pipelines
https://github.com/kubeflow/pipelines
Python
Machine Learning Pipelines for Kubeflow
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- Issues
- bug(sdk): set_cpu_limit/set_cpu_request raise TypeError for non-str; cpu/memory/accelerator validators accept trailing newline
- chore(deps): bump actions/download-artifact in /
- feat(backend): add standalone MLMD migration engine and CLI
- feat(backend): Add guarded MLMD migration startup and maintenance cutover
- docs: record main branch migration bootstrap checkpoint
- feat(backend): add error counters and latency histograms to all API server files
- bug(backend): complete native task failure diagnostics and per-attempt history
- [backend] Pipeline spec duplication causes 3 MB etcd request-entity-too-large failures
- [backend] RetryRun fails with concurrent Argo workflow modification (409 Conflict + already exists)
- KFP v2 compiles the same pipeline to a ~3× larger Argo Workflow object than v1 — large pipelines become non-retryable
- Docs
- Python not yet supported