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About
Open-source data pipeline orchestrator. Open-source alternative to Apache Airflow.
Catalogue
No. 153
Category
Data & Content
GitHub stars
★ 0
Dagster website

Overview

Dagster is a cloud-native data pipeline orchestrator for the whole development lifecycle. You declare the data assets you want, such as tables, datasets, machine learning models and reports, as Python functions, and Dagster runs them at the right time and keeps them up to date. Prefect is acquiring Dagster Labs, the company behind it; Dagster keeps its name and open-source license.

What it does well

Dagster has a declarative programming model, integrated lineage and observability, and is built for testability. Assets and their dependencies show as a graph in its web UI.

Why it’s in the collection

Dagster brings software engineering practices like testing and lineage to data pipelines. It is Apache-licensed, with a hosted Dagster+ option.

On GitHub

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Languages

  • Python 80.1%
  • TypeScript 17.7%
  • Other 2.2%

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