Portainer vs Dockge vs Yacht: Best Container Management Dashboard 2026

Managing containers through the command line works fine for a handful of services. But once you are running a dozen containers across multiple hosts — databases, reverse proxies, monitoring stacks, media servers — clicking around a terminal gets exhausting fast.

A container management dashboard gives you a web-based interface to deploy, monitor, restart, and troubleshoot containers without memorizing every flag in the docker CLI. In this guide, we compare the three leading open-source options: Portainer, Dockge, and Yacht.

Why Use a Container Management Dashboard

You might be comfortable with docker compose up -d and never look back. That is fair for simple setups. But a dashboard adds real value in several scenarios:

• Multi-user environments — Give team members access to specific containers without handing out SSH keys or sudo privileges. Role-based access control keeps things tidy.
• Quick troubleshooting — See container logs, resource usage, and health status in one place instead of running docker logs, docker stats, and docker inspect in sequence.
• Stack management — Deploy entire compose stacks with environment variable forms, volume mapping UIs, and network configuration — no YAML editing required.
• Template-driven deployments — One-click installs for common services like nextcloud, Home Assistant, or Grafana, with sane defaults already filled in.
• Remote management — Monitor containers on a headless NAS, VPS, or Raspberry Pi from your laptop or phone.
• Registry integration — Pull images, scan for vulnerabilities, and manage private registries without switching contexts.

If you run more than five containers regularly, a dashboard pays for itself in time saved.

Quick Comparison Table

Portainer — The Full-Featured Enterprise Choice

Portainer is the most mature and widely adopted container management platform. The Business Edition (BE) is free and open-source, while the Enterprise Edition (EE) adds advanced features like Kubernetes support, RBAC, and edge computing management.

Portainer has been around since 2016 and has a large community, extensive documentation, and regular releases. It supports Docker standalone, Docker Swarm, and Kubernetes (EE).

Key Features

• Visual compose editor — Build Docker Compose files through a form-based UI with auto-complete for image names and environment variables.
• App templates — Deploy popular applications with pre-configured stacks. Portainer ships with dozens of built-in templates.
• Registry management — Connect to Docker Hub, GitLab Container Registry, GitHub Packages, AWS ECR, and private registries.
• Network and volume management — Create, inspect, and remove Docker networks and volumes from the UI.
• Container exec — Open a web-based terminal directly into any running container.
• Event logging — Track every container lifecycle event with timestamps and user attribution.

Installation

The quickest way to deploy Portainer is with a single Docker command:

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docker volume create portainer_data

docker run -d \
  --name portainer \
  --restart unless-stopped \
  -p 9000:9000 \
  -p 9443:9443 \
  -v /var/run/docker.sock:/var/run/docker.sock \
  -v portainer_data:/data \
  portainer/portainer-ce:latest

After the container starts, open http://your-server:9000 to create your admin account. Portainer will detect the local Docker environment automatically.

For a Docker Compose deployment — which makes backups and updates cleaner:

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version: "3.8"

services:
  portainer:
    image: portainer/portainer-ce:latest
    container_name: portainer
    restart: unless-stopped
    ports:
      - "9000:9000"
      - "9443:9443"
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
      - portainer_data:/data

volumes:
  portainer_data:

Save this as docker-compose.yml and run docker compose up -d.

Managing Agents for Multi-Host Setups

If you want to manage Docker on multiple servers from a single Portainer instance, deploy the Portainer Agent on each remote host:

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docker run -d \
  -p 9001:9001 \
  --name portainer-agent \
  --restart unless-stopped \
  -v /var/run/docker.sock:/var/run/docker.sock \
  -v /var/lib/docker/volumes:/var/lib/docker/volumes \
  portainer/agent:latest

Then add the remote endpoint in Portainer under Environments > Add Environment > Docker > Agent.

When Portainer Makes Sense

• You need to manage containers across multiple servers
• You want enterprise features like LDAP/AD integration and audit logging
• You run Docker Swarm or need Kubernetes management
• You need granular team and user permissions
• You want the most battle-tested, widely supported option

Limitations

• The Business Edition lacks some features reserved for the paid EE tier (RBAC, Kubernetes, edge compute)
• Resource-heavy compared to lighter alternatives
• The UI can feel overwhelming for simple single-host setups
• Requires a volume mount and database for its own state

Dockge — The Compose-First Minimalist

Dockge takes a different philosophy: instead of storing stack configurations in its own database, it manages Docker Compose files directly on disk. Every stack you create in Dockge is a real docker-compose.yml file in a directory you choose. This means you can edit the same files with vim, version-control them with Git, and never worry about vendor lock-in.

