LangflowvsDSPy

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Langflow

Automation Platforms

Visual framework for building multi-agent AI apps

DSPy

Developer Tools

Programming framework for LLMs — optimize prompts with code, not strings

FeatureLangflowDSPy
CategoryAutomation PlatformsDeveloper Tools
PricingFree (open-source) + CloudFree (open-source)
GitHub Stars
More stars
35k
22k
PlatformsLinux, macOS, Windows, Docker, Web
Key Features
  • Visual builder
  • Drag-and-drop
  • Component library
  • API export
  • Multi-model
    Pros
    • + Intuitive visual builder
    • + LangChain ecosystem integration
    • + Easy prototyping
    • + Export as Python code
    • + Growing component library
    • + Systematic prompt optimization
    • + Composable and testable LLM programs
    • + Works with any LLM provider
    • + Backed by Stanford NLP
    Cons
    • Tied to LangChain ecosystem
    • Limited for very custom logic
    • Can be slow for complex flows
    • Still maturing
    • Steep learning curve
    • Different paradigm from traditional prompting
    Tags
    no-codevisuallangchainopen-source

    Want to compare different tools?

    ← Back to compare picker

    Related Comparisons