- Are deep-research and storm open source?
- Yes - both are open-source projects on GitHub (deep-research: MIT, storm: MIT).
- Where can I find alternatives to deep-research or storm?
- GraphCanon lists graph-backed alternatives at deep-research alternatives and storm alternatives (deep-research markdown twin, storm 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, deep-research or storm?
- deep-research: Slowing. storm: 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 deep-research and storm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deep-research trust report; storm trust report.