Comparison
deep-research vs farfalle
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 farfalle if farfalle is an AI search engine that supports both local and cloud-integrated LLMs, built in TypeScript with support for multiple frontend frameworks including Next.js and React under the Shadcn UI.
Markdown twin · deep-research alternatives · farfalle alternatives
GraphCanon updated Sep 20, 2026
6views this month
vs
Trust & integrity
| Signal | deep-research | farfalle |
|---|---|---|
| Maintenance | Slowing (129d since push) As of Aug 19, 2026 · github_public_v1 | Dormant (722d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 19, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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.
- farfalle
- AI search engine
Stars
- deep-research
- 20k
- farfalle
- 3.5k
Forks
- deep-research
- 2.0k
- farfalle
- 318
Open issues
- deep-research
- 93
- farfalle
- 52
Language
- deep-research
- TypeScript
- farfalle
- TypeScript
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.
- farfalle
- Farfalle is an AI search engine that supports both local and cloud-integrated LLMs, built in TypeScript with support for multiple frontend frameworks including Next.js and React under the Shadcn UI.
Persona
- deep-research
- -
- farfalle
- -
Runtime
- deep-research
- -
- farfalle
- -
License
- deep-research
- MIT
- farfalle
- Apache-2.0
Last pushed
- deep-research
- Apr 11, 2026
- farfalle
- Sep 27, 2024
Categories
- deep-research
- AI Agents, Data & Retrieval
- farfalle
- Data & Retrieval
Trust and health
Maintenance
- deep-research
- Slowing (36%)
- farfalle
- Dormant (18%)
Days since push
- deep-research
- 129d
- farfalle
- 722d
Open issues (now)
- deep-research
- 93
- farfalle
- 52
Stars delta
- deep-research
- +195 (30d)
- farfalle
- 0 (30d)
Open issues delta
- deep-research
- +3 (30d)
- farfalle
- -1 (30d)
OSV dependency advisories
- deep-research
- Published findings
- farfalle
- No lockfile (source not queried)
Full report
- deep-research
- Trust report
- farfalle
- Trust report
Choose deep-research if…
- License: deep-research is MIT, farfalle is Apache-2.0.
- Requirements: Requires Docker.
- 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 farfalle if…
- License: farfalle is Apache-2.0, deep-research is MIT.
- Requirements: Setting up requires Docker for development purposes.; API keys may be required depending on the LLM chosen for integration..
- Tags unique to farfalle: fastapi, generative-ui, gpt-4o, groq.
- When you require self-hosting capabilities to maintain data privacy and security while utilizing an AI-powered search engine.
When NOT to use farfalle
- If your project strictly requires low-code or no-code solutions, as Farfalle demands a more technical setup including modifying environment files and API configurations.
- In environments where a search engine needs to be up and running with minimal configuration time, since setting up Farfalle involves custom setup steps documented in separate instructions.
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 (rashadphz/farfalle) · observed Sep 20, 2026
- GitHub forks (rashadphz/farfalle) · observed Sep 20, 2026
- Last push (rashadphz/farfalle) · observed Sep 27, 2024
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: deep-research 20k · farfalle 3.5k (synced Sep 20, 2026).
Common questions
- What is the difference between deep-research and farfalle?
- deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. farfalle: AI search engine. See the comparison table for live GitHub stats and shared categories.
- When should I choose deep-research over farfalle?
- Choose deep-research over farfalle when License: deep-research is MIT, farfalle is Apache-2.0; Requirements: Requires Docker; 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 farfalle over deep-research?
- Choose farfalle over deep-research when License: farfalle is Apache-2.0, deep-research is MIT; Requirements: Setting up requires Docker for development purposes.; API keys may be required depending on the LLM chosen for integration.; Tags unique to farfalle: fastapi, generative-ui, gpt-4o, groq; When you require self-hosting capabilities to maintain data privacy and security while utilizing an AI-powered search engine.
- 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 farfalle?
- If your project strictly requires low-code or no-code solutions, as Farfalle demands a more technical setup including modifying environment files and API configurations. In environments where a search engine needs to be up and running with minimal configuration time, since setting up Farfalle involves custom setup steps documented in separate instructions.
- Is deep-research or farfalle more popular on GitHub?
- deep-research has more GitHub stars (19,571 vs 3,541). Stars measure visibility, not whether either tool fits your constraints.
- Are deep-research and farfalle open source?
- Yes - both are open-source projects on GitHub (deep-research: MIT, farfalle: Apache-2.0).
- Where can I find alternatives to deep-research or farfalle?
- GraphCanon lists graph-backed alternatives at deep-research alternatives and farfalle alternatives (deep-research markdown twin, farfalle 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 farfalle?
- deep-research: Slowing. farfalle: Dormant. 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 farfalle?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deep-research trust report; farfalle trust report.