Dagu — Self-hostable workflow orchestrator that runs scripts, containers, and commands with declarative YAML.
Analyzed by Sai Pavan Gopularam · DevOps · Workflow Automation · View on GitHub
- Stars: 4313
- Forks: 365
- Commits last 30 days: 100
- Health: Active (100 commits this month)
- Language: Go
- License: GPL-3.0
What It Is
Imagine a smart to-do list for all your computer tasks. Dagu is a self-hostable workflow orchestrator that takes your existing scripts, Docker containers, or SSH commands and runs them in a defined order, complete with scheduling, retries, and a web UI. It's a single binary, needs no external database, and uses declarative YAML files to define these task sequences.
This matters because traditional options like cron lack history or retries, while Airflow or Temporal require heavy setup and force you to rewrite your code. Dagu lets teams automate complex operations without becoming orchestration experts, keeping your business logic separate from the orchestration layer and simplifying internal automation.
License Verdict
GPL-3.0 License — Use with Caution for Proprietary SaaS — Commercial Use Approved • Copyleft Restrictions Apply to Distribution
You can use Dagu for commercial purposes, including running it as a service. However, if you modify Dagu and then distribute that modified version, you must also release your modifications under the GPL-3.0 license. This makes building a proprietary SaaS that directly modifies and distributes Dagu challenging, as your changes would need to be open-sourced.
How to Use It
Install Dagu as a single binary using a shell script, Homebrew, npm, or Docker. Define your workflow steps in a simple YAML file. Then, run the workflow directly from the command line or start the Dagu server to access the web UI.
Prerequisites:
- Bash
- Homebrew (macOS)
- npm (Node.js)
- Docker
- PowerShell (Windows)
Estimated setup time: 5 minutes.
curl -fsSL https://raw.githubusercontent.com/dagucloud/dagu/main/scripts/installer.sh | bash
echo 'steps:
- id: hello
run: echo "hello from Dagu"' > hello.yaml
dagu start hello.yaml
dagu start-all --dags .What I'd Build With This
Managed Dagu for Niche Data Operations (micro-saas)
Offer a specialized managed Dagu service for small businesses or teams dealing with specific data tasks, like automated report generation from disparate sources or media file conversions. You'd set up and maintain Dagu instances for clients, providing a simple interface or direct support for their YAML workflow definitions. This avoids GPL distribution issues as you're providing a service, not modified software.
Effort: 2 Weeks Build Time · Target: Small Data Teams, Marketing Agencies · Pricing: $199/month per instance
Dagu-Powered Internal Tooling Platform (saas)
Build a proprietary SaaS platform that leverages Dagu as its robust backend for executing internal automation workflows. Your platform would provide a custom, user-friendly UI for non-technical users to trigger pre-defined Dagu workflows, manage inputs, and view results, abstracting away the YAML. The value is in your platform's UX, integrations, and specific workflow templates, not in modifying Dagu itself.
Effort: 2 Months Build Time · Target: Mid-Market Tech Companies · Pricing: $999/month base + usage
On-Premises Automation Consulting & Integration (enterprise)
Provide consulting and integration services for large enterprises looking to streamline their complex, on-premises automation needs using Dagu. This involves deploying Dagu within their existing infrastructure, migrating legacy cron jobs, integrating with their secret management and monitoring systems, and training their teams. Your revenue comes from services, not from licensing modified software.
Effort: 1 Month per Client · Target: Large Enterprises, Government Agencies · Pricing: $20,000+ per project
Sai Pavan Gopularam's Take
Dagu is a practical solution for teams drowning in `cron` jobs or intimidated by Airflow. It lets you automate without rewriting everything. I'd explore offering a managed service for specific industry automation, helping smaller companies get robust workflows running for $500/month.
Watch Out For
- GPL-3.0 License Restrictions: The GPL-3.0 license means that if you modify Dagu and distribute it, you must open-source your changes. This can complicate proprietary SaaS offerings built directly on modified Dagu.
- Scaling & High Availability: While Dagu is self-contained and can scale out with workers, achieving true high availability and fault tolerance beyond a single server requires careful setup with shared volumes or distributed worker topologies, which adds complexity.
- No Built-in Code Versioning: Workflows are defined in YAML files. While this is simple, managing changes, rollbacks, and collaboration on these YAML files across a team requires external version control systems like Git.
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