Docker Swarm Visualizer vs Visual Studio Code

Overview

Visual Studio Code

Stacks186.6K

Followers169.1K

Votes2.3K

GitHub Stars178.2K

Forks35.9K

Docker Swarm Visualizer

Stacks25

Followers108

Votes3

Docker Swarm Visualizer vs Visual Studio Code: What are the differences?

Docker Swarm Visualizer and Visual Studio Code are two popular tools used in the development and management of container-based applications. While both tools offer various features and functionalities, they differ in several key aspects.

Container Orchestration: Docker Swarm Visualizer is primarily focused on container orchestration and provides a graphical representation of the Docker Swarm clusters. It allows users to visualize the nodes and containers within the swarm, providing an overview of the cluster's status and performance. On the other hand, Visual Studio Code is a powerful integrated development environment (IDE) that supports various programming languages and provides extensive features for code editing, debugging, and version control.
User Interface: Docker Swarm Visualizer offers a visual interface that allows users to easily navigate and understand the Docker Swarm cluster. It provides a graphical representation of the cluster topology, allowing users to view the status of individual nodes and containers. In contrast, Visual Studio Code offers a text-based user interface with an emphasis on code editing and development tasks. It provides a customizable editor window with various panels and extensions to enhance the coding experience.
Deployment and Scaling: Docker Swarm Visualizer focuses on providing a graphical representation of the swarm cluster and its components, but it does not provide built-in features for deployment and scaling of applications. On the other hand, Visual Studio Code supports various extensions and integrations that facilitate the deployment and scaling of container-based applications. It provides tools for defining deployment configurations, managing container instances, and scaling application services.
Collaboration and Teamwork: Visual Studio Code offers extensive collaboration features, allowing multiple developers to work on the same codebase simultaneously. It supports features like live sharing, which enables real-time code editing and debugging in a collaborative environment. Docker Swarm Visualizer, on the other hand, does not provide specific collaboration features and focuses more on providing insights into the swarm cluster's current state.
Supported Platforms: Docker Swarm Visualizer is specifically designed to work with Docker Swarm clusters and is tightly integrated with the Docker ecosystem. It can seamlessly visualize and monitor containers running on Docker Swarm. Visual Studio Code, on the other hand, is a platform-agnostic IDE that can be used for any programming language or container orchestrator. It offers a wide range of extensions and integrations for different languages, frameworks, and development workflows.
Purpose and Usage: The main purpose of Docker Swarm Visualizer is to provide a visual representation and monitoring of Docker swarm clusters, allowing users to have a better understanding of their application's infrastructure. It is particularly useful for administrators and operators who need insights into the cluster's performance and status. Visual Studio Code, on the other hand, is aimed at developers and offers a comprehensive set of tools and features for coding, debugging, and deployment of container-based applications.

In Summary, Docker Swarm Visualizer is a tool focused on visualizing Docker Swarm clusters and providing insights into their status, while Visual Studio Code is a versatile IDE with extensive features for code editing, collaboration, and deployment of container-based applications.

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Detailed Comparison

Visual Studio Code	Docker Swarm Visualizer
Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows.	Each node in the swarm will show all tasks running on it. When a service goes down it'll be removed. When a node goes down it won't, instead the circle at the top will turn red to indicate it went down. Tasks will be removed.
Combines UI of a modern editor with code assistance and navigation; Integrated debugging experience	-
Statistics
GitHub Stars 178.2K	GitHub Stars -
GitHub Forks 35.9K	GitHub Forks -
Stacks 186.6K	Stacks 25
Followers 169.1K	Followers 108
Votes 2.3K	Votes 3
Pros & Cons
Pros 341 Powerful multilanguage IDE 310 Fast 194 Front-end develop out of the box 158 Support TypeScript IntelliSense 142 Very basic but free Cons 46 Slow startup 29 Resource hog at times 20 Poor refactoring 14 Poor UI Designer 11 Weak Ui design tools	Pros 1 Easy to deploy 1 Reverse proxy support 1 Stateless
Integrations
No integrations available	Docker Docker Swarm

What are some alternatives to Visual Studio Code, Docker Swarm Visualizer?

Sublime Text

Sublime Text is available for OS X, Windows and Linux. One license is all you need to use Sublime Text on every computer you own, no matter what operating system it uses. Sublime Text uses a custom UI toolkit, optimized for speed and beauty, while taking advantage of native functionality on each platform.

Atom

At GitHub, we're building the text editor we've always wanted. A tool you can customize to do anything, but also use productively on the first day without ever touching a config file. Atom is modern, approachable, and hackable to the core. We can't wait to see what you build with it.

Vim

Vim is an advanced text editor that seeks to provide the power of the de-facto Unix editor 'Vi', with a more complete feature set. Vim is a highly configurable text editor built to enable efficient text editing. It is an improved version of the vi editor distributed with most UNIX systems. Vim is distributed free as charityware.

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.

Notepad++

Notepad++ is a free (as in "free speech" and also as in "free beer") source code editor and Notepad replacement that supports several languages. Running in the MS Windows environment, its use is governed by GPL License.

Emacs

GNU Emacs is an extensible, customizable text editor—and more. At its core is an interpreter for Emacs Lisp, a dialect of the Lisp programming language with extensions to support text editing.

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.

Related Comparisons

Docker Swarm Visualizer vs Visual Studio Code: What are the differences?

Container Orchestration: Docker Swarm Visualizer is primarily focused on container orchestration and provides a graphical representation of the Docker Swarm clusters. It allows users to visualize the nodes and containers within the swarm, providing an overview of the cluster's status and performance. On the other hand, Visual Studio Code is a powerful integrated development environment (IDE) that supports various programming languages and provides extensive features for code editing, debugging, and version control.
User Interface: Docker Swarm Visualizer offers a visual interface that allows users to easily navigate and understand the Docker Swarm cluster. It provides a graphical representation of the cluster topology, allowing users to view the status of individual nodes and containers. In contrast, Visual Studio Code offers a text-based user interface with an emphasis on code editing and development tasks. It provides a customizable editor window with various panels and extensions to enhance the coding experience.
Deployment and Scaling: Docker Swarm Visualizer focuses on providing a graphical representation of the swarm cluster and its components, but it does not provide built-in features for deployment and scaling of applications. On the other hand, Visual Studio Code supports various extensions and integrations that facilitate the deployment and scaling of container-based applications. It provides tools for defining deployment configurations, managing container instances, and scaling application services.
Collaboration and Teamwork: Visual Studio Code offers extensive collaboration features, allowing multiple developers to work on the same codebase simultaneously. It supports features like live sharing, which enables real-time code editing and debugging in a collaborative environment. Docker Swarm Visualizer, on the other hand, does not provide specific collaboration features and focuses more on providing insights into the swarm cluster's current state.
Supported Platforms: Docker Swarm Visualizer is specifically designed to work with Docker Swarm clusters and is tightly integrated with the Docker ecosystem. It can seamlessly visualize and monitor containers running on Docker Swarm. Visual Studio Code, on the other hand, is a platform-agnostic IDE that can be used for any programming language or container orchestrator. It offers a wide range of extensions and integrations for different languages, frameworks, and development workflows.
Purpose and Usage: The main purpose of Docker Swarm Visualizer is to provide a visual representation and monitoring of Docker swarm clusters, allowing users to have a better understanding of their application's infrastructure. It is particularly useful for administrators and operators who need insights into the cluster's performance and status. Visual Studio Code, on the other hand, is aimed at developers and offers a comprehensive set of tools and features for coding, debugging, and deployment of container-based applications.

Docker Swarm Visualizer vs Visual Studio Code

Overview