--- title: "dify vs pipelex" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langgenius-dify-vs-pipelex-pipelex" tools: ["langgenius-dify", "pipelex-pipelex"] --- # dify vs pipelex *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 pipelex if pipelex is an AI workflow tool using a declarative language for clear, composable workflows. [dify](https://dify.ai) reports 156k GitHub stars, 25k forks, and 1.1k open issues, last pushed Sep 18, 2026. [pipelex](https://pipelex.com) has 852 stars, 75 forks, and 23 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [dify's repository](https://github.com/langgenius/dify) and [pipelex's repository](https://github.com/Pipelex/pipelex). | | [dify](/tools/langgenius-dify.md) | [pipelex](/tools/pipelex-pipelex.md) | | --- | --- | --- | | Tagline | Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace. | Declarative language for composable Al workflows | | Stars | 156,243 | 852 | | Forks | 24,675 | 75 | | Open issues | 1,103 | 23 | | Language | TypeScript | Python | | 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. | Pipelex is an AI workflow tool using a declarative language for clear, composable workflows. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | 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) | [pipelex](/tools/pipelex-pipelex.md) | | --- | --- | --- | | Open issues (now) | 1.1k | 23 | | Stars delta | +4.5k (30d) | +140 (30d) | | Open issues delta | +172 (30d) | +7 (30d) | | Full report | [trust report](/tools/langgenius-dify/trust.md) | [trust report](/tools/pipelex-pipelex/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: pipelex - **Adopt for:** Pipelex is an AI workflow tool using a declarative language for clear, composable workflows. ## Choose when ### Choose dify if… - dify is primarily TypeScript; pipelex is Python. - License: dify is Other, pipelex is MIT. - 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 pipelex if… - pipelex is primarily Python; dify is TypeScript. - License: pipelex is MIT, dify is Other. - Tags unique to pipelex: agents, dsl, language, llm. - For projects needing human-readable workflows that machines can also execute easily ## 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 pipelex - When the project requires integration with languages other than Python - If non-declarative workflow descriptions align better with your team's existing processes ## Common questions ### What is the difference between dify and pipelex? dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. pipelex: Declarative language for composable Al workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose dify over pipelex? Choose dify over pipelex when dify is primarily TypeScript; pipelex is Python; License: dify is Other, pipelex is MIT; 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 pipelex over dify? Choose pipelex over dify when pipelex is primarily Python; dify is TypeScript; License: pipelex is MIT, dify is Other; Tags unique to pipelex: agents, dsl, language, llm; For projects needing human-readable workflows that machines can also execute easily. ### 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 pipelex? When the project requires integration with languages other than Python If non-declarative workflow descriptions align better with your team's existing processes ### Is dify or pipelex more popular on GitHub? dify has more GitHub stars (156,243 vs 852). Stars measure visibility, not whether either tool fits your constraints. ### Are dify and pipelex open source? Yes - both are open-source projects on GitHub (dify: Other, pipelex: MIT). ### Where can I find alternatives to dify or pipelex? GraphCanon lists graph-backed alternatives at [dify alternatives](/tools/langgenius-dify/alternatives) and [pipelex alternatives](/tools/pipelex-pipelex/alternatives) ([dify markdown twin](/tools/langgenius-dify/alternatives.md), [pipelex markdown twin](/tools/pipelex-pipelex/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-pipelex-pipelex.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dify or pipelex? dify: Very active. pipelex: 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 pipelex? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dify trust report](/tools/langgenius-dify/trust); [pipelex trust report](/tools/pipelex-pipelex/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/_