K8s Python Packages

kubernetes

Official Python client library for kubernetes

75.4M 8K 4K

kr8s

A batteries-included Python client library for Kubernetes that feels familiar for folks who already know how to use kubectl

885K 996 71

clearml

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

807K 7K 805

clearml-agent

ClearML Agent - MLOps/LLMOps made easy. MLOps/LLMOps scheduler & orchestration solution

412K 314 121

eks-token

Python Package to get EKS auth token (Alternative to "aws eks get-token ...." CLI)

160K 28 15

dstack

A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.

79K 2K 269

kserve

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

58K 6K 2K

polyaxon

AI Infra / AI Orchestration / AI Control Plane

27K 4K 330

robotframework-kubelibrary

Kubernetes library for Robot Framework

14K 145 37

jslog4kube

Make it easy to emit JSON structured logging to stdout for Python apps and WSGI apps running inside Gunicorn. Is geared toward deployment on Kubernetes, but can be used without Kube or Gunicorn.

13K 34 8

skipper-lib

Simple and flexible ML workflow engine

11K 416 79

cloudcoil

Modern async-first Kubernetes client for Python with Pydantic models - bringing cloud-native operations and K8s development to life with elegant Pythonic APIs

11K 89 11

kubediagrams

Generate Kubernetes architecture diagrams from Kubernetes manifest files, kustomization files, Helm charts, helmfiles, and actual cluster state

10K 3K 179

kube-models

Python dataclasses for all Kubernetes built-in resources (v1.23+)

9K 4 0

kubesdk

Kubernetes client for Python + CRD - API models (both ways) generator. Fast, fully typed, async.

9K 105 4

bexhoma

This python tool helps managing DBMS benchmarking experiments in a Kubernetes-based HPC cluster environment. It enables users to configure hardware / software setups for easily repeating tests over varying configurations.

6K 5 0