{"library":"kfp-kubernetes","type":"library","category":null,"description":"kfp-kubernetes is a Python library providing Kubernetes platform configuration utilities and generated protobufs for Kubeflow Pipelines (KFP). It enables users to customize Kubernetes resources like volumes, secrets, node selectors, and tolerations for KFP components. This package is part of the KFP SDK ecosystem (version 2.16.0) and is typically released in sync with `kfp`, `kfp-server-api`, and `kfp-pipeline-spec` with frequent updates.","language":"python","status":"active","version":"2.16.0","tags":["kubeflow","kubernetes","kfp","pipelines","mlops","machine-learning"],"last_verified":"Tue May 26","install":[{"cmd":"pip install kfp-kubernetes==2.16.0","imports":["from kfp_kubernetes import common","from kfp_kubernetes.kfp_kubernetes_platform import KubernetesPlatformConfig"]}],"homepage":"https://www.kubeflow.org/docs/components/pipelines/","github":"https://github.com/kubeflow/pipelines","docs":"https://kfp-kubernetes.readthedocs.io/","changelog":null,"pypi":"https://pypi.org/project/kfp-kubernetes/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":8.7,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/kfp-kubernetes/compatibility"}}