pipelines
https://github.com/kubeflow/pipelines
Python
Machine Learning Pipelines for Kubeflow
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- Issues
- chore(tests): Create `make` commands for running tests locally
- chore(CI): Add notifications when post-merge CI fails
- [feature] Allow models/datasets import option to dsl.importer
- KEP-12513: Filesystem-Based Artifact Storage for Kubeflow Pipelines
- chore(backend): Consolidate v2 placeholder resolution into shared utility
- [feature] Append a kubeflow-pipelines tag to the API server S3 user agent
- chore(backend): define run lifecycle ownership and durable reconciliation
- bug(backend): Retry fails for runs with Argo offloaded node status
- fix(sdk): raise ValueError for unknown channel in make_new_channel_for_collected_outputs.
- [backend] DeletePipeline cascade delete is non-transactional — partial failure leaves inconsistent state
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- Python not yet supported