Dagster
Python data pipeline orchestrator for declaring, running and monitoring data assets as Python functions.
Dagster is a Python data pipeline orchestrator for declaring, running and monitoring data assets written as Python functions. It is installed from the PyPI package named dagster. The project publishes a GraphQL API served by its webserver, which lets clients query runs and launch job executions.
Worth knowing
The homepage states that Dagster is now part of Prefect. The GraphQL API page describes the API as still evolving, with much of it meant for internal use by the webserver.
Identity
Rendering and deploy
- Install with
- uv add dagster dagster-webserver dagster-dg-cli7
Releases
Adoption
Sources
- 2026-11-03: links
dagster.io/ - 2026-11-03: links, Written in, GitHub stars
api.github.com/repos/dagster-io/dagster - 2026-11-03: links
docs.dagster.io/ - 2026-11-03: Maintainer, License, License model
raw.githubusercontent.com/dagster-io/dagster/master/LICENSE - 2026-11-03: Categories
github.com/dagster-io/dagster - 2026-11-03: Runtime, Minimum runtime
raw.githubusercontent.com/dagster-io/dagster/1.13.28/python_modules/dagster/pyproject.toml - 2026-11-03: Install with
raw.githubusercontent.com/dagster-io/dagster/master/python_modules/dagster/README.md - 2026-11-03: Current major version, Last release
api.github.com/repos/dagster-io/dagster/releases/latest - 2026-11-03: Contributors
api.github.com/repos/dagster-io/dagster/contributors?per_page=1 - 2026-11-03: First release
api.github.com/repos/dagster-io/dagster/releases