Comparison

Kubeflow vs MLflow

On the evidence we track, MLflow leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Kubeflow46
★MLflow70
Score
vioscaleAI score
Kubeflow46 / 100low · 43%
MLflow70 / 100medium · 67%
Pricing
Free tier
Kubeflow✓
MLflow✓
Model
Price level
Kubeflowfree
MLflowfree
Transparent
Kubeflow✓
MLflow✓
Integrations
Count
Kubeflow7
MLflow9
Adoption
Dependent repos
Kubeflow40
MLflow5,089
Github stars
Kubeflow15,902
MLflow28,260
Package downloads weekly
Kubeflow–
MLflow9,993,245
Activity
Commits last 30d
Kubeflow1
MLflow100
Release
Cadence days
Kubeflow25
MLflow9
History
Kubeflow20 items
MLflow20 items
License
Spdx
KubeflowApache-2.0
Language
Primary
Kubeflow–
MLflowPython
Content
Faq
Kubeflow6 items
MLflow6 items

Capabilities

Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.

Core
Tool role
KubeflowEnd-to-end ML platform
MLflowEnd-to-end ML platform
Deployment
Self-hostable / OSS core
Kubeflow✓
MLflow✓
Managed cloud available
Kubeflow✗
MLflow✓
On-prem / VPC deployment
Kubeflow✓
MLflow✓
Observability
LLM tracing / observability
Kubeflow-
MLflow✓
Evaluation (offline / LLM-judge / human)
Kubeflow-
MLflow✓
Dev
Prompt management + versioning
Kubeflow-
MLflow✓
Tracking
Experiment tracking / model registry
Kubeflow✓
MLflow✓
Serving
Model serving / inference endpoint
Kubeflow✓
MLflow✓
Interop
OpenTelemetry / OpenLLMetry compatible
Kubeflow-
MLflow✓
Framework-agnostic
Kubeflow✓
MLflow✓
Gateway
Multi-provider model support
Kubeflow✓
MLflow✓
Data
No-train-on-customer-data guarantee
KubeflowYes
MLflow-

What each one is

The product in its own terms, so the numbers below have context.

Kubeflow

Kubeflow is an open-source platform that provides composable, Kubernetes-native tools for the entire AI lifecycle, including model training, hyperparameter tuning, pipeline orchestration, model management, and notebook environments. It enables AI teams to build scalable ML systems on any Kubernetes infrastructure.

Independently observed

MLflow

Leader

A comprehensive platform that helps teams debug, evaluate, monitor, and optimize production AI applications. Provides experiment tracking, prompt management, model deployment, systematic evaluation tools, and a unified API gateway for managing access to multiple LLM providers with cost controls.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Kubeflow

Open source
as of verify ↗

MLflow

Leader
Open source
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Kubeflow✓
MLflow✓
CLI
Kubeflow✓
MLflow✓
Deployment
Cloud / SaaS
Kubeflow✓
MLflow✓
Self-hosted
Kubeflow✓
MLflow✓
On-premise
Kubeflow✓
MLflow✓
Hybrid
Kubeflow✓
MLflow✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Kubeflow

9 total
  • PyTorch
  • TensorFlow
  • JAX
  • XGBoost
  • Spark
  • HuggingFace
  • DeepSpeed
  • Megatron
  • MLX
Independently observed

MLflow

Leader
32 total
  • Databricks
  • AWS S3
  • Google Cloud Storage
  • Azure Storage
  • AzureML
  • Kubernetes
  • LangChain
  • Pydantic AI
  • Anthropic Claude
  • OpenAI
  • Google Gemini
  • SAP AI Core
  • JFrog
  • Aliyun
  • PostgreSQL
  • MySQL
  • MSSQL
  • Claude Code
  • OpenAI Codex
  • Gemini
  • Anthropic
  • Ollama
  • OpenClaw
  • Qwen Code
  • +8 more
Independently observed
Still deciding?

Kubeflow or MLflow: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.