awesome-n8n-templates and awesome-workflow-automation

One project provides a collection of ready-to-use n8n workflow templates, while the other is a broader curated list of workflow automation software, making them ecosystem siblings where the first is a specific resource within the domain covered by the second.

Maintenance 20/25
Adoption 10/25
Maturity 15/25
Community 25/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 20,050
Forks: 5,652
Downloads:
Commits (30d): 8
Language:
License:
Stars: 856
Forks: 125
Downloads:
Commits (30d): 0
Language:
License: MIT
No Package No Dependents
No Package No Dependents

About awesome-n8n-templates

enescingoz/awesome-n8n-templates

280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, OpenAI, and more. AI agents, RAG chatbots, email automation, social media, DevOps, and document processing. The largest open-source n8n template collection.

Templates are imported as JSON workflow files directly into n8n's visual editor, leveraging the platform's node-based architecture to connect disparate APIs without custom code. The collection spans 18 categories organized by use case and integration type, enabling users to quickly assemble multi-step automations combining triggers (webhooks, schedules, polling), data transformation, and actions across 400+ supported services including LLMs, databases, and communication platforms.

About awesome-workflow-automation

dariubs/awesome-workflow-automation

A curated list of Workflow Automation Software, Engines and Tools

Comprehensive curated index spanning classic iPaaS platforms (Zapier, Make, n8n) through AI agent frameworks (CrewAI, AutoGen) to specialized tools for browser automation, coding agents, and MCP protocol integrations. Organizes 200+ tools by capability tier—from simple trigger-action workflows to autonomous multi-agent systems with reasoning and planning—and includes foundational guides, market research, and community resources for understanding the evolving automation landscape.

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