Welcome to Dagster's documentation!

Dagster is a data orchestrator for machine learning, analytics, and ETL

These are the sections of our docs:


Quick instructions on how to install Dagster.


An introduction to Dagster main concepts through a set of examples and accompanying explanation. Start here if you're new to Dagster and want to ramp up.


Each page is a code example with accompanying explanation. Come here to learn how to do specific things with Dagster, like conditionally execute part of a pipeline or write solids that use PySpark.


Each page in this section is a detailed explanation of a Dagster concept or component. Come here to deepen your understanding of the system.


A set of references for how to deploy Dagster.


Our code of conduct, guidelines for contributing, release policy, and links to our Github and Slack.