Dagu is a powerful Cron alternative with a Web UI that allows you to define dependencies between commands as a Directed Acyclic Graph (DAG) in a declarative YAML format. It provides advanced workflow orchestration for complex task automation and scheduling.

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Repository activity:
Stars
2,403
Forks
191
Watchers
20
Open Issues
119
Last commit
about 8 hours ago
Details:
Estimated Popularity
10
Pricing Model
Free
Hosting Type
Self-Hosted
License
GPL-3.0
Deployment Difficulty
Medium
Language
Go

Dagu is a sophisticated workflow orchestration tool that serves as a powerful alternative to traditional Cron scheduling. It enables users to define complex task dependencies as Directed Acyclic Graphs (DAGs) using intuitive YAML configuration, providing advanced automation capabilities with a modern web interface for monitoring and management.

Key Features

  • Advanced Workflow Orchestration:

    • Directed Acyclic Graph (DAG) based task dependencies
    • Complex workflow definition and execution
    • Parallel task execution and optimization
    • Conditional logic and branching workflows
    • Multi-step process automation
    • Workflow composition and reusability
  • Flexible Scheduling System:

    • Traditional Cron-style scheduling capabilities
    • Event-driven trigger mechanisms
    • Manual workflow execution and testing
    • Time-based and dependency-based triggers
    • Schedule validation and conflict resolution
    • Multiple scheduling strategies and patterns
  • Declarative Configuration:

    • YAML-based workflow definitions
    • Version-controlled configuration management
    • Template support for reusable components
    • Environment variable integration
    • Configuration validation and testing
    • Documentation and commenting support
  • Comprehensive Monitoring:

    • Modern web interface for workflow management
    • Real-time execution status and monitoring
    • Detailed execution history and logging
    • Visual workflow representation and progress
    • Error tracking and debugging capabilities
    • Performance metrics and analytics
  • Enterprise-Grade Features:

    • Automatic retry logic and error handling
    • Timeout configuration and resource management
    • Notification system for workflow events
    • API access for programmatic control
    • Security and access control features
    • Scalability and performance optimization
  • Extensive Integration Capabilities:

    • Command-line tool and script execution
    • HTTP request and API integration
    • Database operations and data processing
    • File system operations and manipulation
    • Third-party service integration
    • Custom plugin and extension support
  • Self-Hosting Benefits:

    • Complete control over workflow execution and data
    • Privacy protection for sensitive automation tasks
    • Custom configuration for specific organizational needs
    • Integration with existing infrastructure and tools
    • No dependency on external workflow services
    • Enhanced security for critical business processes

Technical Specifications

  • License: GPL-3.0
  • Deployment: Docker containers, binary installation
  • Platforms: Cross-platform (Linux, macOS, Windows)
  • Requirements: Minimal system resources
  • Configuration: YAML files
  • Architecture: DAG engine with web interface

Use Cases

  • Media Processing: Automated media conversion and processing pipelines
  • Data Workflows: ETL processes and data transformation pipelines
  • CI/CD Pipelines: Custom deployment and testing workflows
  • System Administration: Automated maintenance and monitoring tasks
  • Business Processes: Complex business workflow automation
  • Content Management: Automated content processing and publishing

Unique Advantages

  • DAG-Based: Advanced dependency management with visual representation
  • Cron Alternative: Modern replacement for traditional Cron scheduling
  • YAML Configuration: Intuitive, declarative workflow definitions
  • Web Interface: Modern UI for monitoring and management
  • Flexible Execution: Support for various trigger types and conditions
  • Open Source: GPL-3.0 licensed, transparent and extensible

Based on the Dagu GitHub repository, this tool provides users with a sophisticated workflow orchestration platform that excels in complex task automation and dependency management, making it ideal for DevOps teams, system administrators, and organizations who need advanced scheduling and workflow capabilities beyond traditional Cron jobs.

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