# 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.

## Install

Copy the content below into your project:

## Quick Use

```bash
uv add dagster dagster-webserver dagster-dg-cli
dagster dev
# Open http://localhost:3000
```

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## Intro

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

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## 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

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### 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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## Source & Thanks

> [dagster-io/dagster](https://github.com/dagster-io/dagster) — 15,200+ GitHub stars

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Source: https://tokrepo.com/en/workflows/9ad9a1ce-c5bf-4125-ba9a-b61ddbcad145
Author: AI Open Source