Comparison
dify vs quant-mind
Verdict
Pick dify if dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments; pick quant-mind if quantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance, leveraging advanced techniques to assist in the analysis of financial data.
Markdown twin · dify alternatives · quant-mind alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | dify | quant-mind |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Steady (32d since push) As of Sep 17, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 17, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 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
- dify
- Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.
- quant-mind
- Intelligent knowledge extraction and retrieval framework for quantitative finance
Stars
- dify
- 156k
- quant-mind
- 3.0k
Forks
- dify
- 25k
- quant-mind
- 481
Open issues
- dify
- 1.1k
- quant-mind
- 32
Language
- dify
- TypeScript
- quant-mind
- Python
Adopt for
- dify
- Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments.
- quant-mind
- QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance, leveraging advanced techniques to assist in the analysis of financial data.
Persona
- dify
- -
- quant-mind
- -
Runtime
- dify
- -
- quant-mind
- -
License
- dify
- Other
- quant-mind
- MIT
Last pushed
- dify
- Sep 18, 2026
- quant-mind
- Aug 15, 2026
Categories
- dify
- AI Agents, Data & Retrieval, Developer Tools
- quant-mind
- Data & Retrieval
Trust and health
Maintenance
- dify
- Very active (96%)
- quant-mind
- Steady (60%)
Days since push
- dify
- 0d
- quant-mind
- 32d
Open issues (now)
- dify
- 1.1k
- quant-mind
- 32
Stars delta
- dify
- +4.5k (30d)
- quant-mind
- +578 (30d)
Open issues delta
- dify
- +172 (30d)
- quant-mind
- +3 (30d)
Full report
- dify
- Trust report
- quant-mind
- Trust report
Choose dify if…
- dify is primarily TypeScript; quant-mind is Python.
- License: dify is Other, quant-mind is MIT.
- Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow.
- Also covers AI Agents, Developer Tools.
- When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
When NOT to use dify
- If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool.
- When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites.
- If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.
Choose quant-mind if…
- quant-mind is primarily Python; dify is TypeScript.
- License: quant-mind is MIT, dify is Other.
- Tags unique to quant-mind: data, knowledge, llm, pipeline.
- Use QuantMind when you need specialized tools for quantitative finance that can handle complex knowledge extraction and retrieval processes efficiently.
When NOT to use quant-mind
- Avoid using QuantMind if your project does not involve quantitative finance, as its specific functionalities may offer limited value in non-finance areas.
- Do not use this framework if you do not require advanced knowledge extraction and retrieval mechanisms or prefer simpler tools without integration with the uv package manager.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langgenius/dify) · observed Sep 20, 2026
- GitHub forks (langgenius/dify) · observed Sep 20, 2026
- Last push (langgenius/dify) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (LLMQuant/quant-mind) · observed Sep 20, 2026
- GitHub forks (LLMQuant/quant-mind) · observed Sep 20, 2026
- Last push (LLMQuant/quant-mind) · observed Aug 15, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: dify 156k · quant-mind 3.0k (synced Sep 20, 2026).
Common questions
- What is the difference between dify and quant-mind?
- dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. quant-mind: Intelligent knowledge extraction and retrieval framework for quantitative finance. See the comparison table for live GitHub stats and shared categories.
- When should I choose dify over quant-mind?
- Choose dify over quant-mind when dify is primarily TypeScript; quant-mind is Python; License: dify is Other, quant-mind is MIT; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; Also covers AI Agents, Developer Tools; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
- When should I choose quant-mind over dify?
- Choose quant-mind over dify when quant-mind is primarily Python; dify is TypeScript; License: quant-mind is MIT, dify is Other; Tags unique to quant-mind: data, knowledge, llm, pipeline; Use QuantMind when you need specialized tools for quantitative finance that can handle complex knowledge extraction and retrieval processes efficiently.
- When should I avoid dify?
- If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.
- When should I avoid quant-mind?
- Avoid using QuantMind if your project does not involve quantitative finance, as its specific functionalities may offer limited value in non-finance areas. Do not use this framework if you do not require advanced knowledge extraction and retrieval mechanisms or prefer simpler tools without integration with the uv package manager.
- Is dify or quant-mind more popular on GitHub?
- dify has more GitHub stars (156,243 vs 2,964). Stars measure visibility, not whether either tool fits your constraints.
- Are dify and quant-mind open source?
- Yes - both are open-source projects on GitHub (dify: Other, quant-mind: MIT).
- Where can I find alternatives to dify or quant-mind?
- GraphCanon lists graph-backed alternatives at dify alternatives and quant-mind alternatives (dify markdown twin, quant-mind 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, dify or quant-mind?
- dify: Very active. quant-mind: 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 dify and quant-mind?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dify trust report; quant-mind trust report.