airflow
https://github.com/apache/airflow
Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- Issues
- KubernetesExecutor can start stale worker pods for obsolete TaskInstance UUIDs under HA schedulers
- Prevent KubernetesExecutor from launching stale workloads
- Restrict asset state store access to registered tasks
- fix: preserve exception args when serializing built-in exceptions
- Add TypedDict type hints for AirflowPlugin list fields
- Count post-deferral scheduled tasks toward include_deferred pool slots
- Preserve AirflowTaskTimeout when timeout logging fails
- Add validate tirgger events in dbt cloud deferrable tasks
- BaseSerialization adds an extra tuple layer to built-in exception args
- Honor execution timeout across task deferrals
- Docs
- Python not yet supported