StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Helm Charts
  5. Helm vs minikube

Helm vs minikube

OverviewComparisonAlternatives

Overview

Helm
Helm
Stacks1.4K
Followers911
Votes18
minikube
minikube
Stacks110
Followers262
Votes3
GitHub Stars31.1K
Forks5.1K

Helm vs minikube: What are the differences?

Key Differences between Helm and minikube

Helm and minikube are two popular tools in the Kubernetes ecosystem, but they serve different purposes and have distinct features. Below are the key differences between Helm and minikube:

  1. Installation and Configuration:

    • Helm is a package manager for Kubernetes applications, allowing users to define, install, and manage applications as Helm charts. It requires a separate installation process and configuration to set up the Helm client and server components.
    • minikube, on the other hand, is a lightweight tool that sets up a single-node Kubernetes cluster on a local machine. It provides a simplified installation process and is primarily used for local development and testing purposes.
  2. Application Deployment:

    • Helm is focused on application deployment and lifecycle management. It allows users to package their applications as Helm charts, which can be easily deployed and managed with Helm commands. Helm provides features like versioning, rollbacks, and upgrades, making it suitable for use in production environments.
    • minikube, on the other hand, provides a local Kubernetes cluster environment but does not directly offer application deployment capabilities. Users can still manually deploy applications to the minikube cluster using Kubernetes YAML files or other deployment tools.
  3. Environment Isolation:

    • Helm charts can be deployed to any Kubernetes cluster, including a minikube cluster. This allows for application portability and deployment across different environments, such as development, staging, and production.
    • minikube, on the other hand, is primarily designed for local development and testing. It sets up a standalone Kubernetes cluster on a single machine and does not provide features for managing multiple environments or clusters.
  4. Dependency Management:

    • Helm supports dependency management, allowing users to define and manage dependencies between different Helm charts. This is useful when an application relies on other services or components that need to be deployed and managed together.
    • minikube does not have built-in dependency management capabilities as it focuses on providing a local Kubernetes environment. Users can manually manage dependencies by deploying the necessary services or components to the minikube cluster.
  5. Community and Ecosystem:

    • Helm has a large and active community, with a wide range of Helm charts available for various applications and services. The Helm ecosystem includes tools like Helmfile for managing chart versions and Helm plugins for extending Helm's functionality.
    • minikube also has a dedicated user community, but it is comparatively smaller than Helm's community. While minikube is primarily used as a local development environment, it benefits from the broader Kubernetes community and ecosystem.
  6. Use Cases:

    • Helm is well-suited for deploying complex applications or microservices architectures to Kubernetes clusters. It provides a declarative approach to application deployment and offers tools and features for managing application versions, rollbacks, and upgrades.
    • minikube is mainly used for local development and testing. It provides a convenient way to spin up a Kubernetes cluster on a local machine, enabling developers to iterate and test their applications quickly.

In summary, Helm is a package manager and application deployment tool for Kubernetes, while minikube is a lightweight tool that sets up a local Kubernetes cluster. Helm focuses on application lifecycle management and provides features like dependency management and versioning. Minikube is primarily used for local development and testing purposes.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Helm
Helm
minikube
minikube

Helm is the best way to find, share, and use software built for Kubernetes.

It implements a local Kubernetes cluster on macOS, Linux, and Windows. Its goal is to be the tool for local Kubernetes application development and to support all Kubernetes features that fit.

-
Local Kubernetes; LoadBalancer; Multi-cluster
Statistics
GitHub Stars
-
GitHub Stars
31.1K
GitHub Forks
-
GitHub Forks
5.1K
Stacks
1.4K
Stacks
110
Followers
911
Followers
262
Votes
18
Votes
3
Pros & Cons
Pros
  • 8
    Infrastructure as code
  • 6
    Open source
  • 2
    Easy setup
  • 1
    Support
  • 1
    Testa­bil­i­ty and re­pro­ducibil­i­ty
Pros
  • 1
    Easy setup
  • 1
    Can use same yaml config I'll use for prod deployment
  • 1
    Let's me test k8s config locally
Integrations
Docker
Docker
Kubernetes
Kubernetes
Windows
Windows
Linux
Linux
macOS
macOS

What are some alternatives to Helm, minikube?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot