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WorkflowsApr 1, 2026·1 min de lectura

Dagster — Cloud-Native Data Pipeline Orchestrator

Dagster orchestrates data pipelines with declarative assets, lineage tracking, and observability. 15.2K+ stars. Python, asset-based, testable. Apache 2.0.

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Introducción

Dagster is a cloud-native data pipeline orchestrator for the whole development lifecycle. With 15,200+ GitHub stars and Apache 2.0 license, it uses a declarative programming model where you define data assets as Python functions. Built-in lineage tracking, observability, multi-tenant infrastructure, CI/CD best practices, and modern data stack integration. Python 3.9-3.14.

Best for: Data engineers building production data pipelines with lineage and observability Works with: Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf

Key Features

  • Declarative asset definitions in Python
  • Built-in data lineage and observability
  • Multi-tenant production infrastructure
  • CI/CD and testing best practices
  • Modern data stack integrations
  • Web UI dashboard

FAQ

Q: What is Dagster? A: Cloud-native data pipeline orchestrator with 15.2K+ stars. Declarative assets, lineage, observability. Apache 2.0.

Q: How do I install Dagster? A: uv add dagster dagster-webserver. Then dagster dev.

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Fuente y agradecimientos

dagster-io/dagster — 15,200+ GitHub stars

Discusión

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