Dify vs Haystack

A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.

Short answer: choose Dify if you want open-source platform for building llm apps and agentic workflows (Supervised agent, freemium); choose Haystack if you want open-source python framework for production rag, search, and agents (Supervised agent, freemium).

DifyHaystack
What it isOpen-source platform for building LLM apps and agentic workflowsOpen-source Python framework for production RAG, search, and agents
Typeplatformframework
AutonomySupervised agentSupervised agent
Pricingfreemium · Self-host free; Dify Cloud has a free sandbox planfreemium
Best fordevelopers, smb, mid-marketdevelopers, enterprise
Deploymentself-hosted, saas, on-premself-hosted, api
Modalitiestext, apitext, code, api, image
Modelsmodel-agnostic, open-sourcemodel-agnostic, open-source
Protocolsfunction-calling, rest-api, mcpfunction-calling, mcp, rest-api
IntegrationsOpenAI, Anthropic, Mistral, Llama, Kubernetes, DockerOpenAI, Anthropic, Hugging Face, Ollama, Qdrant, Weaviate
Capabilities4 documented4 documented

Dify

  • +Open source and self-hostable (Docker, Kubernetes) with no vendor lock-in
  • +Combines workflows, RAG, agents, model management, and observability in one stack
  • +Broad model support including any OpenAI-API-compatible endpoint
  • -A building platform: you design and operate the apps and their guardrails
  • -Self-hosting at scale requires infrastructure expertise
Full Dify profile

Haystack

  • +Mature, explicit, production-oriented architecture with deep RAG and search heritage
  • +Broad integrations and an Apache-2.0 license, free to self-host
  • +Backed by an established vendor (deepset) with an enterprise tier
  • -Python-only
  • -The component and pipeline model has a learning curve versus lighter agent SDKs
Full Haystack profile

Which should you choose?

Dify is open-source platform for building llm apps and agentic workflows, best for developers, smb, mid-market. Haystack is open-source python framework for production rag, search, and agents, best for developers, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.