Dockge is created by the same developer behind Uptime Kuma, so it shares the same polished UI approach and focus on simplicity.

Key Features

• File-based stacks — Every compose stack is a real YAML file on your filesystem. No hidden databases, no lock-in.
• Built-in compose editor — Syntax-highlighted YAML editor with live validation. Changes are saved directly to disk.
• Conversion tool — Paste a docker run command and Dockge converts it to a proper Compose file automatically.
• Git integration — Point Dockge at a Git repository and manage stacks that way. Perfect for infrastructure-as-code workflows.
• Lightweight — Single container, no external dependencies, starts in seconds.
• Clean UI — Modern interface that focuses on what matters: your stacks and their status.

Installation

Dockge runs as a single container. The compose file below sets it up with its own management stack:

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version: "3.8"

services:
  dockge:
    image: louislam/dockge:1
    container_name: dockge
    restart: unless-stopped
    ports:
      - "5001:5001"
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
      - dockge_data:/opt/dockge/data
      - /opt/stacks:/opt/stacks
    environment:
      - DOCKGE_STACKS_DIR=/opt/stacks

volumes:
  dockge_data:

The key configuration is DOCKGE_STACKS_DIR — this tells Dockge where to store your compose files. The /opt/stacks directory gets bind-mounted so every stack is a real directory with a real docker-compose.yml.

Start it up:

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mkdir -p /opt/stacks
docker compose up -d

Open http://your-server:5001 and create your admin account.

How Dockge Organizes Stacks

Each stack in Dockge is a directory under /opt/stacks:

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/opt/stacks/
├── nextcloud/
│   └── docker-compose.yml
├── monitoring/
│   ├── docker-compose.yml
│   └── .env
└── media-server/
    └── docker-compose.yml

You can navigate to /opt/stacks/nextcloud and edit the compose file manually, commit it to Git, or let Dockge handle it through the web UI. Both approaches work simultaneously — there is no conflict.

When Dockge Makes Sense

• You want your compose files to live on disk, not in a proprietary database
• You prefer simplicity over feature breadth
• You use Git to version-control your infrastructure
• You are coming from Uptime Kuma and like the UI style
• You manage a single host or a small number of servers

Limitations

• No multi-host management
• No built-in registry management
• No team/RBAC features — single admin user
• No container exec terminal
• Less mature ecosystem than Portainer

Yacht — The Lightweight Alternative

Yacht aims to be the simplest possible Docker management UI. It is built with Python and Flask, making it one of the lightest options in terms of resource consumption. Yacht focuses on the essentials: deploying templates, managing containers, and monitoring basic resource usage.

Key Features

• Template gallery — Deploy applications from a curated template library. Templates are community-contributed and cover popular self-hosted apps.
• Project-based organization — Group containers into projects for cleaner organization. Each project maps to a Docker Compose stack.
• User management — Create multiple user accounts with different permission levels.
• API access — Yacht exposes a REST API for programmatic container management.
• Low resource footprint — Runs comfortably on a Raspberry Pi with 512 MB of RAM.
• Volume browser — Inspect the contents of Docker volumes through the web UI.

Installation

Yacht deploys as a single container:

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version: "3.8"

services:
  yacht:
    image: selfhostedpro/yacht:latest
    container_name: yacht
    restart: unless-stopped
    ports:
      - "8000:8000"
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
      - yacht_data:/config

volumes:
  yacht_data:

Start the service:

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docker compose up -d

The default credentials are admin@yacht.local / pass. Change these immediately after first login.

Creating Custom Templates

Yacht templates are JSON files that define the compose configuration:

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{
  "name": "Nextcloud",
  "description": "Self-hosted cloud storage and collaboration platform",
  "logo": "https://example.com/nextcloud-logo.png",
  "network": "bridge",
  "containers": [
    {
      "name": "nextcloud-app",
      "image": "nextcloud:latest",
      "ports": ["8080:80"],
      "env": {
        "MYSQL_HOST": "nextcloud-db",
        "MYSQL_PASSWORD": "${MYSQL_PASSWORD}"
      },
      "volumes": ["nextcloud-data:/var/www/html"]
    },
    {
      "name": "nextcloud-db",
      "image": "mariadb:10",
      "env": {
        "MYSQL_ROOT_PASSWORD": "${MYSQL_ROOT_PASSWORD}",
        "MYSQL_PASSWORD": "${MYSQL_PASSWORD}",
        "MYSQL_DATABASE": "nextcloud",
        "MYSQL_USER": "nextcloud"
      },
      "volumes": ["nextcloud-db-data:/var/lib/mysql"]
    }
  ]
}

Save this as a JSON file and import it through Templates > Add Template. Variables like ${MYSQL_PASSWORD} prompt the user for values during deployment.

