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Coolify vs Dokploy: Which Self-Hosted PaaS Should You Choose? (2026)

· 5 min read
Yassine El Haddad
Software Developer & Automation Specialist

I build production AI agents, web scrapers, and automation pipelines. Most of what I publish here comes from the actual problems they run into: proxies that get banned, anti-bot stacks that fingerprint your client, RAG that drifts when the underlying data moves. Stack: Python, TypeScript, Go, FastAPI, LangChain, Crawlee, Playwright, deployed on AWS, GCP, and Cloudflare.

Coolify and Dokploy both turn a VPS into a Heroku-style platform: push code, get a URL, forget about Nginx configs and SSL certificates. Both are Apache-2.0 licensed, both install with a single command, and both support Docker Compose deployments, Let's Encrypt TLS, Git webhooks, and database provisioning. The difference is scale, maturity, and complexity tolerance.

TL;DR comparison

DimensionCoolifyDokploy
LicenseApache-2.0Apache-2.0
GitHub stars~52.2k~31k
Idle RAM~800 MB~600 MB
Multi-server supportYes (built-in)Yes (v0.14+)
Docker SwarmYesPartial
Preview environmentsYesNo
One-click templates280+~50
UI styleFeature-richCleaner, simpler
Community sizeLargerGrowing
Minimum Liquid Web VPS4 GB4 GB
WinnerFeatures, communityLighter footprint, simpler UI

Setup complexity

Coolify installs with one curl command that drops a Docker Compose stack and a management daemon. Initial setup — connecting your first Git provider, provisioning SSL, deploying a test app — takes about 20–30 minutes. The dashboard is information-dense: servers, networks, volumes, scheduled backups, and team roles are all surfaced at once. That richness becomes helpful once you have a dozen services; it can feel overwhelming at first.

Dokploy follows the same one-command install pattern. The interface is deliberately minimal — fewer panels, fewer options per screen. A developer familiar with Railway or Render will feel at home faster in Dokploy than in Coolify. First deployment typically takes under 15 minutes.

Winner: Dokploy on first-time experience. Coolify's density is a feature for power users.

RAM footprint

Measured idle on a fresh install with no deployed applications:

PlatformIdle RAM
Coolify~800 MB
Dokploy~600 MB

Both figures are before your applications. On a 4 GB VPS with two or three small apps deployed, Coolify leaves about 2.5–3 GB for workloads; Dokploy leaves slightly more. The difference is not significant enough to influence hardware decisions — both fit on a 4 GB VPS.

Winner: Dokploy marginally. Not a deciding factor for most teams.

Features

Coolify is the feature leader by a wide margin:

  • Preview environments: Deploy a live preview URL for every Git branch or pull request. Invaluable for teams doing code review.
  • Docker Swarm mode: Deploy across multiple nodes in a Swarm cluster for high availability.
  • 280+ one-click service templates: Databases, monitoring tools, CMS platforms, analytics, and more — all pre-configured with one click.
  • Scheduled backups: Built-in backup scheduling to S3-compatible storage for databases and volumes.
  • Wildcard SSL: Automatically provision wildcard certificates for *.yourdomain.com via DNS challenge.
  • Team management: Fine-grained roles (owner, admin, developer) per team.

Dokploy covers the core PaaS features reliably:

  • Application deployments (Nixpacks, Dockerfile, Docker Compose)
  • Multi-server support (added in v0.14, stable as of 2026)
  • Database provisioning (PostgreSQL, MySQL, MongoDB, Redis, MariaDB)
  • Let's Encrypt TLS, Git webhooks, rollback
  • Basic monitoring and log streaming

What Dokploy lacks: preview environments, Docker Swarm mode, the template library breadth, and built-in backup scheduling.

Winner: Coolify on raw features. If preview environments or Swarm clustering are on your requirements list, Coolify is the only option here.

Community and ecosystem

Coolify has ~52.2k GitHub stars, a Discord with tens of thousands of members, a maintained documentation site, and a growing library of user-contributed templates. Bug reports get faster responses due to the larger contributor pool.

Dokploy has ~31k stars and a smaller but active Discord. The project is maintained by a focused core team and has matured quickly since its 2024 launch — multi-server support went from experimental to stable within one year.

Winner: Coolify on community size and template ecosystem.

Which should you choose?

Choose Coolify if:

  • You want preview environments for pull requests
  • You need Docker Swarm for multi-node high availability
  • You want a large template library for one-click app deployments
  • You plan to manage 10+ services across multiple servers
  • Community size and long-term ecosystem matter

Choose Dokploy if:

  • You want the cleanest, most approachable UI
  • You are running a small team (under 5 developers, under 10 services)
  • Lighter RAM footprint at idle is a meaningful constraint
  • You do not need preview environments or Swarm mode

Both platforms have setup guides on this site:

Frequently Asked Questions

There is no automated migration path. Both platforms manage Docker Compose stacks, so your application definitions are portable — you would recreate services in Coolify and update DNS. Stateful services (databases with persistent volumes) require a dump-and-restore migration. Plan for 2–4 hours of downtime per stateful service if you migrate.

Coolify supports GitHub, GitLab, Bitbucket, Gitea, and Forgejo — plus any self-hosted Git instance via generic webhooks. Dokploy supports GitHub, GitLab, Bitbucket, and Gitea. Both cover the major providers for most teams.

Dokploy is the better fit for solo developers. The simpler UI, lighter resource footprint, and faster first-deployment experience make it easier to get productive. Coolify's added complexity (Swarm, preview envs, team roles) solves problems that solo developers rarely have. That said, Coolify's template library is genuinely useful even alone — it is the faster path to spinning up a self-hosted Plausible, Outline, or Twenty CRM.