Kubeflow Pipelines

E457355
Kubeflow component ML workflow orchestration platform open-source software

Kubeflow Pipelines is a platform for building, deploying, and managing end-to-end machine learning workflows on Kubernetes using containerized components.

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Statements (60)

Predicate Object
instanceOf Kubeflow component ⓘ
ML workflow orchestration platform ⓘ
open-source software ⓘ
compatibleWith Amazon Elastic Kubernetes Service NERFINISHED ⓘ
Azure Kubernetes Service NERFINISHED ⓘ
Google Kubernetes Engine NERFINISHED ⓘ
on-premises Kubernetes clusters ⓘ
designedFor MLOps NERFINISHED ⓘ
reproducible ML workflows ⓘ
scalable ML pipelines ⓘ
developedBy Kubeflow community NERFINISHED ⓘ
enables collaboration between data scientists and engineers ⓘ
reproducible experiments ⓘ
sharing of pipeline components ⓘ
hasComponent Kubeflow Pipelines API server NERFINISHED ⓘ
Kubeflow Pipelines UI NERFINISHED ⓘ
Kubeflow Pipelines persistence agent NERFINISHED ⓘ
Kubeflow Pipelines scheduled workflow controller NERFINISHED ⓘ
ML Metadata store NERFINISHED ⓘ
language Python NERFINISHED ⓘ
license Apache License 2.0 ⓘ
partOf Kubeflow NERFINISHED ⓘ
provides REST API ⓘ
web-based user interface ⓘ
repository https://github.com/kubeflow/pipelines ⓘ
runsOn Kubernetes NERFINISHED ⓘ
supports A/B testing of models ⓘ
CI/CD for ML (MLOps) ⓘ
DSL-based pipeline definition ⓘ
GPU-enabled steps ⓘ
ML metadata tracking ⓘ
Python-based pipeline definition ⓘ
artifact tracking ⓘ
batch inference workflows ⓘ
caching of pipeline steps ⓘ
conditional execution ⓘ
containerized components ⓘ
custom components ⓘ
data preprocessing workflows ⓘ
distributed training workflows ⓘ
end-to-end machine learning workflows ⓘ
experiment tracking ⓘ
hyperparameter tuning workflows ⓘ
loops in pipelines ⓘ
model deployment workflows ⓘ
multi-step ML workflows ⓘ
online inference workflows ⓘ
parameterized pipelines ⓘ
pipeline authoring ⓘ
pipeline debugging ⓘ
pipeline execution ⓘ
pipeline scheduling ⓘ
pipeline versioning ⓘ
pipeline visualization ⓘ
resource configuration per step ⓘ
reusable pipeline components ⓘ
uses Argo Workflows NERFINISHED ⓘ
Docker containers ⓘ
Kubernetes Custom Resource Definitions NERFINISHED ⓘ
Tekton Pipelines NERFINISHED ⓘ

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

TensorFlow Extended → supportsOrchestrator → Kubeflow Pipelines ⓘ