Dagu
Self-HostedOpen-source workflow automation tool with web UI for monitoring pipelines
Overview
Dagu is an open-source self-hosted workflow automation tool for defining, scheduling, and monitoring pipelines. Workflows are written in YAML, supporting sequential/parallel tasks, retry logic, and conditional execution. It includes a web dashboard for real-time monitoring, log viewing, and manual triggers. Deploy via binary, Docker, or source on Linux/macOS servers—ideal for DevOps, data teams, or anyone automating tasks while retaining data control.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
dagu:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: dagu
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- YAML-based workflow definitions
- Web UI for monitoring & manual control
- Retry logic & detailed logging
- Lightweight deployment options
Frequently Asked Questions
? Is Dagu easy to install?
Yes—Dagu offers pre-built binaries (download & run), Docker containers (single command), or source code. Docker is recommended for quick setup, and binary installation works on most Linux/macOS systems without extra dependencies.
? Can Dagu replace Zapier for my workflows?
It depends—Dagu excels at server-side automation (ETL, DevOps pipelines) with self-hosted privacy. For simple cloud app integrations (Slack → Google Sheets), Zapier is better, but Dagu is ideal for control over sensitive data and complex task sequences.
? Is Dagu completely free to use?
Absolutely—Dagu is open-source under the MIT License, so it’s free to install, modify, and self-host without any licensing fees or subscription costs.
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Tool Info
Pros
- ⊕ Privacy-focused self-hosted solution
- ⊕ Flexible workflow configuration
- ⊕ No subscription costs
Cons
- ⊖ Requires basic server setup skills
- ⊖ Fewer cloud app integrations than SaaS tools