Comparison
langchain vs dify
Verdict
Pick langchain if langChain is a Python framework for building agents and LLM-powered applications, offering interoperable components and third-party integrations to simplify AI application development; 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.
Markdown twin · langchain alternatives · dify alternatives
GraphCanon updated Oct 4, 2026
22views this month
vs
Trust & integrity
| Signal | langchain | dify |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 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 Sep 18, 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 Oct 4, 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
- langchain
- The agent engineering platform.
- dify
- Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.
Stars
- langchain
- 147k
- dify
- 156k
Forks
- langchain
- 25k
- dify
- 25k
Open issues
- langchain
- 541
- dify
- 1.1k
Language
- langchain
- Python
- dify
- TypeScript
Adopt for
- langchain
- LangChain is a Python framework for building agents and LLM-powered applications, offering interoperable components and third-party integrations to simplify AI application development.
- 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.
Persona
- langchain
- -
- dify
- -
Runtime
- langchain
- -
- dify
- -
License
- langchain
- MIT
- dify
- Other
Last pushed
- langchain
- Sep 18, 2026
- dify
- Sep 18, 2026
Categories
- langchain
- AI Agents, LLM Frameworks
- dify
- AI Agents, Data & Retrieval, Developer Tools
Trust and health
Open issues (now)
- langchain
- 541
- dify
- 1.1k
Stars delta
- langchain
- +3.0k (30d)
- dify
- +4.5k (30d)
Open issues delta
- langchain
- +78 (30d)
- dify
- +172 (30d)
Full report
- langchain
- Trust report
- dify
- Trust report
Typed relationship
langchain alternative difyLangChain is another platform designed to engineer agents, making it an alternative to Dify which also focuses on agent workflows and development.
Choose langchain if…
- langchain is primarily Python; dify is TypeScript.
- License: langchain is MIT, dify is Other.
- LangChain is another platform designed to engineer agents, making it an alternative to Dify which also focuses on agent workflows and development.
- Tags unique to langchain: agents, ai-agents, framework, langchain.
- Also covers LLM Frameworks.
- When you need a framework that simplifies chaining together interoperable components and third-party integrations for AI application development.
When NOT to use langchain
- If you prefer a framework that does not offer built-in capabilities for common usage patterns such as planning and subagents, as LangChain's Deep Agents provide these features.
- When you need a higher-level abstraction that does not require detailed agent orchestration, as LangChain's LangGraph is designed for low-level control over agent workflows.
Choose dify if…
- dify is primarily TypeScript; langchain is Python.
- License: dify is Other, langchain is MIT.
- LangChain is another platform designed to engineer agents, making it an alternative to Dify which also focuses on agent workflows and development.
- Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow.
- Also covers Data & Retrieval, 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langchain-ai/langchain) · observed Sep 20, 2026
- GitHub forks (langchain-ai/langchain) · observed Sep 20, 2026
- Last push (langchain-ai/langchain) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- 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 on cards: langchain 147k · dify 156k (synced Sep 20, 2026).
Common questions
- What is the difference between langchain and dify?
- langchain: The agent engineering platform.. dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain over dify?
- Choose langchain over dify when langchain is primarily Python; dify is TypeScript; License: langchain is MIT, dify is Other; LangChain is another platform designed to engineer agents, making it an alternative to Dify which also focuses on agent workflows and development; Tags unique to langchain: agents, ai-agents, framework, langchain; Also covers LLM Frameworks; When you need a framework that simplifies chaining together interoperable components and third-party integrations for AI application development.
- When should I choose dify over langchain?
- Choose dify over langchain when dify is primarily TypeScript; langchain is Python; License: dify is Other, langchain is MIT; LangChain is another platform designed to engineer agents, making it an alternative to Dify which also focuses on agent workflows and development; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; Also covers Data & Retrieval, 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 avoid langchain?
- If you prefer a framework that does not offer built-in capabilities for common usage patterns such as planning and subagents, as LangChain's Deep Agents provide these features. When you need a higher-level abstraction that does not require detailed agent orchestration, as LangChain's LangGraph is designed for low-level control over agent workflows.
- 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.
- Is langchain or dify more popular on GitHub?
- dify has more GitHub stars (156,243 vs 146,576). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain and dify open source?
- Yes - both are open-source projects on GitHub (langchain: MIT, dify: Other).
- Where can I find alternatives to langchain or dify?
- GraphCanon lists graph-backed alternatives at langchain alternatives and dify alternatives (langchain markdown twin, dify 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, langchain or dify?
- langchain: Very active. dify: Very 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 langchain and dify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain trust report; dify trust report.