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Mage

Modern open-source data pipeline tool combining notebooks, orchestration, and observability for building and managing data workflows.

Key Features

  • Interactive blocks: Notebook-style code cells
  • Instant feedback: Run and see results immediately
  • Version control: Git-friendly file structure
  • Testing: Built-in unit and integration tests
  • DAG visualization: Visual dependency graphs
  • Scheduling: Cron and event-based triggers
  • Backfills: Historical data processing
  • Streaming: Real-time pipeline support
  • Sources: Databases, APIs, cloud storage
  • Transformations: SQL, Python, R blocks
  • Destinations: Warehouses, lakes, APIs
  • dbt integration: Native dbt model support
  • Monitoring: Pipeline health dashboards
  • Alerting: Failure notifications
  • Logging: Structured pipeline logs
  • Lineage: Data dependency tracking