Kubeflow

Kubeflow is an open-source machine learning platform for Kubernetes, designed to make deployments of ML workflows on Kubernetes simple, portable, and scalable. It provides tools for training, serving, tuning, and managing ML models across the full lifecycle.

Kubeflow publishes 4 APIs on the APIs.io network, including Experiments API, Health API, Pipelines API, and 1 more. Tagged areas include AI, Deep Learning, Kubernetes, Machine Learning, and MLOps.

Kubeflow’s developer surface includes authentication, documentation, getting-started guide, engineering blog, and 6 more developer resources.

🌐 Visit website 📡 Source on GitHub

40.1/100 thin ▬ flat Agent 31/100 agent aware Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1

AccessFreemiumSelf serve⚡ Free to try

8 APIs

AIDeep LearningKubernetesMachine LearningMLOpsModel ServingModel TrainingOpen Source

Kin Score

Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1

Composite quality — 40.1/100 · thin

Contract Quality 13.6 / 25

Developer Ergonomics 7.4 / 20

Commercial Clarity 7.9 / 20

Operational Transparency 4.8 / 13

Governance 0.0 / 12

Discoverability 6.5 / 10

Agent readiness — 31/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/kubeflow: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 8

Individual APIs this provider publishes, each with its own machine-readable definition.

Rate Limits 1

Documented rate limits and quota policies.

Kubeflow Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrg

GitHubOrg

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

Community

Community

Company 3

The organization behind the API

LinkedIn

Website

Website

Blog

Blog

Source (apis.yml)

