langflow vs dify

Common questions

What is the difference between langflow and dify?

langflow: A tool for building and deploying AI-powered agents and workflows. dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. See the comparison table for live GitHub stats and shared categories.

When should I choose langflow over dify?

Choose langflow over dify when langflow is primarily Python; dify is TypeScript; License: langflow is MIT, dify is Other; Langflow and dify are considered alternatives because both offer platforms to develop and deploy AI-powered workflows with support for visual authoring. While Langflow emphasizes integration capabilities through API/MCP server features targeting enterprise needs, Dify focuses on being production-ready and accessible with a no-code/low-code approach; Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models; When you need to develop AI agents and workflows that can integrate with large language models, as Langflow supports this integration directly.

When should I choose dify over langflow?

Choose dify over langflow when dify is primarily TypeScript; langflow is Python; License: dify is Other, langflow is MIT; Langflow and dify are considered alternatives because both offer platforms to develop and deploy AI-powered workflows with support for visual authoring. While Langflow emphasizes integration capabilities through API/MCP server features targeting enterprise needs, Dify focuses on being production-ready and accessible with a no-code/low-code approach; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; Also covers Data & Retrieval; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.

When should I avoid langflow?

If your project does not require the use of large language models or multiagent systems, as Langflow's strengths lie in these areas. When you are working in an environment that does not support Python 3.10–3.14, as Langflow requires this specific version range. If you are looking for a tool that does not require the use of the uv package manager, as Langflow recommends uv for installation and running.

When should I avoid dify?

If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.

Is langflow or dify more popular on GitHub?

dify has more GitHub stars (156,243 vs 154,963). Stars measure visibility, not whether either tool fits your constraints.

Are langflow and dify open source?

Yes - both are open-source projects on GitHub (langflow: MIT, dify: Other).

Where can I find alternatives to langflow or dify?

GraphCanon lists graph-backed alternatives at langflow alternatives and dify alternatives (langflow markdown twin, dify markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, langflow or dify?

langflow: Very active. dify: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for langflow and dify?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langflow trust report; dify trust report.