pipelines
https://github.com/kubeflow/pipelines
Python
Machine Learning Pipelines for Kubeflow
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- Issues
- [feature] Use Annotated Types to provide type safe method for named tuple returns
- feat(backend): add ClassifyPodFailure taxonomy for pod lifecycle failures
- platform-agnostic-postgresql does not produce a working deployment: postgres statement builder unused, identifier casing, and four manifest bugs
- [aw] AI issue quality analyzer hit engine rate limit (HTTP 429)
- bug(backend): ignore_upstream_failure task fails instead of using input defaults when the upstream task fails
- bug(backend): custom cache keys reuse task outputs across different pipelines
- fix(backend): match stuck pods to their task through the Argo task node. Part of #12843
- feat(component,sdk): stage-level status reporting for pipeline components.
- fix(backend): reconcile RUNNING task to FAILED when its executor pod dies unreported. Part of #14989
- [feature] Support serializable objects as parameter
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- Python not yet supported