Comparison
dify vs LEANN
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 LEANN if lEANN is a retrieval-augmented generation (RAG) application that provides substantial storage savings and ensures privacy. It supports various models such as ColQwen2 and ColPali, making it easy to integrate into.
Markdown twin · dify alternatives · LEANN alternatives
GraphCanon updated Oct 4, 2026
9views this month
Trust & integrity
| Signal | dify | LEANN |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Active (17d since push) As of Aug 18, 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 Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Oct 4, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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.
- LEANN
- RAG on Everything with LEANN
Stars
- dify
- 156k
- LEANN
- 13k
Forks
- dify
- 25k
- LEANN
- 1.1k
Open issues
- dify
- 1.1k
- LEANN
- 45
Language
- dify
- TypeScript
- LEANN
- 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.
- LEANN
- LEANN is a retrieval-augmented generation (RAG) application that provides substantial storage savings and ensures privacy. It supports various models such as ColQwen2 and ColPali, making it easy to integrate into Python,
Persona
- dify
- -
- LEANN
- -
Runtime
- dify
- -
- LEANN
- -
License
- dify
- Other
- LEANN
- MIT
Last pushed
- dify
- Sep 18, 2026
- LEANN
- Jul 31, 2026
Categories
- dify
- AI Agents, Data & Retrieval, Developer Tools
- LEANN
- Data & Retrieval, Developer Tools
Trust and health
Maintenance
- dify
- Very active (96%)
- LEANN
- Active (82%)
Days since push
- dify
- 0d
- LEANN
- 17d
Open issues (now)
- dify
- 1.1k
- LEANN
- 45
Stars delta
- dify
- +4.5k (30d)
- LEANN
- +81 (30d)
Open issues delta
- dify
- +172 (30d)
- LEANN
- 0 (30d)
Full report
- dify
- Trust report
- LEANN
- Trust report
Choose dify if…
- dify is primarily TypeScript; LEANN is Python.
- License: dify is Other, LEANN is MIT.
- Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow.
- Also covers AI Agents.
- 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 LEANN if…
- LEANN is primarily Python; dify is TypeScript.
- License: LEANN is MIT, dify is Other.
- Tags unique to LEANN: faiss, gpt-oss, langchain, llama-index.
- When you need significant storage savings, LEANN offers up to 97% reduction compared to other solutions.
When NOT to use LEANN
- Avoid using LEANN if you have strict hardware limitations since it requires the installation of both Python and C++ dependencies.
- LEANN may not be suitable for users who prefer tools that do not demand manual setup of vector databases or models like Ollama and ColQwen2.
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 Oct 4, 2026
- GitHub stars (StarTrail-org/LEANN) · observed Sep 20, 2026
- GitHub forks (StarTrail-org/LEANN) · observed Sep 20, 2026
- Last push (StarTrail-org/LEANN) · observed Jul 31, 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 on cards: dify 156k · LEANN 13k (synced Sep 20, 2026).
Common questions
- What is the difference between dify and LEANN?
- dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. LEANN: RAG on Everything with LEANN. See the comparison table for live GitHub stats and shared categories.
- When should I choose dify over LEANN?
- Choose dify over LEANN when dify is primarily TypeScript; LEANN is Python; License: dify is Other, LEANN is MIT; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; Also covers AI Agents; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
- When should I choose LEANN over dify?
- Choose LEANN over dify when LEANN is primarily Python; dify is TypeScript; License: LEANN is MIT, dify is Other; Tags unique to LEANN: faiss, gpt-oss, langchain, llama-index; When you need significant storage savings, LEANN offers up to 97% reduction compared to other solutions.
- 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 LEANN?
- Avoid using LEANN if you have strict hardware limitations since it requires the installation of both Python and C++ dependencies. LEANN may not be suitable for users who prefer tools that do not demand manual setup of vector databases or models like Ollama and ColQwen2.
- Is dify or LEANN more popular on GitHub?
- dify has more GitHub stars (156,243 vs 12,785). Stars measure visibility, not whether either tool fits your constraints.
- Are dify and LEANN open source?
- Yes - both are open-source projects on GitHub (dify: Other, LEANN: MIT).
- Where can I find alternatives to dify or LEANN?
- GraphCanon lists graph-backed alternatives at dify alternatives and LEANN alternatives (dify markdown twin, LEANN 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 LEANN?
- dify: Very active. LEANN: Active. 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 LEANN?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dify trust report; LEANN trust report.