Dify vs Langflow

Dify and Langflow are both agent frameworks tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Dify

Open-source LLM app development platform combining AI workflow, RAG pipeline, agent capabilities, model management, observability features and more.

Langflow

Open-source visual builder for constructing AI agents and RAG applications via drag-and-drop interface with Python extensibility.

Attribute	Dify	Langflow
Pricing	Paid	Paid
Free trial	No	No
Open source	No	No
Has API	Yes	Yes
Self-hosted option	Yes	Yes
Platforms	Docker, Kubernetes, Linux, macOS, Windows	Linux, macOS, Windows (Desktop); Cloud-agnostic (AWS, Azure, Google Cloud, etc.)
Languages	English, Mandarin Chinese, and community translations	—
Released	2023	2023-02
Pros	Comprehensive all-in-one platform covering workflows, RAG, agents, and observability Visual drag-and-drop interface accessible to non-technical users Extensive LLM support including proprietary and open-source models Self-hosted option with Docker/Kubernetes deployment Backend-as-a-Service with built-in APIs for all applications	Fully open source (MIT license) with no vendor lock-in Visual builder reduces boilerplate while allowing full Python customization Extensive pre-built component library for major LLMs, databases, and APIs Deploy as API, MCP server, or JSON export for flexible integration Active development and enterprise backing (IBM/DataStax)
Cons	Restrictive open-source license prohibits developing competing services Multiple workspaces require Enterprise license in self-hosted mode Learning curve for advanced features and custom integrations	Requires infrastructure management and DevOps knowledge for production deployment Steeper learning curve than some competing low-code platforms for non-technical users Cost complexity due to dependency on external services (LLM APIs, cloud hosting, vector databases)

Bottom line

Dify and Langflow are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.