When Yacht Makes Sense

• You are running on resource-constrained hardware (Raspberry Pi, low-end VPS)
• You want basic multi-user access without enterprise complexity
• You need a REST API for automation scripts
• You prefer Python-based tooling
• You want something between raw CLI and a full platform

Limitations

• Less active development compared to Portainer and Dockge
• Smaller community and fewer community templates
• No Swarm or Kubernetes support
• UI is functional but less polished than competitors
• Limited logging and monitoring capabilities

Head-to-Head: Performance and Resource Usage

To give you a concrete sense of how these tools compare in practice, here is a rough benchmark on a standard VPS (2 vCPU, 4 GB RAM):

Yacht is clearly the lightest option. Portainer uses the most resources but offers the most features. Dockge sits comfortably in the middle — lightweight but with a modern, responsive UI.

Migration Paths Between Tools

From Portainer to Dockge

Portainer stores stack definitions in its internal database. To migrate:

1. Export each stack’s compose file from Portainer’s Stacks > Editor view
2. Create the corresponding directory under /opt/stacks/ on the Dockge host
3. Paste the compose content into docker-compose.yml
4. Dockge auto-detects the new stack on next refresh

From Docker CLI to Any Dashboard

If you have been managing containers purely through CLI commands, you can generate Compose files from running containers:

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# Install the compose-generator tool
pip install docker-compose-generator

# Or use the reciprocal command
docker run --rm -v /var/run/docker.sock:/var/run/docker.sock \
  ghcr.io/gh640/recip:latest \
  container_name > docker-compose.yml

This gives you a starting point that you can then import into Dockge, Portainer, or Yacht.

Recommendation: Which One Should You Choose?

Choose Portainer if:

• You manage containers across multiple servers or data centers
• You need enterprise features (RBAC, LDAP, audit logs)
• You want the most mature, well-documented platform
• You plan to adopt Docker Swarm or Kubernetes

Choose Dockge if:

• You want compose files stored as plain text on disk
• You value simplicity and a clean UI
• You use Git for infrastructure version control
• You manage a single server or a small homelab

Choose Yacht if:

• You are running on hardware with tight resource constraints
• You need basic multi-user support
• You want a REST API for automation
• You prefer Python-based tools and want something lightweight

Conclusion

All three tools solve the same fundamental problem — making container management accessible through a web interface — but they take very different approaches. Portainer is the comprehensive platform, Dockge is the compose-first minimalist, and Yacht is the lightweight workhorse.

For most homelab users and small teams, Dockge offers the best balance of simplicity and functionality. The file-based approach means you never lose access to your configurations, and the UI is clean enough that you actually enjoy using it. If you need multi-host management or enterprise features, Portainer remains the gold standard. And if every megabyte of RAM counts, Yacht gets the job done with minimal overhead.

Pick the one that matches your scale, deploy it with the compose files above, and say goodbye to typing docker ps for the hundredth time today.

Frequently Asked Questions (FAQ)

Which one should I choose in 2026?

The best choice depends on your specific requirements:

• For beginners: Start with the simplest option that covers your core use case
• For production: Choose the solution with the most active community and documentation
• For teams: Look for collaboration features and user management
• For privacy: Prefer fully open-source, self-hosted options with no telemetry

Refer to the comparison table above for detailed feature breakdowns.

Can I migrate between these tools?

Most tools support data import/export. Always:

1. Backup your current data
2. Test the migration on a staging environment
3. Check official migration guides in the documentation

Are there free versions available?

All tools in this guide offer free, open-source editions. Some also provide paid plans with additional features, priority support, or managed hosting.

How do I get started?

1. Review the comparison table to identify your requirements
2. Visit the official documentation (links provided above)
3. Start with a Docker Compose setup for easy testing
4. Join the community forums for troubleshooting