dagster 1.7.0

Dagster is an orchestration platform for the development, production, and observation of data assets.

Stars: 10086, Watchers: 10086, Forks: 1247, Open Issues: 2472

The dagster-io/dagster repo was created 5 years ago and the last code push was 6 minutes ago.
The project is extremely popular with a mindblowing 10086 github stars!

How to Install dagster

You can install dagster using pip

pip install dagster

or add it to a project with poetry

poetry add dagster

Package Details

Author

Dagster Labs

License

Apache-2.0

Homepage

None

PyPi:

https://pypi.org/project/dagster/

Documentation:

https://docs.dagster.io

GitHub Repo:

https://github.com/dagster-io/dagster

Classifiers

• Software Development/Libraries/Application Frameworks
• System/Monitoring

Related Packages

Errors

A list of common dagster errors.

Code Examples

Here are some dagster code examples and snippets.

GitHub Issues

The dagster package has 2472 open issues on GitHub

• Docs - Fix typo in op factory example
• dagit: changes to run config not picked up correctly
• MEMOIZED_RUN_TAG does not have any effect from dagit UI
• [dagster-dbt] update dbt assets integration to use multi_asset
• Bump nanoid from 3.1.20 to 3.2.0 in /docs/next
• [software-defined-assets] Enable inter-asset dependencies
• Add build_resources to the top level API, add documentation on usage
• [draft][rfc] Log user events via context
• Better explanation when a run starts in STARTING state, instead of a generic framework error failure
• Service discovery for new repository locations
• [airbyte] add requests dependency
• add index to query by range
• monthly_partitioned_config is broken because of wrong cron scheduling
• Kubernetes integration tests should include running a job with dynamic outputs
• Failed runs do not expose the exit code in Kubernetes

See more issues on GitHub