aid: kubeflow
name: Kubeflow
description: Kubeflow is an open-source machine learning platform for Kubernetes, designed to make deployments of ML workflows
  on Kubernetes simple, portable, and scalable. It provides tools for training, serving, tuning, and managing ML models across
  the full lifecycle.
type: Index
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/kubeflow.png
tags:
- AI
- Deep Learning
- Kubernetes
- Machine Learning
- MLOps
- Model Serving
- Model Training
- Open Source
url: https://raw.githubusercontent.com/api-evangelist/kubeflow/refs/heads/main/apis.yml
created: '2024-01-15'
modified: '2026-04-28'
specificationVersion: '0.19'
apis:
- aid: kubeflow:metadata-api
  name: Kubeflow Metadata API
  description: API for tracking and managing metadata, artifacts, and lineage for ML workflows running on Kubeflow.
  humanURL: https://www.kubeflow.org/docs/components/pipelines/concepts/metadata/
  tags:
  - Artifacts
  - Metadata
  - ML Tracking
  properties:
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/pipelines/concepts/metadata/
  - type: GitHubRepository
    url: https://github.com/google/ml-metadata
- aid: kubeflow:katib-api
  name: Katib API
  description: Katib is the Kubeflow component for hyperparameter tuning, neural architecture search, and AutoML, exposing
    a Kubernetes-native API for defining and running tuning experiments.
  humanURL: https://www.kubeflow.org/docs/components/katib/
  tags:
  - AutoML
  - Hyperparameter Tuning
  - Neural Architecture Search
  properties:
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/katib/reference/
  - type: GitHubRepository
    url: https://github.com/kubeflow/katib
- aid: kubeflow:notebooks-api
  name: Kubeflow Notebooks API
  description: API for managing Jupyter notebook server instances within a Kubeflow cluster, providing isolated, browser-based
    development environments.
  humanURL: https://www.kubeflow.org/docs/components/notebooks/
  tags:
  - Development Environment
  - Jupyter
  - Notebooks
  properties:
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/notebooks/
  - type: GitHubRepository
    url: https://github.com/kubeflow/kubeflow/tree/master/components/notebook-controller
- aid: kubeflow:central-dashboard
  name: Kubeflow Central Dashboard API
  description: API supporting the Kubeflow central dashboard and UI components, which provide a unified interface to all installed
    Kubeflow components.
  humanURL: https://www.kubeflow.org/docs/components/central-dash/
  tags:
  - Dashboard
  - Management
  - UI
  properties:
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/central-dash/
  - type: GitHubRepository
    url: https://github.com/kubeflow/kubeflow/tree/master/components/centraldashboard
- aid: kubeflow:kubeflow-experiments-api
  name: Kubeflow Experiments API
  description: Group runs and recurring jobs into logical experiments
  humanURL: https://www.kubeflow.org/docs/components/pipelines/
  baseURL: https://your-kubeflow-instance/pipeline
  tags:
  - Experiments
  properties:
  - type: OpenAPI
    url: openapi/kubeflow-experiments-api-openapi.yml
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/pipelines/v2/reference/api/kubeflow-pipeline-api-spec/
  - type: GitHubRepository
    url: https://github.com/kubeflow/pipelines
  - type: Documentation
    url: https://kserve.github.io/website/modelserving/v1beta1/
  - type: GitHubRepository
    url: https://github.com/kserve/kserve
- aid: kubeflow:kubeflow-health-api
  name: Kubeflow Health API
  description: Health and auth checks
  humanURL: https://www.kubeflow.org/docs/components/pipelines/
  baseURL: https://your-kubeflow-instance/pipeline
  tags:
  - Health
  properties:
  - type: OpenAPI
    url: openapi/kubeflow-health-api-openapi.yml
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/pipelines/v2/reference/api/kubeflow-pipeline-api-spec/
  - type: GitHubRepository
    url: https://github.com/kubeflow/pipelines
  - type: Documentation
    url: https://kserve.github.io/website/modelserving/v1beta1/
  - type: GitHubRepository
    url: https://github.com/kserve/kserve
- aid: kubeflow:kubeflow-pipelines-api
  name: Kubeflow Pipelines API
  description: Manage pipeline definitions
  humanURL: https://www.kubeflow.org/docs/components/pipelines/
  baseURL: https://your-kubeflow-instance/pipeline
  tags:
  - Pipelines
  properties:
  - type: OpenAPI
    url: openapi/kubeflow-pipelines-api-openapi.yml
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/pipelines/v2/reference/api/kubeflow-pipeline-api-spec/
  - type: GitHubRepository
    url: https://github.com/kubeflow/pipelines
  - type: Documentation
    url: https://kserve.github.io/website/modelserving/v1beta1/
  - type: GitHubRepository
    url: https://github.com/kserve/kserve
- aid: kubeflow:kubeflow-pipelineversions-api
  name: Kubeflow PipelineVersions API
  description: Manage versions of pipelines
  humanURL: https://www.kubeflow.org/docs/components/pipelines/
  baseURL: https://your-kubeflow-instance/pipeline
  tags:
  - PipelineVersions
  properties:
  - type: OpenAPI
    url: openapi/kubeflow-pipelineversions-api-openapi.yml
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/pipelines/v2/reference/api/kubeflow-pipeline-api-spec/
  - type: GitHubRepository
    url: https://github.com/kubeflow/pipelines
  - type: Documentation
    url: https://kserve.github.io/website/modelserving/v1beta1/
  - type: GitHubRepository
    url: https://github.com/kserve/kserve
common:
- type: AgenticAccess
  url: agentic-access/kubeflow-agentic-access.yml
- type: DomainSecurity
  url: security/kubeflow-domain-security.yml
- type: Authentication
  url: authentication/kubeflow-authentication.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/kubeflow
- type: Website
  url: https://www.kubeflow.org
- type: Documentation
  url: https://www.kubeflow.org/docs/
- type: GettingStarted
  url: https://www.kubeflow.org/docs/started/
- type: Blog
  url: https://blog.kubeflow.org/
- type: GitHubOrg
  url: https://github.com/kubeflow
- type: Community
  url: https://www.kubeflow.org/docs/about/community/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Kubeflow

Kin Score

APIs 8

Kubeflow Metadata API

Katib API

Kubeflow Notebooks API

Kubeflow Central Dashboard API

Kubeflow Experiments API

Kubeflow Health API

Kubeflow Pipelines API

Kubeflow PipelineVersions API

Open Collections 1

Kubeflow Pipelines API

Pricing Plans 1

Kubeflow Plans Pricing

Rate Limits 1

Kubeflow Rate Limits

FinOps 1

Kubeflow Finops

Security Posture 2

Kubeflow Authentication

Kubeflow Domain Security

Agentic Access 1

Kubeflow Agentic Access

Resources