{"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"],"install":[{"cmd":"pip install kfp-kubernetes==2.16.0","imports":["from kfp import Client"]}],"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":8.5,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/kfp-kubernetes/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Tue Jun 30","last_verified":"Tue Jun 30","next_check":"Thu Jul 30","install_tag":null}}