Helm vs Kubeflow: Key Differences & When to Use Each

Comprehensive side-by-side comparison of features, pricing, and metrics

Key Differences

Compare Helm and Kubeflow across features, pricing, integrations, and community metrics. Helm / Kubeflow.

Feature

Helm

Package Manager

Kubeflow

Machine Learning

Side-by-side comparison of developer tools
Package manager for Kubernetes
Machine learning toolkit for Kubernetes
GitHub Stars
⭐ 29,938
⭐ 15,756
Contributors
👥 1,010
👥 327
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Go
Features
  • • Chart
  • • Charts
  • • Cncf
  • • Helm
  • • Kubernetes
  • • Google Kubernetes Engine
  • • Jupyter
  • • Kubeflow
  • • Kubernetes
  • • Machine Learning
Integrations
  • • kubernetes
  • • kubernetes
Momentum Score
70/100 (stable)
46/100 (stable)
Community Health
74/100 (good)
43/100 (developing)
Maturity Index
67/100 (growing)
37/100 (experimental)
Innovation Score
75/100 (innovative)
52/100 (evolving)
Risk Score (higher is safer)
68/100 (low)
37/100 (medium)
Developer Experience
54/100 (needs-improvement)
36/100 (poor)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Helm Strengths

  • ✓ More popular (29,938 stars)
  • ✓ Larger community (1,010 contributors)

Kubeflow Strengths

When to Use Helm vs Kubeflow

Use Helm when its strengths align better with your stack and team needs, and choose Kubeflow when its ecosystem, integrations, or cost profile is a better fit.

Related comparisons

Helm vs Kubernetes → Kubeflow vs TensorFlow → Helm vs Docker → Kubeflow vs PyTorch → Helm vs MinIO → Kubeflow vs Scikit-learn → Helm vs Istio → Kubeflow vs MLflow → Helm vs Docker Compose → Kubeflow vs DVC → Helm vs Drone → Kubeflow vs Kubernetes →

More Comparisons

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Data source: GitHub API

Last updated: 7/2/2026