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Head-to-head · LLM Application Development Frameworks

Apache Burr vs Langflow

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Apache Burr #6 in LLM Application Development Frameworks 8.8/10 Free plan Free plan✓ 3 of 5 features Visit Apache Burr
Langflow #7 in LLM Application Development Frameworks 8.7/10 Free plan Free plan✓ 0 of 5 features Visit Langflow

Apache Burr leads on 3 checks, Langflow on 0, and 2 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache Burr · 8.8/10
  • Free planboth
  • Most featuresApache Burr · 3 of 5

Apache Burr scores higher on our rubric for llm application development frameworks: 8.8 against 8.7 out of 10; our editors rank them #6 and #7.

Apache Burr offers rag support; Langflow doesn't publish it. Apache Burr offers agent and tool use; Langflow doesn't publish it. Apache Burr offers workflow graphs; Langflow doesn't publish it.

Apache Burr is the better fit for stateful, inspectable workflow applications. Langflow is the better fit for visual prototyping and deployment of AI flows.

  • Apache Burr fits best

    Stateful, inspectable workflow applications

  • Langflow fits best

    Visual prototyping and deployment of AI flows

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Side by side

Feature Apache Burr 8.8/10 Visit ↗ Langflow 8.7/10 Visit ↗
At a glance
Editor score 8.8 8.7
Ranking #6 in LLM Application Development Frameworks #7 in LLM Application Development Frameworks
Best for Stateful, inspectable workflow applications Visual prototyping and deployment of AI flows
Pricing model Free Free
Starting price Not published Not published
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Cloud, Self-hosted, Desktop
Platforms Linux, macOS, Windows Web, Windows, macOS, Linux
Support Community, Docs Community, Docs
Integrations 15 integrations 12 integrations
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Apache Burr 3/5 · Langflow 0/5
RAG support ✓ (best) Not published
Agent and tool use ✓ (best) Not published
Workflow graphs ✓ (best) Not published
Prompt optimization Not published Not published
JavaScript/TypeScript SDK — Not published
Specs
Primary language Python Not published
Open-source license Apache-2.0 Not published
Our review
Pros
  • Immutable state, persistence, and resumable human-input pauses
  • Parallel actions and branches support complex workflows
  • Burr UI exposes execution telemetry for inspection and debugging
  • Connect models, tools, components, and outputs in a visual flow builder
  • Build multi-agent and RAG workflows with human approval steps
  • Deploy through APIs, Docker, Kubernetes, cloud, self-hosting, or desktop
Cons
  • Python-focused; no official JavaScript or TypeScript SDK is identified
  • Requires developers to implement LLM calls within actions
  • Fewer ready-made model integrations and agent capabilities than some alternatives
  • Voice mode is not available in Langflow Desktop
  • Provider integrations are delivered through installable extensions
  • Support channels are community and documentation
Our verdict

Apache Burr is an open-source Python framework for building applications from actions, transitions, and explicit state. It is aimed at developers orchestrating chatbots, agents, conversational retrieval workflows, and other applications…

Read the review →

Langflow is an open-source, Python-powered framework for building, testing, and deploying AI agents and LLM applications. Its visual flow builder connects models, components, tools, and outputs, making it relevant to developers and teams…

Read the review →
  1. Apache BurrLLM Application Development Frameworks 8.8Free plan
  2. LangflowLLM Application Development Frameworks 8.7Free plan

Strengths and trade-offs

  • Apache Burr — where it wins

    • Immutable state, persistence, and resumable human-input pauses
    • Parallel actions and branches support complex workflows
    • Burr UI exposes execution telemetry for inspection and debugging

    Where it doesn't

    • Python-focused; no official JavaScript or TypeScript SDK is identified
    • Requires developers to implement LLM calls within actions
    • Fewer ready-made model integrations and agent capabilities than some alternatives

  • Langflow — where it wins

    • Connect models, tools, components, and outputs in a visual flow builder
    • Build multi-agent and RAG workflows with human approval steps
    • Deploy through APIs, Docker, Kubernetes, cloud, self-hosting, or desktop

    Where it doesn't

    • Voice mode is not available in Langflow Desktop
    • Provider integrations are delivered through installable extensions
    • Support channels are community and documentation

More comparisons

All LLM application development frameworks comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update