Kubeflow Pipelines

Kubeflow Pipelines is a platform for building and deploying portable, scalable machine learning workflows based on Docker containers. It provides a way to orchestrate complex ML workflows with dependencies, enabling data scientists and ML engineers to deploy production-ready ML systems on Kubernetes.

Kubeflow Pipelines publishes 5 APIs on the APIs.io network, including Experiments API, Health API, Pipelines API, and 2 more. Tagged areas include Data Science, Kubernetes, Machine-Learning, MLOps, and Orchestration.

Kubeflow Pipelines’ developer surface includes authentication, documentation, getting-started guide, engineering blog, changelog, and 12 more developer resources.

🌐 Visit website 📡 Source on GitHub

34.1/100 thin ▬ flat Agent 20/100 agent aware Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0

AccessFreemiumSelf serve⚡ Free to try

8 APIs

Data Science Kubernetes Machine-Learning MLOps Orchestration Pipelines Workflows

Kin Score

Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0

Composite quality — 34.1/100 · thin

Contract Quality 11.7 / 25

Developer Ergonomics 7.6 / 20

Access Clarity 3.2 / 20

Operational Transparency 5.1 / 13

Contract Governance 0.0 / 12

Discoverability 6.5 / 10

Agent readiness — 20/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Surface 0 / 5

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-pipelines: 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 Pipelines 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 2

Reference material describing how the API behaves

ContributionGuide

ContributionGuide

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Build 3

SDKs, sample code, and the tooling you integrate with

CodeOfConduct

CodeOfConduct

GitHubOrg

GitHubOrg

GitHubRepository

GitHubRepository

Access & Security 3

Authentication, authorization, and security posture

SecurityPolicy

SecurityPolicy

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 3

Status, limits, changes, and where to get help

IssueTracker

IssueTracker

Community

Community

ChangeLog

ChangeLog

Commercial 1

Pricing, plans, and the legal terms of use

License

License

Company 3

The organization behind the API

LinkedIn

Website

Website

Blog

Blog

Source (apis.yml)

aid: kubeflow-pipelines
name: Kubeflow Pipelines
description: Kubeflow Pipelines is a platform for building and deploying portable, scalable machine learning workflows based
  on Docker containers. It provides a way to orchestrate complex ML workflows with dependencies, enabling data scientists
  and ML engineers to deploy production-ready ML systems on Kubernetes.
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-pipelines.png
tags:
- Data Science
- Kubernetes
- Machine-Learning
- MLOps
- Orchestration
- Pipelines
- Workflows
tags_raw:
- Data Science
- Kubernetes
- Machine Learning
- MLOps
- Orchestration
- Pipelines
- Workflows
url: https://raw.githubusercontent.com/api-evangelist/kubeflow-pipelines/refs/heads/main/apis.yml
created: '2024-01-01'
modified: '2026-04-28'
specificationVersion: '0.23'
apis:
- aid: kubeflow-pipelines:python-sdk
  name: Kubeflow Pipelines Python SDK
  description: Python SDK for building, compiling, and submitting ML pipelines. Provides decorators and utilities to define
    pipeline components and workflows using Python.
  humanURL: https://kubeflow-pipelines.readthedocs.io/
  baseURL: https://pypi.org/project/kfp/
  tags:
  - Client Library
  - DSL
  - Python
  - SDK
  properties:
  - type: Documentation
    url: https://kubeflow-pipelines.readthedocs.io/
  - type: GitHubRepository
    url: https://github.com/kubeflow/pipelines/tree/master/sdk/python
  - type: Examples
    url: https://github.com/kubeflow/pipelines/tree/master/samples
- aid: kubeflow-pipelines:go-client
  name: Kubeflow Pipelines Go Client
  description: Go client library for interacting with the Kubeflow Pipelines API programmatically from Go applications.
  humanURL: https://github.com/kubeflow/pipelines/tree/master/backend/api/go_client
  tags:
  - Client Library
  - Go
  - SDK
  properties:
  - type: Documentation
    url: https://pkg.go.dev/github.com/kubeflow/pipelines/backend/api/go_client
  - type: GitHubRepository
    url: https://github.com/kubeflow/pipelines/tree/master/backend/api/go_client
- aid: kubeflow-pipelines:metadata-api
  name: Kubeflow Pipelines Metadata API
  description: API for tracking and managing metadata about ML artifacts, executions, and lineage information throughout the
    ML pipeline lifecycle, backed by ML Metadata (MLMD).
  humanURL: https://www.kubeflow.org/docs/components/pipelines/concepts/metadata/
  tags:
  - Artifacts
  - Lineage
  - Metadata
  - ML Metadata
  properties:
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/pipelines/concepts/metadata/
  - type: GitHubRepository
    url: https://github.com/google/ml-metadata
- aid: kubeflow-pipelines:kubeflow-pipelines-experiments-api
  name: Kubeflow Pipelines Experiments API
  description: Group runs and recurring jobs into experiments
  humanURL: https://www.kubeflow.org/docs/components/pipelines/reference/api/kubeflow-pipeline-api-spec/
  baseURL: https://your-kubeflow-host/pipeline
  tags:
  - Experiments
  properties:
  - type: OpenAPI
    url: openapi/kubeflow-pipelines-experiments-api-openapi.yml
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/pipelines/reference/api/kubeflow-pipeline-api-spec/
- aid: kubeflow-pipelines:kubeflow-pipelines-health-api
  name: Kubeflow Pipelines Health API
  description: Health and auth checks
  humanURL: https://www.kubeflow.org/docs/components/pipelines/reference/api/kubeflow-pipeline-api-spec/
  baseURL: https://your-kubeflow-host/pipeline
  tags:
  - Health
  properties:
  - type: OpenAPI
    url: openapi/kubeflow-pipelines-health-api-openapi.yml
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/pipelines/reference/api/kubeflow-pipeline-api-spec/
- aid: kubeflow-pipelines:kubeflow-pipelines-pipelines-api
  name: Kubeflow Pipelines Pipelines API
  description: Manage pipeline definitions
  humanURL: https://www.kubeflow.org/docs/components/pipelines/reference/api/kubeflow-pipeline-api-spec/
  baseURL: https://your-kubeflow-host/pipeline
  tags:
  - Pipelines
  properties:
  - type: OpenAPI
    url: openapi/kubeflow-pipelines-pipelines-api-openapi.yml
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/pipelines/reference/api/kubeflow-pipeline-api-spec/
- aid: kubeflow-pipelines:kubeflow-pipelines-pipelineversions-api
  name: Kubeflow Pipelines PipelineVersions API
  description: Manage versions of pipelines
  humanURL: https://www.kubeflow.org/docs/components/pipelines/reference/api/kubeflow-pipeline-api-spec/
  baseURL: https://your-kubeflow-host/pipeline
  tags:
  - PipelineVersions
  properties:
  - type: OpenAPI
    url: openapi/kubeflow-pipelines-pipelineversions-api-openapi.yml
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/pipelines/reference/api/kubeflow-pipeline-api-spec/
- aid: kubeflow-pipelines:kubeflow-pipelines-runs-api
  name: Kubeflow Pipelines Runs API
  description: Pipeline runs
  humanURL: https://www.kubeflow.org/docs/components/pipelines/reference/api/kubeflow-pipeline-api-spec/
  baseURL: https://your-kubeflow-host/pipeline
  tags:
  - Runs
  properties:
  - type: OpenAPI
    url: openapi/kubeflow-pipelines-runs-api-openapi.yml
  - type: Documentation
    url: https://www.kubeflow.org/docs/components/pipelines/reference/api/kubeflow-pipeline-api-spec/
common:
- type: IssueTracker
  url: https://github.com/kubeflow/pipelines/issues
- type: SecurityPolicy
  url: https://github.com/kubeflow/pipelines/blob/master/SECURITY.md
- type: CodeOfConduct
  url: https://github.com/kubeflow/pipelines/blob/master/CODE_OF_CONDUCT.md
- type: ContributionGuide
  url: https://github.com/kubeflow/pipelines/blob/master/CONTRIBUTING.md
- type: License
  name: Apache-2.0
  url: https://github.com/kubeflow/pipelines/blob/master/LICENSE
- type: AgenticAccess
  url: agentic-access/kubeflow-pipelines-agentic-access.yml
- type: DomainSecurity
  url: security/kubeflow-pipelines-domain-security.yml
- type: Authentication
  url: authentication/kubeflow-pipelines-authentication.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/kubeflow
- type: Website
  url: https://www.kubeflow.org/docs/components/pipelines/
- type: Documentation
  url: https://www.kubeflow.org/docs/components/pipelines/
- type: GettingStarted
  url: https://www.kubeflow.org/docs/components/pipelines/getting-started/
- type: GitHubOrg
  url: https://github.com/kubeflow
- type: GitHubRepository
  url: https://github.com/kubeflow/pipelines
- type: Blog
  url: https://blog.kubeflow.org/
- type: Community
  url: https://www.kubeflow.org/docs/about/community/
- type: ChangeLog
  url: https://github.com/kubeflow/pipelines/releases
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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