Dify vs Langflow vs Flowise: which to choose for LLM apps

All three let you build LLM applications visually, on your own server, with no subscriptions. They differ in how much of the road from idea to product they cover.

In short

Criterion	Dify	Langflow	Flowise
Type	Complete platform	Visual flow IDE	Drag & drop builder
Strength	Ready-to-ship product	Fast prototyping	Simplicity
Minimum resources	2 vCPU, 4 GB RAM	2 GB RAM	1-2 GB RAM
Default port	80	7860	3000

Dify: when you want a product, not a prototype

Dify adds the things you need to put an app in front of users: user management, a prompt studio, conversation monitoring, datasets for RAG and ready-made APIs. It is the most complete, but also the heaviest.

Langflow: when you are experimenting

Langflow is a visual IDE for flows: you connect components, test quickly and export as an API. Ideal while you are still trying variants and want fine control over each step.

Flowise: when you want simple and light

Flowise is the most approachable of the three and runs well even on small plans. Good for chatbots and simple flows, without the complexity of the others.

How to choose

• You want to launch a customer assistant: Dify.
• You want to prototype a RAG flow fast: Langflow.
• You want a simple chatbot on few resources: Flowise.

All three install with one click from the catalog: Dify, Langflow, Flowise. You can test them one by one with hourly billing and keep only the one you like. For locally run models, see Ollama.