Comparison
gpt-researcher vs storm
Verdict
Pick gpt-researcher if 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; pick storm if storm is an advanced AI tool that utilizes LLM technology and RAG to generate deep research reports with citations.
Markdown twin · gpt-researcher alternatives · storm alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | gpt-researcher | storm |
|---|---|---|
| Maintenance | Active (21d since push) As of 1w · github_public_v1 | Slowing (320d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 3d · 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
- gpt-researcher
- An autonomous agent that conducts deep research using LLM providers
- storm
- An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Stars
- gpt-researcher
- 29k
- storm
- 31k
Forks
- gpt-researcher
- 3.9k
- storm
- 2.9k
Open issues
- gpt-researcher
- 192
- storm
- 108
Language
- gpt-researcher
- Python
- storm
- Python
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.
- storm
- Storm is an advanced AI tool that utilizes LLM technology and RAG to generate deep research reports with citations.
Persona
- gpt-researcher
- -
- storm
- -
Runtime
- gpt-researcher
- -
- storm
- -
License
- gpt-researcher
- Apache-2.0
- storm
- MIT
Last pushed
- gpt-researcher
- Jul 18, 2026
- storm
- Sep 30, 2025
Categories
- gpt-researcher
- AI Agents, Data & Retrieval
- storm
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- gpt-researcher
- Active (82%)
- storm
- Slowing (36%)
Days since push
- gpt-researcher
- 21d
- storm
- 320d
Open issues (now)
- gpt-researcher
- 192
- storm
- 108
Stars delta
- gpt-researcher
- +737 (30d)
- storm
- +895 (30d)
Open issues delta
- gpt-researcher
- -18 (30d)
- storm
- -36 (30d)
Owner type
- gpt-researcher
- User
- storm
- Organization
OSV dependency advisories
- gpt-researcher
- Published findings
- storm
- No lockfile (source not queried)
Full report
- gpt-researcher
- Trust report
- storm
- Trust report
Typed relationship
gpt-researcher alternative stormBoth GPT Researcher and STORM aim to conduct large-scale research tasks, generate detailed reports with citations, using LLMs for deep inquiry into a topic.
Shared compatibility
- Python · gpt-researcher: Python runtime · storm: Python runtime
Choose gpt-researcher if…
- License: gpt-researcher is Apache-2.0, storm 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 GPT Researcher and STORM aim to conduct large-scale research tasks, generate detailed reports with citations, using LLMs for deep inquiry into a topic.
- Tags unique to gpt-researcher: agent, ai, automation, deepresearch.
- Also covers AI Agents.
- gpt-researcher ships Docker support for self-hosted deployment.
- - 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 storm if…
- License: storm is MIT, gpt-researcher is Apache-2.0.
- Both GPT Researcher and STORM aim to conduct large-scale research tasks, generate detailed reports with citations, using LLMs for deep inquiry into a topic.
- 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 (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 (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: gpt-researcher 29k · storm 31k (synced Aug 8, 2026).
Common questions
- What is the difference between gpt-researcher and storm?
- gpt-researcher: An autonomous agent that conducts deep research using LLM providers. 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 gpt-researcher over storm?
- Choose gpt-researcher over storm when License: gpt-researcher is Apache-2.0, storm 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 GPT Researcher and STORM aim to conduct large-scale research tasks, generate detailed reports with citations, using LLMs for deep inquiry into a topic; Tags unique to gpt-researcher: agent, ai, automation, deepresearch; Also covers AI Agents; gpt-researcher ships Docker support for self-hosted deployment; - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily.
- When should I choose storm over gpt-researcher?
- Choose storm over gpt-researcher when License: storm is MIT, gpt-researcher is Apache-2.0; Both GPT Researcher and STORM aim to conduct large-scale research tasks, generate detailed reports with citations, using LLMs for deep inquiry into a topic; 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 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 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 gpt-researcher or storm more popular on GitHub?
- storm has more GitHub stars (31,026 vs 28,883). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt-researcher and storm open source?
- Yes - both are open-source projects on GitHub (gpt-researcher: Apache-2.0, storm: MIT).
- Where can I find alternatives to gpt-researcher or storm?
- GraphCanon lists graph-backed alternatives at gpt-researcher alternatives and storm alternatives (gpt-researcher 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, gpt-researcher or storm?
- gpt-researcher: Active. 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 gpt-researcher and storm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt-researcher trust report; storm trust report.