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 LLM-powered knowledge curation system that automates topic research and report generation with citations, offering customization through its source code.
Markdown twin · deep-research alternatives · storm alternatives
GraphCanon updated Sep 20, 2026
15views this month
vs
Trust & integrity
| Signal | deep-research | storm |
|---|---|---|
| Maintenance | Slowing (129d since push) As of Aug 19, 2026 · github_public_v1 | Slowing (352d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No published findings from this source as of 2026-09-18 As of Sep 18, 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
- 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 for topic research and report generation
Stars
- deep-research
- 20k
- storm
- 31k
Forks
- deep-research
- 2.0k
- storm
- 3.0k
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 LLM-powered knowledge curation system that automates topic research and report generation with citations, offering customization through its source code.
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
- 352d
Open issues (now)
- deep-research
- 93
- storm
- 108
Stars delta
- deep-research
- +195 (30d)
- storm
- +407 (30d)
Open issues delta
- deep-research
- +3 (30d)
- storm
- 0 (30d)
Owner type
- deep-research
- User
- storm
- Organization
OSV dependency advisories
- deep-research
- Published findings
- storm
- No published findings from this source as of 2026-09-18
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, emnlp2024, knowledge-curation.
- Also covers LLM Frameworks.
- When you need a system that can generate comprehensive reports with citations using large language models.
When NOT to use storm
- If you are looking for a tool that does not require API keys for its operation, as STORM suggests using API keys for certain functionalities.
- When you prefer a system that does not offer the option to modify its behavior through source code, as STORM provides this customization feature.
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 Sep 20, 2026
- GitHub forks (dzhng/deep-research) · observed Sep 20, 2026
- Last push (dzhng/deep-research) · observed Apr 11, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (stanford-oval/storm) · observed Sep 20, 2026
- GitHub forks (stanford-oval/storm) · observed Sep 20, 2026
- Last push (stanford-oval/storm) · observed Sep 30, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: deep-research 20k · storm 31k (synced Sep 20, 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 for topic research and report generation. 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, emnlp2024, knowledge-curation; Also covers LLM Frameworks; When you need a system that can generate comprehensive reports with citations using large language models.
- 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?
- If you are looking for a tool that does not require API keys for its operation, as STORM suggests using API keys for certain functionalities. When you prefer a system that does not offer the option to modify its behavior through source code, as STORM provides this customization feature.
- Is deep-research or storm more popular on GitHub?
- storm has more GitHub stars (31,433 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.