--- title: "dify vs flow-like" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langgenius-dify-vs-rheosoph-flow-like" tools: ["langgenius-dify", "rheosoph-flow-like"] --- # dify vs flow-like *GraphCanon updated Sep 20, 2026* ## Verdict Pick dify if dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments; pick flow-like if flow-Like offers scalable workflows with strong Rust language integration and customization options, ideal for enterprises looking to implement AI-driven processes at scale. [dify](https://dify.ai) reports 156k GitHub stars, 25k forks, and 1.1k open issues, last pushed Sep 18, 2026. [flow-like](https://flow-like.com) has 954 stars, 78 forks, and 106 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [dify's repository](https://github.com/langgenius/dify) and [flow-like's repository](https://github.com/Rheosoph/flow-like). | | [dify](/tools/langgenius-dify.md) | [flow-like](/tools/rheosoph-flow-like.md) | | --- | --- | --- | | Tagline | Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace. | Strongly Typed Enterprise Scale Workflows | | Stars | 156,243 | 954 | | Forks | 24,675 | 78 | | Open issues | 1,103 | 106 | | Language | TypeScript | Rust | | Adopt for | Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments. | Flow-Like offers scalable workflows with strong Rust language integration and customization options, ideal for enterprises looking to implement AI-driven processes at scale. | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | AI Agents, Data & Retrieval, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dify](/tools/langgenius-dify.md) | [flow-like](/tools/rheosoph-flow-like.md) | | --- | --- | --- | | Open issues (now) | 1.1k | 106 | | Stars delta | +4.5k (30d) | +22 (30d) | | Open issues delta | +172 (30d) | -9 (30d) | | Full report | [trust report](/tools/langgenius-dify/trust.md) | [trust report](/tools/rheosoph-flow-like/trust.md) | ## Decision facts: dify - **Adopt for:** Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments. ## Decision facts: flow-like - **Adopt for:** Flow-Like offers scalable workflows with strong Rust language integration and customization options, ideal for enterprises looking to implement AI-driven processes at scale. ## Choose when ### Choose dify if… - dify is primarily TypeScript; flow-like is Rust. - 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. ### Choose flow-like if… - flow-like is primarily Rust; dify is TypeScript. - Tags unique to flow-like: agents, apis, data-flow, llm. - - When you need enterprise-grade scalability with rapid workflow execution ## When NOT to use 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. ## When NOT to use flow-like - - Not recommended if your preferred programming language is not Rust, as it is built with strong Rust dependencies - - If you are seeking a low-code or no-code solution, Flow-Like may require significant code customization which might be less suitable for non-developer users ## Common questions ### What is the difference between dify and flow-like? dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. flow-like: Strongly Typed Enterprise Scale Workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose dify over flow-like? Choose dify over flow-like when dify is primarily TypeScript; flow-like is Rust; 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 choose flow-like over dify? Choose flow-like over dify when flow-like is primarily Rust; dify is TypeScript; Tags unique to flow-like: agents, apis, data-flow, llm; - When you need enterprise-grade scalability with rapid workflow execution. ### 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. ### When should I avoid flow-like? - Not recommended if your preferred programming language is not Rust, as it is built with strong Rust dependencies - If you are seeking a low-code or no-code solution, Flow-Like may require significant code customization which might be less suitable for non-developer users ### Is dify or flow-like more popular on GitHub? dify has more GitHub stars (156,243 vs 954). Stars measure visibility, not whether either tool fits your constraints. ### Are dify and flow-like open source? Yes - both are open-source projects on GitHub (dify: Other, flow-like: Other). ### Where can I find alternatives to dify or flow-like? GraphCanon lists graph-backed alternatives at [dify alternatives](/tools/langgenius-dify/alternatives) and [flow-like alternatives](/tools/rheosoph-flow-like/alternatives) ([dify markdown twin](/tools/langgenius-dify/alternatives.md), [flow-like markdown twin](/tools/rheosoph-flow-like/alternatives.md)), 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](/compare/langgenius-dify-vs-rheosoph-flow-like.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dify or flow-like? dify: Very active. flow-like: 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 dify and flow-like? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dify trust report](/tools/langgenius-dify/trust); [flow-like trust report](/tools/rheosoph-flow-like/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langgenius-dify`](/api/graphcanon/graph?tool=langgenius-dify) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_