# kubeflow/community-distribution

Kubeflow Community Distribution

Repository: https://github.com/kubeflow/community-distribution
Canonical: https://ross.abutalabs.com/products/community-distribution
Homepage: https://www.kubeflow.org/docs/started/installing-kubeflow/#kubeflow-manifests
Language: YAML
License: Apache-2.0
License Family: permissive
Topics: deployment, enterpise, kubeflow, multi-tenancy, secure
Last push: 2026-09-02T11:43:57+00:00

## Health v2 (maintenance only)
Score: 92/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 77, longevity 100
- inputs: {"age_days": 2745, "days_push": 0, "days_rel": 79, "gap_med": 90.0, "n_releases_24m": 7}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1036, forks 1069 (observed 2026-09-03T02:15:14.159904+00:00)

## What it is
The official Kubeflow Community Distribution providing manifests to install the full Kubeflow Platform (Pipelines, KServe, Central Dashboard, and more) on popular Kubernetes clusters like Kind, Minikube, EKS, AKS, and GKE. It targets enterprises with strict security, legal, and multi-tenancy requirements as well as academic users exploring the end-to-end Kubeflow AI platform.

## Use cases
- install kubeflow on eks
- deploy a machine learning platform on kubernetes
- set up kubeflow pipelines and kserve on gke
- multi-tenant ml platform with authentication
- run llm fine-tuning pipelines on kubernetes
- self-hosted ml platform for an enterprise
- try kubeflow locally with kind or minikube

## When to choose
- you want the full Kubeflow Platform with all components installed via a single command on a supported Kubernetes cluster
- your organization has security, legal, or multi-tenancy requirements for its ML platform
- you want a stable, community-supported release cadence with end-to-end integration testing
- you need composable, Kubernetes-native tooling covering the whole AI lifecycle from data prep to inference

## When to avoid
- you only need a single Kubeflow subproject like Pipelines or Katib and not the full platform
- you want a commercially supported vendor distribution with SLAs
- you are not using Kubernetes for your ML workloads
- you need a lightweight ML tooling setup without cluster-level infrastructure

## Facets
- artifact type: infra-config
- maturity: active
- function: deployment, machine-learning, container-orchestration, infrastructure-as-code, llm-training, llm-inference, workflow-automation, security
- domain: machine-learning, cloud-computing, infrastructure-as-code, large-language-models, data-science
- platform: cloud, self-hosted, go
- tags: kubeflow, mlops, kubernetes-manifests, multi-tenancy, ml-platform, eks, gke, aks, kserve, pipelines, cncf, devops, containers, kubernetes, docker

## Member repositories
- kubeflow/community-distribution (main) score 92

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:14.159904+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:06:40.680620+00:00, confidence not recorded.
  - readme: https://github.com/kubeflow/community-distribution (fetched 2026-09-03T02:15:14.159904+00:00, sha 879eac655a3e)
  - homepage: https://www.kubeflow.org/docs/started/installing-kubeflow/#kubeflow-manifests (fetched 2026-08-29T13:06:23.659721+00:00, sha db15c9decc4a)
  - site_page: https://www.kubeflow.org/docs/started/architecture (fetched 2026-08-29T13:06:23.680648+00:00, sha eeb497b45570)
  - site_page: https://www.kubeflow.org/docs/started (fetched 2026-08-29T13:06:23.677167+00:00, sha 52d4becf41e9)
  - site_page: https://www.kubeflow.org/docs (fetched 2026-08-29T13:06:23.668876+00:00, sha 2d48c8aa19c2)
  - site_page: https://www.kubeflow.org/docs/about/community (fetched 2026-08-29T13:06:23.670560+00:00, sha 85bbf5395b12)
  - site_page: https://www.kubeflow.org/docs/started/installing-kubeflow (fetched 2026-08-29T13:06:23.672342+00:00, sha a977fcac93bf)
  - site_page: https://www.kubeflow.org/docs/genai (fetched 2026-08-29T13:06:23.674025+00:00, sha 0bf5a9037279)
  - site_page: https://www.kubeflow.org/docs/genai/use-cases (fetched 2026-08-29T13:06:23.675512+00:00, sha bfca00da3bad)
  - site_page: https://www.kubeflow.org/docs/started/introduction (fetched 2026-08-29T13:06:23.678907+00:00, sha 240c9135c386)
- Data as of 2026-08-30T08:39:29.467469+00:00.