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Zie619 n8n-workflows

all of the workflows of n8n i could find (also from the site itself)

Stars

56,410

Popular

Forks

7,579

Watchers: 56,410

Language

Python

License: MIT License

Repository Radar Score

55 / 100

Growth

7d
+0
30d
+0
%
0.0%

Not enough metric snapshots yet to chart growth for this repository.

Score breakdown

  • popularity 88
  • growth 0
  • activity 55
  • freshness 100
  • community 80

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Trending

n8n Workflow Collection

What's New

Latest Updates (November 2025)

  • Enhanced Security: Full security audit completed, all CVEs resolved
  • Docker Support: Multi-platform builds for linux/amd64 and linux/arm64
  • GitHub Pages: Live searchable interface at zie619.github.io/n8n-workflows
  • Performance: 100x faster search with SQLite FTS5 integration
  • Modern UI: Completely redesigned interface with dark/light mode

Quick Access

Use Online (No Installation)

Visit zie619.github.io/n8n-workflows for instant access to:

  • Smart Search — Find workflows instantly
  • 15+ Categories — Browse by use case
  • Mobile Ready — Works on any device
  • Direct Downloads — Get workflow JSONs instantly

Features

By The Numbers

  • 4,343 Production-Ready Workflows
  • 365 Unique Integrations
  • 29,445 Total Nodes
  • 15 Organized Categories
  • 100% Import Success Rate

Performance

  • < 100ms Search Response
  • < 50MB Memory Usage
  • 700x Smaller Than v1
  • 10x Faster Load Times
  • 40x Less RAM Usage

Local Installation

Prerequisites

  • Python 3.9+
  • pip (Python package manager)
  • 100MB free disk space

Quick Start

# Clone the repository
git clone https://github.com/Zie619/n8n-workflows.git
cd n8n-workflows

# Install dependencies
pip install -r requirements.txt

# Start the server
python run.py

# Open in browser
# http://localhost:8000

Docker Installation

# Using Docker Hub
docker run -p 8000:8000 zie619/n8n-workflows:latest

# Or build locally
docker build -t n8n-workflows .
docker run -p 8000:8000 n8n-workflows

Documentation

API Endpoints

Endpoint Method Description
/ GET Web interface
/api/search GET Search workflows
/api/stats GET Repository statistics
/api/workflow/{id} GET Get workflow JSON
/api/categories GET List all categories
/api/export GET Export workflows

Search Features

  • Full-text search across names, descriptions, and nodes
  • Category filtering (Marketing, Sales, DevOps, etc.)
  • Complexity filtering (Low, Medium, High)
  • Trigger type filtering (Webhook, Schedule, Manual, etc.)
  • Service filtering (365+ integrations)

Architecture

graph LR
    A[User] --> B[Web Interface]
    B --> C[FastAPI Server]
    C --> D[SQLite FTS5]
    D --> E[Workflow Database]
    C --> F[Static Files]
    F --> G[Workflow JSONs]
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Tech Stack

  • Backend: Python, FastAPI, SQLite with FTS5
  • Frontend: Vanilla JS, Tailwind CSS
  • Database: SQLite with Full-Text Search
  • Deployment: Docker, GitHub Actions, GitHub Pages
  • Security: Trivy scanning, CORS protection, Input validation

Repository Structure

n8n-workflows/
├── workflows/           # 4,343 workflow JSON files
│   └── [category]/     # Organized by integration
├── docs/               # GitHub Pages site
├── src/                # Python source code
├── scripts/            # Utility scripts
├── api_server.py       # FastAPI application
├── run.py              # Server launcher
├── workflow_db.py      # Database manager
└── requirements.txt    # Python dependencies

Contributing

We love contributions! Here's how you can help:

Ways to Contribute

  • Report bugs via Issues
  • Suggest features in Discussions
  • Improve documentation
  • Submit workflow fixes
  • Star the repository

Development Setup

# Fork and clone
git clone https://github.com/YOUR_USERNAME/n8n-workflows.git

# Create branch
git checkout -b feature/amazing-feature

# Make changes and test
python run.py --debug

# Commit and push
git add .
git commit -m "feat: add amazing feature"
git push origin feature/amazing-feature

# Open PR

Security

Security Features

  • Path traversal protection
  • Input validation & sanitization
  • CORS protection
  • Rate limiting
  • Docker security hardening
  • Non-root container user
  • Regular security scanning

Reporting Security Issues

Please report security vulnerabilities to the maintainers via Security Advisory.


License

This project is licensed under the MIT License - see the LICENSE file for details.


Support

If you find this project helpful, please consider:



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Made with care by Zie619 and contributors


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AI-BOM — Discover every AI agent, model, and API hiding in your infrastructure.
Open source by Trusera — Securing the Agentic Service Mesh.

Created: May 14, 2025

Last push: Jun 24, 2026

Default branch: main

Latest release: dmca-compliance-2025-08-14

Languages

Share of the codebase by language, based on repository metadata from the host.

  • Python 47.7%
  • HTML 26.0%
  • PLpgSQL 9.5%
  • JavaScript 6.3%
  • Shell 5.7%
  • TypeScript 2.3%
  • PowerShell 1.4%
  • Dockerfile 0.8%
  • Go Template 0.3%

Repository Radar analysis

Deterministic insights derived from public metadata and our observations — not personal testing or reviews.

Why this repository is interesting

  • High absolute popularity (56,410 stars) signals broad adoption.

Who should use it

  • Developers working primarily with Python

Potential use cases

  • Reference or evaluate Python open-source approaches in this domain

Strengths

  • README present in our index
  • Declared license: MIT License
  • Substantial fork count (7,579) suggests reuse and contribution interest

Limitations / considerations

  • Insights are derived from public metadata and our observations — not a substitute for code review

What to watch

  • Re-check last push, issues, and releases on GitHub before production adoption

Strong signals: Strong community interest

Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.

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