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Dify vs Langflow

Bottom line

Langflow is open source and Dify is not.

Which one should you try?

Dify

Freemium

Best for Teams building RAG, chatbot or agent apps with a visual builder

Langflow

Freemium

Best for Data scientists and ML engineers building production AI systems

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Dify

Dify

LLM app platform with visual workflows, RAG, agents and app APIs. Free Sandbox and self-hosted Community edition.

Langflow

Langflow

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

AttributeDifyLangflow
PricingFreemiumFreemium
PriceFree Sandbox; Professional $590/workspace/year; Team $1,590/workspace/year (annual billing)Free (MIT, self-hosted or Langflow Desktop); free cloud account
Pricing checkedOct 17, 2026Oct 19, 2026
Free trialNot statedNot stated
Open sourceNoYes
Has APIYesYes
Self-hosted optionYesYes
PlatformsDify Cloud (web); self-hosted with Docker Compose (min. 2 CPU cores, 4 GiB RAM)Linux, macOS, Windows (Desktop); Cloud-agnostic (AWS, Azure, Google Cloud, etc.)
Released—2023-02
Pros
  • Workflows, RAG, agents and logging in one platform, with an API for every app.
  • Connects to many model providers, including any OpenAI-compatible endpoint.
  • Free self-hosted Community edition via Docker Compose, alongside hosted Dify Cloud.
  • 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
  • The modified Apache 2.0 license requires authorization for multi-tenant services and bars removing frontend branding.
  • Multiple workspaces and commercial license authorization are Enterprise features.
  • Model API usage is billed by providers once included cloud credits run out.
  • 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)

Made up your mind?

Dify

Freemium

Best for Teams building RAG, chatbot or agent apps with a visual builder

Langflow

Freemium

Best for Data scientists and ML engineers building production AI systems

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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