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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Ctop vs lazydocker

Ctop vs lazydocker

OverviewComparisonAlternatives

Overview

Ctop
Ctop
Stacks108
Followers40
Votes0
GitHub Stars17.2K
Forks577
lazydocker
lazydocker
Stacks15
Followers44
Votes0
GitHub Stars47.3K
Forks1.5K

Ctop vs lazydocker: What are the differences?

Introduction: When comparing Ctop and lazydocker, it is essential to understand the key differences between the two tools for managing containers efficiently.

  1. User Interface: Ctop provides a minimal and customizable user interface showing detailed information about containers in a tabular format, while lazydocker offers a more feature-rich and interactive interface with color-coded visuals for better container management.
  2. Features: Ctop focuses on providing essential container metrics like CPU, memory, and network usage, whereas lazydocker offers additional features such as logs viewer, interactive container management, and inline container stats for a more comprehensive container management experience.
  3. Customization: Ctop offers limited customization options for the user interface, while lazydocker allows users to customize the layout, color schemes, and keybindings according to their preferences for a personalized container management experience.
  4. Resource Usage: Ctop is known for its lightweight and efficient design, consuming fewer system resources compared to lazydocker, which may require more resources due to its feature-rich interface and additional functionalities.
  5. Ease of Use: Ctop is designed to be a simple and straightforward tool for monitoring containers, making it ideal for users looking for a no-frills container management solution, while lazydocker provides a more interactive and intuitive interface, catering to users who prefer a more visually appealing and feature-rich experience.
  6. Community Support: Ctop has a widespread user base and active community support, with regular updates and bug fixes, while lazydocker, being a relatively newer tool, may have fewer resources and community support available for troubleshooting and development.

In Summary, understanding the key differences between Ctop and lazydocker can help users choose the tool that best fits their container management needs based on factors like interface preferences, feature requirements, resource constraints, ease of use, and community support.

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Detailed Comparison

Ctop
Ctop
lazydocker
lazydocker

Top-like interface for container metrics. Ctop provides a concise and condensed overview of real-time metrics for multiple containers, as well as an expanded view for inspecting a specific container.

It is a terminal UI for both docker and docker-compose, written in Go with the gocui library. It has all the information you need in one terminal window with every common command living one keypress away.

-
viewing logs; viewing the state of your docker
Statistics
GitHub Stars
17.2K
GitHub Stars
47.3K
GitHub Forks
577
GitHub Forks
1.5K
Stacks
108
Stacks
15
Followers
40
Followers
44
Votes
0
Votes
0
Integrations
Docker
Docker
Golang
Golang
Docker Compose
Docker Compose
Docker
Docker

What are some alternatives to Ctop, lazydocker?

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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