Langflow and Dify are both frameworks for building AI applications, with Langflow focusing on low-code deployment and Dify emphasizing workflow management. Langflow has a substantial lead in community support with 146,433 GitHub stars compared to Dify's 135,161. Both tools support RAG applications but differ in their integration capabilities and community engagement.
Best for
Langflow is the better choice when a small team is looking for a low-code framework to rapidly deploy AI applications with robust community support.
Best for
Dify is the better choice when a larger team needs to integrate autonomous agents across various platforms with subscription-based pricing and numerous integrations like Slack, Salesforce, and HubSpot.
Key Differences
Verdict
Both Langflow and Dify target the AI application development market, but their strengths lie in different areas. Langflow's appeal lies in ease of use for small to medium-sized teams, especially those valuing open-source community engagement. Dify, conversely, is better suited for larger enterprises requiring extensive integrations and more comprehensive workflow capabilities. Engineering leaders should select based on team size and integration needs.
Langflow
Langflow is a low-code AI builder for agentic and retrieval-augmented generation (RAG) apps. Code in Python and use any LLM or vector database.
I notice that you've mentioned social media mentions from YouTube about Langflow AI, but the actual content of those mentions isn't provided - just repeated titles "Langflow AI: Langflow AI". Additionally, the reviews section appears to be empty. Without the actual content of the reviews and social mentions, I cannot provide a meaningful summary of user sentiment regarding Langflow's strengths, complaints, pricing, or overall reputation. Could you please share the actual text content from these reviews and social media mentions?
Dify
Unlock agentic workflow with Dify. Develop, deploy, and manage autonomous agents, RAG pipelines, and more for teams at any scale, effortlessly.
Based on the limited data provided, there appears to be significant interest in Dify AI across multiple platforms, particularly on YouTube with several mentions. However, the social mentions don't contain substantive user feedback or reviews about Dify's actual functionality, pricing, or user experience. Without detailed user reviews or comprehensive social commentary, it's difficult to assess user sentiment regarding Dify's strengths, weaknesses, or overall reputation. More detailed user feedback would be needed to provide a meaningful summary of what users actually think about the platform.
Langflow
Not enough dataDify
Stable week-over-weekLangflow
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Pricing found: $590, $59, $590, $159, $590
Dify (10)
Only in Langflow (8)
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No complaints found
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Launch HN: OctaPulse (YC W26) – Robotics and computer vision for fish farming
Hi HN! My name is Rohan and, together with Paul, I’m the co-founder of OctaPulse (<a href="https://www.tryoctapulse.com/">https://www.tryoctapulse.com/</a>). We’re building a robotics layer for seafood production, starting with automated fish inspection. We are currentl
Only in Langflow (5)
Only in Dify (5)
Langflow is better for quickly deploying RAG apps, while Dify excels in complex workflows and data integration.
Langflow uses a tiered pricing model without explicit costs, while Dify offers tiered subscriptions starting at $59.
Langflow has better community support with over 146,000 GitHub stars, indicating greater community engagement.
Potentially, if workflows require both low-code deployment and sophisticated integration capabilities, though specific integration paths depend on team requirements.
Langflow is generally easier to get started with due to its low-code nature, making it accessible for teams with less programming expertise.
