Kitematic vs dockersh Comparison | StackShare | StackShare

Kitematic vs dockersh

Overview

Kitematic

Stacks67

Followers116

Votes14

dockersh

Stacks7

Followers15

Votes4

GitHub Stars1.3K

Forks79

dockersh vs Kitematic: What are the differences?

dockersh: A shell which places users into individual docker containers. dockersh is designed to be used as a login shell on machines with multiple interactive users. When a user invokes dockersh, it will bring up a Docker container (if not already running), and then spawn a new interactive shell in the container's namespace; Kitematic: The easiest way to start using Docker on your Mac. Simple Docker App management for Mac OS X.

dockersh and Kitematic can be categorized as "Container" tools.

dockersh and Kitematic are both open source tools. Kitematic with 10.5K GitHub stars and 1.26K forks on GitHub appears to be more popular than dockersh with 1.28K GitHub stars and 76 GitHub forks.

Detailed Comparison

Kitematic	dockersh
Simple Docker App management for Mac OS X	dockersh is designed to be used as a login shell on machines with multiple interactive users. When a user invokes dockersh, it will bring up a Docker container (if not already running), and then spawn a new interactive shell in the container's namespace.
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	-
Statistics
GitHub Stars -	GitHub Stars 1.3K
GitHub Forks -	GitHub Forks 79
Stacks 67	Stacks 7
Followers 116	Followers 15
Votes 14	Votes 4
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	Pros 1 Privacy 1 Secure 1 Multiple users to ssh onto a single box 1 Isolation
Integrations
Docker	Docker

What are some alternatives to Kitematic, dockersh?

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 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

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

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 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

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

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

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

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 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.