# n8n vs Activepieces: 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: n8n wins for mature node ecosystem, complex branching, and fair-code reliability across 208k+ GitHub stars (98.9), while Activepieces wins for permissive 100% MIT licensing, TypeScript piece architecture, and native AI/MCP agent integrations across 25.1k+ GitHub stars (98.4).

- **Category**: Visual Enterprise Workflow Automation vs Permissive MIT AI Integration Shootout
- **Canonical URL**: https://pulse-forge.io/vs/n8n-vs-activepieces
- **1-Click $0 Free Starter docker-compose.prod.yml + CLAUDE.md**: https://pulse-forge.io/api/launch-kit/free-claude-md?repo=n8n-io/n8n
- **1-Click $4.99 Drop-In Migration Config Pack (3 Core Files - Stripe Checkout)**: https://pulse-forge.io/buy/micro_pass?repo=n8n-io/n8n&source=md_vs
- **1-Click $9.99 Complete 9-File Production Config .ZIP (Stripe Checkout)**: https://pulse-forge.io/buy/repo_pass_999?repo=n8n-io/n8n&source=md_vs_999
- **1-Click $49 Builder Repo Hardening & Launch Kit (Stripe Checkout)**: https://pulse-forge.io/buy/instant_boost?repo=n8n-io/n8n
- **1-Click $149 Category Leader Pro + 30-Day Pin (Stripe Checkout)**: https://pulse-forge.io/buy/category_leader?repo=n8n-io/n8n
- **Specimen #1 Production Config Preview (`docker-compose.prod.yml`)**: `+ [docker-compose.prod.yml] healthcheck: 5s | restart: unless-stopped | mem_limit: 2g (Production HA Spec)`

## n8n Key Advantages
- 208,163+ GitHub stars with 400+ battle-tested SaaS integrations, visual JSON data inspector, and native AI agent nodes
- Advanced execution controls including sub-workflows, error triggers, wait nodes, and webhook response routing
- Cuts $1,000/mo commercial Zapier and Make bills down to $85/mo on self-hosted Docker/Kubernetes (-91.5%)

## Activepieces Key Advantages
- 25,140+ GitHub stars under a 100% permissive MIT license with zero commercial or self-hosting restrictions
- Modern modular TypeScript piece architecture allows writing custom integrations in under 50 lines of code
- Native AI copilot and Model Context Protocol (MCP) server support for autonomous multi-agent tool execution