airflow
https://github.com/apache/airflow
Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- Issues
- UI: Scope partitioned Dag run asset list to readable assets
- Databricks: Support deferrable data-readiness polling in DatabricksSqlSensor (#74661)
- Speed up pool list responses
- Switch the default async MySQL driver to asyncmy
- Allow selecting several task instances in the Grid view
- Avoid a CTE in the asset orphanage DELETE
- Marking a task success with include_future on a run without a logical date clears failed tasks in other runs
- fix: mark state include_past/future on runs without logical_date
- Unable to create a mapped task group with a dynamic TriggerDagRunOperator trigger_dag_id
- Validate the file structure in airflowctl connections import
- Docs
- Python not yet supported