Convert Figma logo to code with AI

cockpit-project logocockpit

Cockpit is a web-based graphical interface for servers.

10,936
1,091
10,936
435

Top Related Projects

13,861

AWX provides a web-based user interface, REST API, and task engine built on top of Ansible. It is one of the upstream projects for Red Hat Ansible Automation Platform.

30,364

Making Docker and Kubernetes management easy.

4,179

Powerful and flexible web-based server management control panel

7,490

Ajenti Core and stock plugins

70,358

Architected for speed. Automated for easy. Monitoring and troubleshooting, transformed!

Quick Overview

Cockpit is a web-based graphical interface for servers, allowing system administrators to manage and monitor Linux systems through a web browser. It provides an easy-to-use interface for tasks such as starting containers, storage administration, network configuration, and inspecting logs.

Pros

  • User-friendly interface for managing Linux servers
  • Supports a wide range of Linux distributions
  • Extensible through plugins and additional packages
  • Secure, using existing system credentials and permissions

Cons

  • May introduce additional security risks if not properly configured
  • Limited functionality compared to command-line tools for advanced users
  • Requires a web browser, which may not be ideal in all server environments
  • Performance can be slower than native command-line tools for some operations

Getting Started

To install Cockpit on a supported Linux distribution, follow these steps:

  1. Install Cockpit using your distribution's package manager:

    For Fedora/RHEL/CentOS:

    sudo dnf install cockpit
    

    For Ubuntu/Debian:

    sudo apt install cockpit
    
  2. Start and enable the Cockpit service:

    sudo systemctl enable --now cockpit.socket
    
  3. Open your web browser and navigate to https://your-server-ip:9090

  4. Log in using your system credentials

For more detailed instructions and information on additional features, visit the official Cockpit documentation at https://cockpit-project.org/documentation.html

Competitor Comparisons

13,861

AWX provides a web-based user interface, REST API, and task engine built on top of Ansible. It is one of the upstream projects for Red Hat Ansible Automation Platform.

Pros of AWX

  • More extensive automation capabilities for complex infrastructure management
  • Supports a wider range of integrations with various cloud providers and tools
  • Offers role-based access control for team collaboration

Cons of AWX

  • Steeper learning curve due to its complexity
  • Requires more resources to run and maintain
  • Less intuitive for simple system administration tasks

Code Comparison

AWX (Python):

from awx.main.models import Job

job = Job.objects.create(
    name="My Job",
    job_type="run",
    inventory=inventory,
    project=project,
    playbook="playbook.yml"
)
job.launch()

Cockpit (JavaScript):

var client = cockpit.dbus("org.freedesktop.systemd1");
client.call("/org/freedesktop/systemd1",
            "org.freedesktop.systemd1.Manager",
            "StartUnit",
            ["nginx.service", "replace"])
    .done(function() {
        console.log("Service started");
    });

AWX focuses on orchestrating complex automation tasks using Ansible playbooks, while Cockpit provides a more straightforward approach to system management through its web-based interface. AWX's code example demonstrates job creation and execution, whereas Cockpit's code shows direct interaction with system services using D-Bus.

30,364

Making Docker and Kubernetes management easy.

Pros of Portainer

  • More focused on container management, offering deeper Docker-specific features
  • Provides a user-friendly GUI for managing Docker environments, suitable for beginners
  • Supports multiple Docker environments and orchestration platforms (e.g., Kubernetes, Docker Swarm)

Cons of Portainer

  • Less integrated with overall system management compared to Cockpit
  • May require additional setup for advanced networking or storage configurations
  • Limited support for non-container-based services and system-level tasks

Code Comparison

Cockpit (JavaScript):

define([
    "jquery",
    "base1/cockpit",
    "base1/mustache",
], function($, cockpit, Mustache) {
    // Cockpit-specific code
});

Portainer (Go):

func (handler *Handler) proxyContainerAPI(w http.ResponseWriter, r *http.Request) {
    vars := mux.Vars(r)
    id := vars["id"]

    // Portainer-specific container API handling
}

Both projects use different languages and approaches, reflecting their distinct focuses. Cockpit uses JavaScript for its web-based interface, while Portainer employs Go for backend operations, particularly for container management.

