Skip to main content

Dagster is an opinionated programming model for data pipelines.

Project description

.. image:: :align: center

.. docs-include

.. image:: :target: .. image:: :target: .. image:: :target: .. image:: :target: .. image:: :target: .. image:: :target:

============ Introduction

Dagster is an opinionated system and programming model for data pipelines. This process goes by many names -- ETL (extract-transform-load), ELT (extract-load-transform), model production, data integration, and so on -- but in essence they all describe the same activity: performing a set of computations structured as a DAG (directed, acyclic graph) that end up producing data assets, whether those assets be tables, files, machine-learning models, etc.

This project contains the core programming model and abstraction stack behind Dagster; a stateless single-node, single-process execution engine; and a CLI tool for driving that engine.

Go to for complete documentation, including a step-by-step tutorial and notes on the demo project.

For details on contributing or running the project for development, see

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for dagster-nightly, version 2019.6.2
Filename, size File type Python version Upload date Hashes
Filename, size dagster_nightly-2019.6.2-py3-none-any.whl (232.0 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size dagster-nightly-2019.6.2.tar.gz (160.3 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page