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Open Source

Kubeflow

Machine Learning Toolkit for Kubernetes

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Our verdict

Not reviewed yet

We have not reviewed Kubeflow yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Kubeflow

Kubeflow is an open-source ML toolkit that runs on Kubernetes, providing components for building and deploying machine learning workflows. It abstracts Kubernetes complexity to let teams define, train, and serve models as containerized pipelines without managing infrastructure directly.

Best for

Teams with Kubernetes infrastructure who need to standardize ML workflows across on-prem or multi-cloud environments

Use cases

  • Orchestrating multi-step training pipelines across distributed clusters
  • Managing model serving and inference at scale on Kubernetes
  • Automating hyperparameter tuning and experiment tracking workflows

Notes

15,700 stars on GitHub. Last updated 2026-05-24. Licensed Apache-2.0.

Pros

  • Runs on any Kubernetes cluster, avoiding vendor lock-in
  • Handles distributed training and serving natively
  • Active community with broad ecosystem integration

Cons

  • Requires existing Kubernetes expertise to operate effectively
  • Steep learning curve for teams new to container orchestration
  • Observability tooling is basic compared to managed ML platforms

Key facts

What we have checked

Latest version
redirect (released 29 Apr 2026)
Checked GitHub
GitHub stars
15,882
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How Kubeflow is growing

GitHub stars

15,700 to 15,882

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to Kubeflow

RecordTypeHow we knowChecked
AirflowAlternative to thisOpen sourceNamed in the listingNot dated
aqueductAlternative to thisOpen sourceNamed in the listingNot dated
ClearMLAlternative to thisOpen sourceNamed in the listingNot dated
DeterminedAlternative to thisOpen sourceNamed in the listingNot dated
FlyteAlternative to thisOpen sourceNamed in the listingNot dated
HamiltonAlternative to thisOpen sourceNamed in the listingNot dated
HopsworksAlternative to thisOpen sourceNamed in the listingNot dated
MetaflowAlternative to thisOpen sourceNamed in the listingNot dated
MLRunAlternative to thisOpen sourceNamed in the listingNot dated
PAIAlternative to thisOpen sourceNamed in the listingNot dated
PolyaxonAlternative to thisOpen sourceNamed in the listingNot dated
PrefectAlternative to thisOpen sourceNamed in the listingNot dated
PrimehubAlternative to thisOpen sourceNamed in the listingNot dated
Seldon-coreAlternative to thisOpen sourceNamed in the listingNot dated
StarwhaleAlternative to thisOpen sourceNamed in the listingNot dated
VDPAlternative to thisOpen sourceNamed in the listingNot dated

Compare

Compare Kubeflow side by side

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released redirect

    Source: GitHub

  2. Released 1.10.0

    Source: GitHub

  3. Released 1.9.2

    Source: GitHub

  4. Released 1.9.1

    Source: GitHub

  5. Released 1.9.0

    Source: GitHub

  6. Released 1.8.0

    Source: GitHub

  7. Released 1.8.0-rc.6

    Source: GitHub

  8. Released 1.8.0-rc.5

    Source: GitHub

  9. Released 1.8.0-rc.4

    Source: GitHub

  10. Released 1.8.0-rc.3

    Source: GitHub

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

Alternatives12 entries
OOSSmediumCatalogue

Airflow

Community

Platform created by the community to programmatically author, schedule and monitor workflows.

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aqueduct

Community

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

★ 519
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ClearML

Community

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

★ 6,715
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Determined

Community

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch

★ 3,225
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Flyte

Community

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

★ 7,056
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Hamilton

Community

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere pytho

★ 2,504
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Hopsworks

Community

Hopsworks - Data-Intensive AI platform with a Feature Store

★ 1,299
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Metaflow

Community

Build, Manage and Deploy AI/ML Systems

★ 10,111
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MLRun

Community

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environ

★ 1,670
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PAI

Community

Resource scheduling and cluster management for AI

★ 2,687
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Polyaxon

Community

Open Source AI Infra & Engineering Control Plane

★ 3,706
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Prefect

Community

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

★ 22,518

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Argo Workflows

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★ 16,728
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Awesome Open MLOps

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The Fuzzy Labs guide to the universe of open source MLOps

★ 482
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Awesome Production Machine Learning

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A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

★ 20,585
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gotoHuman

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Approve and revise critical steps in your AI workflows. Ensure AI-generated content is on-brand, messages to customers are accurate, and high-stakes decisions are made by humans.

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Kaito

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Kubernetes AI Toolchain Operator

★ 950
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Katib

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Automated Machine Learning on Kubernetes

★ 1,685
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Kedro

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Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducib

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Kserve

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Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

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Kueue

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Kubernetes-native Job Queueing

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ModelDB

Community

Open Source ML Model Versioning, Metadata, and Experiment Management

★ 1,747
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Pachyderm

Community

Data-Centric Pipelines and Data Versioning

★ 6,295
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Seldon-core

Community

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

★ 4,752
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