Dify vs n8n
Spec-Driven
An agentic workflow builder platform for developing, deploying, and managing autonomous agents, RAG pipelines, and AI applications at scale.
Agent-Assisted
An AI-powered workflow automation platform that enables users to build, deploy, and manage complex automation workflows without extensive coding.
Summary
- Dify scores 4.0/5 and n8n scores 3.9/5 on the Dark Factory Score, a difference of 0.1.
- The widest gap is Integration: Dify 4.0, n8n 4.8.
- Dify scores higher on self-correction and project complexity.
- n8n scores higher on integration.
- They score the same on autonomy and code quality.
- Both are listed as freemium.
- Both are listed under Orchestration and Full-Stack Agents.
Dimension by dimension
| Dimension | Weight | Dify | n8n |
|---|---|---|---|
| Autonomy | 28% | 4.2 | 4.2 |
| Code Quality | 20% | 3.5 | 3.5 |
| Integration | 17% | 4.0 | 4.8 |
| Self-Correction | 15% | 3.8 | 3.0 |
| Project Complexity | 20% | 4.3 | 4.0 |
| Dark Factory Score | 4.0 | 3.9 |
Why Dify scores 4.0
Dify excels as an agentic workflow builder platform designed for enterprise-scale AI application development. Its visual workflow orchestration capabilities enable high autonomy in multi-step task execution, particularly for RAG pipelines and autonomous agents. The platform's focus on deployment and management at scale demonstrates strong integration capabilities with enterprise systems, though specific CI/CD and Git integration details aren't fully evident from the available information. The self-correction capabilities appear robust given its agentic nature, with built-in error handling and iteration mechanisms typical of workflow orchestration platforms. Dify's strength lies in handling complex, multi-service applications and distributed AI systems rather than simple scripts or single features. The platform is specifically designed for full-stack agent development and deployment, making it highly effective for Tier 4 (full applications) and reasonably capable for Tier 5 (distributed systems). However, it may be overkill for simple scripting tasks. The code quality scoring reflects that while Dify facilitates production-grade deployments, the actual code generation quality depends on the underlying models and templates used within the platform.
Scored by Claude AI — last evaluated February 27, 2026
Why n8n scores 3.9
n8n excels as a workflow automation platform with strong autonomous capabilities for multi-step task execution through its visual workflow builder. It can orchestrate complex sequences of operations across multiple services and APIs without requiring extensive manual intervention. The integration capabilities are exceptional, with hundreds of pre-built connectors for popular services, APIs, and development tools including Git, CI/CD systems, and deployment platforms. This makes it particularly powerful for DevOps automation and connecting disparate systems. The platform performs well across different project scales, with particularly strong performance on script-level automation and feature-level integrations. While it can handle module and application-level orchestration effectively, it becomes less optimal for complex distributed systems where custom logic and fine-grained control are critical. Code quality capabilities are moderate since n8n focuses more on workflow orchestration than code generation, though it can integrate with code quality tools. Self-correction is present through error handling and retry mechanisms in workflows, but it's not as sophisticated as AI coding assistants that can analyze and fix code errors automatically.
Scored by Claude AI — last evaluated February 27, 2026
More comparisons
Generated from Dark Factory Score data. How the score works. Comparing three or more tools at once is part of Pro.