pipelines
https://github.com/kubeflow/pipelines
Python
Machine Learning Pipelines for Kubeflow
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- Issues
- chore(backend): Migrate kfp-server-api codegen templates from setup.py to pyproject.toml
- Server-Side Pipeline Spec Validation (PipeClear)
- fix(docs): Update KEP for AI Issue Triage
- fix(sdk): use numpy 1.26+ on Python 3.12, not just 3.13
- [bug] generate_proto.py checks wrong output path before regenerating Python protobuf
- feat(api): define trust contract for artifact URI provider queries
- feat(ui): add plugins input support for the KFP UI
- frontend: extract launcher-config's Go YAML-parity layer, then replace it with backend-resolved provider config
- fix(backend): fail run creation on plugin runtime env injection failure
- feat(frontend): remove direct Kubernetes API access from the UI server
- Docs
- Python not yet supported