{"library":"kfp","type":"library","category":null,"description":"The Kubeflow Pipelines SDK (kfp), currently at version 2.16.0, is a Python library for building and deploying portable, scalable machine learning workflows based on Docker containers within the Kubeflow project. It allows users to compose multi-step workflows (pipelines) as a graph of containerized tasks using Python code and/or YAML. Releases are frequent, often bundling the SDK with related components like `kfp-pipeline-spec`, `kfp-server-api`, and `kfp-kubernetes`.","language":"python","status":"active","version":"2.16.0","tags":["machine learning","mlopps","kubernetes","pipeline","workflow"],"install":[{"cmd":"pip install kfp","imports":["from kfp import Client","from kfp import dsl","from kfp.dsl import component","from kfp.dsl import pipeline"]},{"cmd":"pip install kfp[kubernetes]","imports":[]}],"homepage":"https://www.kubeflow.org","github":"https://github.com/kubeflow/pipelines","docs":"https://kubeflow-pipelines.readthedocs.io/en/stable/","changelog":"https://github.com/kubeflow/pipelines/blob/master/sdk/RELEASE.md","pypi":"https://pypi.org/project/kfp/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":8.1,"avg_import_s":2.79,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/kfp/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":"verified"}}