4,179

Powerful and flexible web-based server management control panel

Pros of Webmin

  • More extensive feature set, covering a wider range of system administration tasks
  • Longer history and larger user base, resulting in more community support and plugins
  • Supports a broader range of operating systems, including older versions

Cons of Webmin

  • Less modern and intuitive user interface compared to Cockpit
  • Heavier resource usage, which may impact system performance
  • Security concerns due to its extensive access to system functions

Code Comparison

Cockpit (JavaScript):

define([
    "jquery",
    "base1/cockpit",
    "base1/mustache",
], function($, cockpit, Mustache) {
    // Cockpit-specific code
});

Webmin (Perl):

#!/usr/bin/perl
use WebminCore;
init_config();
ui_print_header(undef, $text{'index_title'}, "", undef, 1, 1);
# Webmin-specific code

Both projects use different programming languages and frameworks, reflecting their distinct approaches to system administration interfaces. Cockpit leverages modern web technologies, while Webmin relies on Perl for its core functionality.

7,490

Ajenti Core and stock plugins

Pros of Ajenti

  • More customizable and extensible through plugins
  • Supports a wider range of operating systems, including Windows
  • Lighter resource footprint, suitable for lower-end hardware

Cons of Ajenti

  • Less frequent updates and smaller community compared to Cockpit
  • Not as tightly integrated with systemd and modern Linux features
  • Steeper learning curve for developers due to its plugin architecture

Code Comparison

Ajenti (Python):

@plugin
class SomePlugin(BasePlugin):
    def init(self):
        self.append(self.ui.inflate('some_plugin:main'))

Cockpit (JavaScript):

define([
    "base1/cockpit"
], function(cockpit) {
    "use strict";
    // Plugin logic here
});

Both projects use different programming languages and architectures for their plugin systems. Ajenti uses Python with a class-based approach, while Cockpit employs JavaScript with a module-based structure. This reflects their distinct design philosophies and target environments.

70,358

Architected for speed. Automated for easy. Monitoring and troubleshooting, transformed!

Pros of Netdata

  • More comprehensive real-time monitoring with a focus on performance metrics
  • Highly customizable with a large number of plugins and integrations
  • Lightweight and efficient, with minimal system resource usage

Cons of Netdata

  • Steeper learning curve for configuration and customization
  • Less focus on system management tasks compared to Cockpit
  • May require additional setup for secure remote access

Code Comparison

Netdata configuration (netdata.conf):

[global]
    update every = 1
    memory mode = ram
    history = 3600
    access log = none
    error log = syslog

Cockpit configuration (cockpit.conf):

[WebService]
Origins = https://example.com
ProtocolHeader = X-Forwarded-Proto
AllowUnencrypted = false

Both projects use different configuration approaches, with Netdata using a more detailed YAML-like format and Cockpit using a simpler INI-style format. Netdata's configuration allows for more granular control over monitoring parameters, while Cockpit's configuration focuses on web service settings.

Convert Figma logo designs to code with AI

Visual Copilot

Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.

Try Visual Copilot

README

Cockpit

A sysadmin login session in a web browser

cockpit-project.org

Cockpit is an interactive server admin interface. It is easy to use and very lightweight. Cockpit interacts directly with the operating system from a real Linux session in a browser.

Using Cockpit

You can install Cockpit on many Linux operating systems including Debian, Fedora and RHEL.

Cockpit makes Linux discoverable, allowing sysadmins to easily perform tasks such as starting containers, storage administration, network configuration, inspecting logs and so on.

Jumping between the terminal and the web tool is no problem. A service started via Cockpit can be stopped via the terminal. Likewise, if an error occurs in the terminal, it can be seen in the Cockpit journal interface.

You can also easily add other machines that have Cockpit installed and are accessible via SSH and jump between these hosts.

Development