airflow
https://github.com/apache/airflow
Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- Issues
- Derive a mixed-language marker for Dags with task.stub
- Store executor callback DagRun references in the database
- Optimize scheduler backfill completion updates
- Add cluster-wide config to override per-pool include_deferred filed
- Pass precomputed hash to SerializedDagModel constructor
- A way to switch create_cron_data_interval=true back to 2.x run_id logic
- Java SDK: Author complete Dags in Java without a Python stub file
- KubernetesPodOperator task is incorrectly marked as SUCCESS instead of FAILED when both the task pod and its child pod are interrupted in close succession
- Calendar view computes planned runs for cron timetables in UTC, ignoring the DAG's configured timezone
- Fix upstream failure branch in task lifecycle diagram
- Docs
- Python not yet supported