Kubeflow Pipelines SDK

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`.