pipelines
https://github.com/kubeflow/pipelines
Python
Machine Learning Pipelines for Kubeflow
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- Issues
- [sdk] Fragile cache key hashing, heterogeneous artifact list serialization, and unhandled deserialization crashes in kfp.local cache subsystem (cache.py)
- frontend: consolidate run-task polling into a shared query policy (run_tasks vs v2_run_comparison dual caches)
- feat(sdk): add comprehensive component I/O type validation coverage
- Launcher builds artifact URIs without percent-escaping, making some object names unaddressable
- bug(sdk): implicit one-hour retry window can suppress configured retries
- fix(sdk): preserve local executor arguments during Python replacement
- fix(frontend): build a six-field weekly cron when no day is selected. Fixes #14465
- fix(components): show the retry count in the wait_gcp_resources error
- [aw] AI issue quality analyzer hit engine rate limit (HTTP 429)
- chore(ci): start image-consuming test jobs after image builds to cut idle runner time
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- Python not yet supported