Dify score factors
Editorial quality82
Practical utility84
Trust & transparency82
Freshness87
Engagement quality5
Momentum100
Decision guide · Reviewed Sep 8, 2026 · AI Agent & Chatbot Builders, Agent Platforms & Frameworks
Dify
78
Langflow
78.9Choose Dify when you need engineering and platform teams that want a self-hostable LLM app builder with retrieval and workflows. Choose Langflow when you need engineers and technical teams seeking a visual yet code-extensible canvas to build, evaluate, and deploy agentic RAG systems..
At a glance
The practical differences
| Decision factor | Dify | Langflow |
|---|---|---|
| Best for | engineering and platform teams that want a self-hostable LLM app builder with retrieval and workflows | engineers and technical teams seeking a visual yet code-extensible canvas to build, evaluate, and deploy agentic RAG systems. |
| Not ideal for | non-technical teams that need a turnkey chatbot with no infrastructure decisions | non-technical marketers looking for a no-code plug-and-play chatbot builder without understanding data pipelines or APIs. |
| Pricing | The open-source edition can be self-hosted; the cloud service has a free sandbox and paid Professional and Team plans at the review date. Model usage is billed separately by your provider. Check the official pricing page for current tiers. | As of September 2026, Langflow offers open-source self-hosting and a free cloud account option, alongside paid Professional Services and Premier Support. Specific commercial tier pricing is not published on the main page, so check the official website for current terms. |
| Key difference | A capable open-source LLM app platform that you can self-host, combining workflows, retrieval, and agents with observability and model flexibility. | Unlike closed-box builder tools, Langflow exposes full Python code under every component and allows developers to convert entire visual flows into callable APIs or MCP servers. |
| Overall rank | #67 | #49 |
| Review verdict | Best for engineering teams that want ownership over hosting and models while keeping a visual builder. Teams without operations capacity should weigh the cloud plan or a fully managed builder. | Langflow suits software engineers and AI developers who want to prototype and deploy RAG flows and autonomous agent teams rapidly without losing code-level control. It is less suited for non-technical business users seeking turnkey chatbot widgets with zero configuration. |
Langflow score factors
Editorial quality82
Practical utility88
Trust & transparency82
Freshness88
Engagement quality3
Momentum100
Dify strengths
- Open source and self-hostable
- Model-provider flexibility
- Workflows, retrieval, and agents together
- Active community
Langflow strengths
- Open-source core allows self-hosting on local hardware or private cloud
- Exposes underlying Python scripts for custom component engineering
- Broad ecosystem integrations across leading vector databases and foundation models
- Converts authored flows directly into executable API endpoints
Frequently asked
Dify vs Langflow
Should I choose Dify or Langflow?+
Choose Dify when you need engineering and platform teams that want a self-hostable LLM app builder with retrieval and workflows. Choose Langflow when you need engineers and technical teams seeking a visual yet code-extensible canvas to build, evaluate, and deploy agentic RAG systems.. ToolsRank scores Dify 78 and Langflow 78.9; the gap reflects editorial quality, utility, trust, and freshness, not popularity or payment.
Is Dify cheaper than Langflow?+
Dify: The open-source edition can be self-hosted; the cloud service has a free sandbox and paid Professional and Team plans at the review date. Model usage is billed separately by your provider. Check the official pricing page for current tiers. Langflow: As of September 2026, Langflow offers open-source self-hosting and a free cloud account option, alongside paid Professional Services and Premier Support. Specific commercial tier pricing is not published on the main page, so check the official website for current terms. Compare the plan you would actually use and verify current prices on each vendor's pricing page before purchasing.
Which is better for ai agent & chatbot builders?+
Langflow currently scores higher for ai agent & chatbot builders work. Dify remains the stronger pick when your priority is engineering and platform teams that want a self-hostable LLM app builder with retrieval and workflows. Avoid Langflow if you are non-technical marketers looking for a no-code plug-and-play chatbot builder without understanding data pipelines or APIs..
Can I use Dify and Langflow together?+
Yes. Dify stands out for a capable open-source LLM app platform that you can self-host, combining workflows, retrieval, and agents with observability and model flexibility. Langflow stands out for unlike closed-box builder tools, Langflow exposes full Python code under every component and allows developers to convert entire visual flows into callable APIs or MCP servers. Pairing them makes sense when one workflow needs both strengths; otherwise pick the tool that matches your primary job.