vioscale
Comparison

Kubeflow vs MLflow

On the evidence we track, MLflow leads this comparison with a composite score of 76/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Kubeflow full profile →MLflow full profile →
Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Kubeflow47
★MLflow76
Score
Vioscale score
Kubeflow47 / 100low · 44%updating
MLflow76 / 100medium · 63%updating
Pricing
Free tier
Kubeflow✓
MLflow✓
Model
Kubeflowopen_source
MLflowcommercial
Price level
Kubeflowfree
MLflowfree
Transparent
Kubeflow✓
MLflow✓
Integrations
Count
Kubeflow7
MLflow15
Security
Scorecard
Kubeflow5.5
MLflow5.5
Vulnerabilities
Adoption
Dependent repos
Kubeflow40
MLflow5,089
Github stars
Kubeflow15,832
MLflow27,687
Package downloads weekly
Kubeflow–
MLflow9,993,245
Activity
Commits last 30d
Kubeflow3
MLflow100
Release
Cadence days
Kubeflow25
MLflow10
History
Kubeflow20 items
MLflow20 items
License
Spdx
KubeflowApache-2.0
MLflowApache-2.0
Language
Primary
Kubeflow–
MLflowPython

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, open-source platform that provides experiment tracking, model registry, LLM tracing, prompt management, and deployment capabilities across the complete machine learning and AI lifecycle

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 sourceFree tier
as of verify ↗

MLflow

Leader
Open sourceFree tier
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✓

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
28 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
  • +4 more
Independently observed

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