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

Portainer vs lazydocker

OverviewComparisonAlternatives

Overview

Portainer
Portainer
Stacks506
Followers842
Votes146
lazydocker
lazydocker
Stacks15
Followers44
Votes0
GitHub Stars47.3K
Forks1.5K

Portainer vs lazydocker: What are the differences?

Key differences between Portainer and lazydocker

Portainer and lazydocker are both container management tools, but they have some key differences that set them apart.

  1. User Interface: Portainer provides a web-based graphical user interface (GUI) that allows users to manage their containers, images, volumes, and networks easily. On the other hand, lazydocker offers a terminal-based interface with a more minimalistic and command-line focused approach.
  2. Features: Portainer offers a wide range of features, including container management, image management, volume management, network management, and user access control. In contrast, lazydocker focuses primarily on container management tasks and provides a simplified interface for common container operations.
  3. Ease of Use: Portainer is designed to be user-friendly, with its GUI allowing even novice users to manage containers without extensive knowledge of command-line tools. In comparison, lazydocker assumes a certain level of familiarity with the command line and may require users to be comfortable using terminal commands.
  4. Platform Support: Portainer is a platform-agnostic solution and can be used to manage Docker containers on any operating system that supports Docker. On the other hand, lazydocker is designed specifically for Unix-based systems and may not work optimally on Windows or other non-Unix platforms.
  5. Extensibility: Portainer supports a plugin architecture that allows users to extend its functionality by adding custom plugins. This enables users to tailor the platform to their specific needs. In contrast, lazydocker does not have a plugin system, limiting its extensibility to what is provided out of the box.
  6. Community Support: Portainer has a larger and more active community, which means users can find more resources, tutorials, and assistance online. lazydocker, although gaining popularity, has a smaller community, resulting in relatively fewer online resources and support options.

In summary, Portainer provides a web-based GUI with a broader range of features, while lazydocker offers a terminal-based interface focused on container management tasks on Unix-based systems. Portainer is more user-friendly, platform-agnostic, extensible, and has better community support.

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Detailed Comparison

Portainer
Portainer
lazydocker
lazydocker

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.

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.

Docker management; Docker UI; Docker cluster management; Swarm visualizer; Authentication; User Access Control; Docker container management; Docker service management; Docker overview; Docker console; Docker swarm status; Docker image management; Docker network management; Docker dashboard; Remote HTTP API; Automation
viewing logs; viewing the state of your docker
Statistics
GitHub Stars
-
GitHub Stars
47.3K
GitHub Forks
-
GitHub Forks
1.5K
Stacks
506
Stacks
15
Followers
842
Followers
44
Votes
146
Votes
0
Pros & Cons
Pros
  • 36
    Simple
  • 27
    Great UI
  • 19
    Friendly
  • 12
    Easy to setup, gives a practical interface for Docker
  • 11
    Because it just works, super simple yet powerful
No community feedback yet
Integrations
Docker Swarm
Docker Swarm
Docker Secrets
Docker Secrets
Auth0
Auth0
Kubernetes
Kubernetes
Docker
Docker
Golang
Golang
Docker Compose
Docker Compose
Docker
Docker

What are some alternatives to Portainer, 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.

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.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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