Dagster is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.
You declare functions that you want to run and the data assets that those functions produce or update. Dagster then helps you run your functions at the right time and keep your assets up-to-date.
Dagster is designed to be used at every stage of the data development lifecycle, including local development, unit tests, integration tests, staging environments, and production.
New to Dagster? Check out the Quickstart, learn with some hands-on Tutorials, or dive into Concepts. For an in-depth learning experience, enroll in Dagster University.
Questions? Interested in seeing some community contributions, or contributing yourself? Check out the Dagster community!
Use one of our examples to explore Dagster concepts, integrations, and realistic projects.