Welcome to Dagu
Powerful Workflow Orchestration Made Simple
The simplest way to run complex workflows
Zero intrusion. Single binary. No databases. Just YAML files on your file system.
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USE CASES
From simple scripts to complex pipelines, Dagu handles it all.
Data Pipelines
Build reliable ETL workflows, data sync, and batch processing jobs.
- 1Chain extract, transform, and load steps with dependencies
- 2Query databases directly with postgres and sqlite step types
- 3Process data on schedule or trigger manually
- 4Track execution history and debug issues
workflow.yaml
steps:
- name: extract
type: postgres
config:
dsn: "${DATABASE_URL}"
command: "SELECT * FROM users WHERE active = true"
output: USERS
- name: transform
command: python transform.py
- name: load
type: sqlite
config:
dsn: "file:./analytics.db"
command: "INSERT INTO processed_users ..."Terminal
# Get started instantly
✓ dagu installed successfully
$dagustart-all
✓ Web UI ready at http://localhost:8080
Key Strengths
Zero Intrusion
No SDK required. Your code stays untouched.
Self-contained
Single binary, no external dependencies
Language agnostic
Run any script, any language
Features
Production-Ready Features
Everything you need in a single binary. No external dependencies required.
Quickstart Guide
1
Install Dagu
Binary
$curl -L https://raw.githubusercontent.com/dagu-org/dagu/main/scripts/installer.sh | bash
✓ Installed to /usr/local/bin/dagu
2
Create a workflow
hello.yaml
$cat > hello.yaml << EOF
# Your first workflow
steps:
- command: echo "Hello from dagu!"
- command: ls -la
EOF
✓ hello.yaml created
3
Run it
Terminal
$dagu start hello.yaml
Running hello...
✓ hello finished
Hello from dagu!
Running list...
✓ list finished
-rw-r--r-- hello.yaml
✓ Workflow completed successfully
4
Explore the Web UI
Dagu includes a modern web interface for monitoring and managing workflows.
Terminal
$dagu start-all
✓ Server started at http://localhost:8080
Web UI: Real-time monitoring, visual DAG view, execution history
GitHub
Join our community!
Share ideas, request features, showcase use cases, report bugs, or get help from the community