Reverse Dependencies of kubernetes

The following projects have a declared dependency on kubernetes:

• a-data-processing — A library that prepares raw documents for downstream ML tasks.
• ab-data-processing — Data Processing is used for data processing through MinIO, databases, Web APIs, etc.
• actoolkit — Toolkit and SDK for interacting with Astra Control
• adaptdl-cli — Dynamic-resource trainer and scheduler for deep learning
• agentdesk — A desktop for AI agents
• ai-flow — An open source framework that bridges big data and AI.
• ai-flow-nightly — An open source framework that bridges big data and AI.
• ai-pipeline-params — Functions to set and use the AI Pipeline Params
• ai2-kubernetes-initializer — A simple Kubernetes initializer library.
• airdot — A code base for deploying ml api
• airflow-kube-base-operator — Kubernetes base operator for Airflow
• airflow-kube-job-operator — Kubernetes job operator for Airflow
• airflow-kubernetes-job-operator — An airflow job operator that executes a task as a Kubernetes job on a cluster, given a job yaml configuration or an image uri.
• airflow-kubernetes-job-operator-customize — An airflow job operator that executes a task as a Kubernetes job on a cluster, given a job yaml configuration or an image uri.
• airflow-kubernetes-job-operator-latest — An airflow job operator that executes a task as a Kubernetes job on a cluster, given a job yaml configuration or an image uri.
• airflow-kubernetes-job-operator-master — An airflow job operator that executes a task as a Kubernetes job on a cluster, given a job yaml configuration or an image uri.
• airflow-kubernetes-job-operator-test27 — An airflow job operator that executes a task as a Kubernetes job on a cluster, given a job yaml configuration or an image uri.
• airflow-spark-k8s — Airflow integration for Spark On K8s
• aissemble-extensions-model-training-api-sagemaker — no summary
• aissemble-foundation-model-training-api — no summary
• akc-mamba — A production ready, complete experience in deploying a Hyperledger Fabric
• akinaka — Useful AWS CLI Extras
• alert-exporter — Extract alerts configured in different sources (eg: Prometheus Rules, CloudWatch Alarms, Pingdom)
• alo7-airflow — Programmatically author, schedule and monitor data pipelines
• anymlops — A data science platform that works.
• apache-airflow — Programmatically author, schedule and monitor data pipelines
• apache-airflow-backport-providers-cncf-kubernetes — Backport provider package apache-airflow-backport-providers-cncf-kubernetes for Apache Airflow
• apache-airflow-providers-cncf-kubernetes — Provider package apache-airflow-providers-cncf-kubernetes for Apache Airflow
• apache-airflow-providers-isolation — Runtime Operator Isolation in Airflow
• apache-airflow-zack — Programmatically author, schedule and monitor data pipelines
• apache-liminal-test-spark — A package for authoring and deploying machine learning workflows
• apigw-manager — The SDK for managing blueking gateway resource.
• appyter — no summary
• aproxy — Simple tool that lets you run multiple proxies simultaneously
• arac — Data Processing is used for data processing through MinIO, databases, Web APIs, etc.
• arc-ai — Economies of models
• arcaflow-lib-kubernetes — Kubernetes connection handling library for Arcaflow
• arcaflow-plugin-kill-pod — Chaos Engineering Kill Pod Plugin for Arcaflow
• arcnet — Economies of models
• arcos — Economies of models
• arcproxyutilities — Arc proxy utilities for provisioned clusters
• argo-dsl — Python DSL for argo workflow
• argo-workflows-fvdnabee — Client for Argo Workflows
• armada-airflow — Armada Airflow Operator
• assemblyline — Assemblyline (v4) automated malware analysis framework base package.
• astro-provider-ray — An Apache Airflow provider package built by Astronomer to integrate with Ray.
• astronomer-telescope — A tool to observe distant (or local!) Airflow installations, and gather metadata or other required data.
• atils — A series of scripts used to interact and work with this repository.
• auto-learn-gpt — autoML for training and inference Deep Learning model
• autogen-agentchat — Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
• autogen-agentchat-um — Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
• autogen-kubernetes — autogen kubernetes extension
• autonomize-model-sdk — SDK for creating and managing machine learning pipelines.
• autoqube-kubernetes — Kubernetes Handler module for AUTOQUBE load testing
• autoserve — Model Serving Automation
• awesome-ctl — A comprehensive toolkit for CloudOps automation
• aws-orbit — Data & ML Unified Development and Production Environment.
• aws-orbit-sdk — AWS Orbit Workbench SDK
• azskpy — Scans Azure Controls
• azure-cli-ml — Microsoft Azure Command-Line Tools AzureML Command Module
• azuremlcli — Microsoft Azure Machine Learning Command Line Tools
• baler_operator — A Kubernetes operator for managing NLP framework deplotments.
• BatCave — BatCave Utilities module.
• beam-ds — Beam Datascience package
• beiboot — Getdeck Beiboot client project.
• bentoutils — Utilities for working with BentoML V1.x
• bexhoma — This python tools 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.
• binderhub — Turn a Git repo into a collection of interactive notebooks
• blacksmith-ai — no summary
• blazectl — no summary
• blowpipe — blowpipe is a docker based data pipeline / workflow engine.
• bodywork — Deploy machine learning to Kubernetes - MLOps accelerated.
• BRAD-Chat — This package connects large language models with bioinformatics workflows.
• bs-testpkg-02 — no summary
• bunnieinfra — no summary
• c7n-kube — Cloud Custodian - Kubernetes Provider
• caliban — Docker-based job runner for AI research.
• calrissian — CWL runner for Kubernetes
• cap-fairing — CAP Fairing Python SDK.
• capctl — Command line tool for CAP
• cartography — Explore assets and their relationships across your technical infrastructure.
• cco — CKAN Cloud Kubernetes operator
• cda.ai-modular-framework — A modular AI framework
• cdk8s-cli — A simple CLI for cdk8s
• cerberus-client — Guardian of Kubernetes and OpenShift Clusters
• cgdevxcli — no summary
• chaos-mesh — A client to create experiments in ChaosMesh
• chaosgarden — Generic cloud provider zone outage and Kubernetes pod disruption simulations with specific support for Gardener
• chaostoolkit-chaosk8ext — Chaos Toolkit k8s driver extension
• chaostoolkit-istio — Chaos Toolkit Extension for Istio Fault Injection
• chaostoolkit-k8s-wix — Extended version of Chaos Toolkit Kubernetes support
• chaostoolkit-kubernetes — Chaos Toolkit Extension for Kubernetes
• chip-wallet-dstack — dstack is an open-source orchestration engine for running AI workloads on any cloud or on-premises.
• chowda — A CLAMS processing application
• chromadb — Chroma.
• chromadb-pysqlite3 — Chroma.
• ck8s — CK8S POC command line
• ckan-cloud-operator — CKAN Cloud Kubernetes operator
• cli-pipeline — PipelineAI CLI
• client-library-for-chaos-mesh — A client to create experiments in ChaosMesh