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Dagster

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Dagster is a data orchestration platform that helps teams build, schedule, and monitor reliable data pipelines with integrated lineage and observability.

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Sources

github.com

Verified against the dagster-io/dagster repository and the PyPI package.

Dagster is a modern, comprehensive data orchestration platform that provides a unified control plane for building, scaling, and observing AI and data pipelines. Trusted by teams worldwide, Dagster brings together ETL, transformation, and ML workflows in one place.

Key Features:

  • Asset-Based Orchestration - Model pipelines as data assets with automatic lineage tracking
  • Integrated Observability - Built-in monitoring, alerting, and real-time health metrics
  • dbt Integration - Orchestrate dbt, Databricks, and Python transformations natively
  • Data Catalog - Auto-generated documentation with clear ownership and lineage
  • AI-Powered Debugging - Intelligent alerts and impact analysis for faster issue resolution

Whether you're an analytics engineer, ML practitioner, or data team lead, Dagster provides the platform to orchestrate pipelines with confidence.

Features:
Open SourceWorkflow AutomationETL PipelineSchedulingPython SDKAsset Lineagedbt Integration

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