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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Carvel Tools vs Kitematic

Carvel Tools vs Kitematic

OverviewComparisonAlternatives

Overview

Kitematic
Kitematic
Stacks67
Followers116
Votes14
Carvel Tools
Carvel Tools
Stacks0
Followers1
Votes0
GitHub Stars393
Forks133

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Detailed Comparison

Kitematic
Kitematic
Carvel Tools
Carvel Tools

Simple Docker App management for Mac OS X

It provides a set of reliable, single-purpose, composable tools that aid in your application building, configuration, and deployment to Kubernetes.

Mac App with GUI for Docker;Create images from any folder with a Dockerfile in it;Configure environment variables;Check App logs;Easily terminal into apps;Restart apps
Composable set of CLI tools, each can be used independently but work well together; kapp-controller: Declarative APIs and layered approach enables you to build, deploy, and manage your own applications; ytt: Structural YAML templating and patching in one tool powerful too; kapp: Apply changes safely and predictably, watching resources as they converge; kbld: Seamlessly incorporate image building, pushing, and resolution into your development and deployment workflows resulting in configuration with immutable image references; imgpkg: Package, distribute, and relocate your Kubernetes configuration and dependent OCI images as one OCI immutable artifact
Statistics
GitHub Stars
-
GitHub Stars
393
GitHub Forks
-
GitHub Forks
133
Stacks
67
Stacks
0
Followers
116
Followers
1
Votes
14
Votes
0
Pros & Cons
Pros
  • 8
    I like it because it sucks
  • 3
    No command line, Docker in one app, gui, easy to set up
  • 2
    Good for first timer
  • 1
    Easy to get started
No community feedback yet
Integrations
Docker
Docker
Kubernetes
Kubernetes

What are some alternatives to Kitematic, Carvel Tools?

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.

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