slug: kubeflow-pipelines
provider: Kubeflow Pipelines
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 4
edges:
- tag: Experiments
  spec_file: kubeflow-pipelines-experiments-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /apis/v2beta1/experiments createExperiment; 'platform for building and deploying portable,
    scalable machine learning workflows'
  reason: Experiments here are ML pipeline run groupings in Kubeflow — AI/ML model lifecycle and MLOps,
    not product A/B testing (BC-4280).
- tag: Pipelines
  spec_file: kubeflow-pipelines-pipelines-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: 'POST /apis/v2beta1/pipelines  createPipeline ... POST /apis/v2beta1/pipelines/upload  uploadPipeline  Upload
    a pipeline package — vendor: ''platform for building and deploying portable, scalable machine learning
    workflows'''
  reason: CRUD over ML pipeline definitions on a machine-learning orchestration platform — MLOps / AI
    model lifecycle management.
- tag: Pipeline Versions
  spec_file: kubeflow-pipelines-pipeline-versions-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /apis/v2beta1/pipelines/{pipeline_id}/versions  createPipelineVersion  Create a pipeline
    version; schema PipelineVersion
  reason: Versioning of ML workflow pipelines on an ML platform is part of the AI/ML model lifecycle and
    MLOps tooling; the narrower L2 fits, though it is versioning of workflow artefacts specifically.
- tag: Runs
  spec_file: kubeflow-pipelines-runs-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: GET /apis/v2beta1/runs  listRuns  List pipeline runs
  reason: Execution records of ML pipeline runs on an ML workflow platform; belongs to AI/ML lifecycle
    (MLOps) management, though the single read operation is thin evidence.