kfp | Python Package Wiki

Based on how often these packages appear together in public requirements.txt files on GitHub.

argo-models	Generated openapi models for Argo objects.
kfp-server-api	Kubeflow Pipelines API
kfmd	KubeFlow Metadata SDK
mdparse	Parsing markdown files for deep learning.
nvidia-ml-py3	Python Bindings for the NVIDIA Management Library
fastprogress	A nested progress with plotting options for fastai
papermill	Parametrize and run Jupyter and nteract Notebooks
ansiwrap	textwrap, but savvy to ANSI colors and styles
tensorboard-plugin-wit	What-If Tool TensorBoard plugin.
grpcio-gcp	gRPC extensions for Google Cloud Platform
nbclient	A client library for executing notebooks. Formally nbconvert's ExecutePreprocessor.
tensorflow-serving-api	TensorFlow Serving Python API.
opt-einsum	Optimizing numpys einsum function
google-auth-oauthlib	Google Authentication Library
nest-asyncio	Patch asyncio to allow nested event loops
ml-metadata	A library for maintaining metadata for artifacts.
tfx-bsl	tfx_bsl (TFX Basic Shared Libraries) contains libraries shared by many TFX (TensorFlow eXtended) libraries and components.
tfx	TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google
tensorflow-model-analysis	A library for analyzing TensorFlow models

Proportion of downloaded versions in the last 3 months (only versions over 1%).

pip install kfp==1.8.9