Question 1

Is Rasa better than Dify?

Accepted Answer

It depends on your use case. Rasa is known for Open-source framework for building conversational AI, while Dify Open-source platform for building LLM applications visually. See our full comparison above for a detailed breakdown.

Question 2

Is Rasa free?

Accepted Answer

Rasa pricing: Free (open-source) + Enterprise.

Question 3

Is Dify free?

Accepted Answer

Dify pricing: Free + Cloud plans.

Question 4

What are the main differences between Rasa and Dify?

Accepted Answer

Rasa and Dify differ in features, pricing, and platform support. Rasa: Open-source framework for building conversational AI. Dify: Open-source platform for building LLM applications visually. See the full side-by-side comparison above for details.

Feature	Rasa	Dify
Category	Chatbot Builders	Automation Platforms
Pricing	Free (open-source) + Enterprise	Free + Cloud plans
GitHub Stars	19k	✓ More stars 60k
Platforms	Linux, macOS, Docker	macOS, Linux, Windows, Docker
Key Features	✓ NLU ✓ Dialogue management ✓ Custom actions ✓ Multi-channel ✓ On-premise	✓ Visual builder ✓ RAG engine ✓ Agent framework ✓ Workflow orchestration ✓ Multi-model ✓ API-first
Pros	+ Full control and customization + On-premise deployment + Production-grade reliability + Strong NLU engine + Open-source core	+ Beautiful visual interface + Built-in RAG pipeline + Prompt engineering studio + Self-hostable + Multi-model support
Cons	− Steep learning curve − Requires ML knowledge − Resource intensive − Enterprise features are paid	− Newer platform, still maturing − Can be complex to self-host − Limited advanced customization − Cloud pricing can add up
Tags	conversationalnlpopen-sourceenterprise	open-sourcelow-coderagagentsenterprise

RasavsDify

Rasa

Dify

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