Coolify vs Dokploy: Self-Hosted Vercel for People Who Don't Trust Vercel

You Pushed to Main. Now What?

At some point every home labber or indie dev hits the same wall: Vercel is fine until it isn’t. Maybe the free tier got crunchy, maybe your app hits the 10-second serverless timeout, maybe you just don’t want a VC-backed platform knowing your traffic patterns. Whatever the reason, you end up Googling “self-hosted Vercel alternative” at 11 PM and falling down a rabbit hole.

Two names keep coming up: Coolify and Dokploy. Both promise the same dream — git push, auto-build, auto-deploy, TLS handled, done. Both run on a single VPS. Both are open source. Both will get you off managed platforms without sacrificing the developer experience you’ve grown dependent on.

They’re also genuinely different tools, and picking the wrong one will leave you fighting the UI for a weekend you’ll never get back.

Let’s fix that.

What You’re Actually Getting

Before we compare them, it’s worth naming the thing they both are: a PaaS layer that sits on top of Docker and either Traefik or Nginx, handles DNS/TLS automatically, connects to your Git provider, and gives you a web UI to manage it all. You bring a VPS (or multiple), they bring the orchestration glue.

Neither of these is Kubernetes. Neither tries to be. That’s a feature, not a bug. If you find yourself reaching for Helm charts to deploy a Next.js app, you’ve gone too far.

Coolify

Coolify has been around longer — the project hit v4 (a full rewrite) in late 2023 and has been gaining serious momentum since. It’s built with Laravel on the backend and a custom Alpine.js/Livewire frontend. The team is small but active, the Discord is loud, and Andras (the solo founder) ships constantly.

It supports: static sites, Node/Bun/PHP/Python/Ruby apps, Docker images, Docker Compose stacks, databases (Postgres, MySQL, Redis, MongoDB, ClickHouse), S3-compatible storage, and service templates (think one-click Plausible, Ghost, Umami, etc.). Multi-server support is native — add SSH keys, Coolify talks to remote Docker daemons.

Reverse proxy: Traefik by default, with Caddy as an experimental option. Nginx is NOT used. Traefik handles auto-TLS via Let’s Encrypt automatically.

Dokploy

Dokploy is the newer kid — it launched publicly in early 2024 and has grown fast on the “simpler, cleaner” positioning. Built with Next.js, tRPC, and Prisma — a very modern TypeScript stack. The UI is noticeably cleaner and more polished than Coolify’s out of the box.

It supports: Node/Bun/Python/PHP apps, Docker images, Docker Compose stacks, databases (same lineup as Coolify), and a growing template library. Multi-server support exists but is less mature than Coolify’s. Traefik handles TLS here too — no Nginx in sight.

One notable extra: Dokploy has native monitoring built into the UI — CPU, memory, disk graphs per service without needing to wire up Grafana separately.

Install Experience: Who Gets You Running First

Both tools install via a single curl-pipe-bash. Yes, that’s still cursed. Yes, you’re going to do it anyway.

Coolify:

curl -fsSL https://cdn.coollabs.io/coolify/install.sh | bash

This installs Docker (if missing), pulls the Coolify stack, and starts it on port 8000 (HTTP) and 6001 (websockets). First boot takes a couple minutes. You get an email/password registration screen, set up your server SSH connection, and you’re in. Total time from bare VPS to working UI: about 5 minutes.

The first-run experience is thorough but slightly overwhelming — there are a lot of settings panes. Private key management, team configuration, notification webhooks… it’s all there, but it’s a lot of surface area on day one.

Dokploy:

curl -sSL https://dokploy.com/install.sh | sh

Same pattern. Docker installed if needed, stack comes up, Traefik starts, you hit port 3000. The registration flow feels snappier and the default landing page is cleaner. You’ll feel operational faster, even if you’re doing the same things.

Honest verdict: Dokploy’s first-run experience is smoother. Coolify’s install is equally fast but the UI complexity taxes your cognitive load earlier.

Deploying the Same App on Both

Let’s make this concrete. We’ve got a simple Astro static site on GitHub. Here’s how the deploy flow looks on each platform.

On Coolify

New Resource → Application → GitHub (or public git URL)
Pick repo and branch
Coolify detects it’s a Node project, suggests npm run build and dist/ as the publish dir — correct for Astro
Set your domain, toggle “Generate SSL Certificate”
Deploy

Coolify uses Nixpacks under the hood for language detection and build, falling back to Dockerfile if one exists. For Astro this Just Works. The deploy log streams in real time to the UI — you can watch npm install and the Astro build output live.

The app ends up running as a static file server (using a minimal web server image), fronted by Traefik. No manual Traefik config. First deploy takes ~3 minutes, subsequent deploys ~90 seconds.

Webhook from GitHub for auto-deploy on push: one checkbox, automatic URL provided.

On Dokploy

Create Project → Add Service → Application
GitHub integration, pick repo and branch
Dokploy also detects Node/Astro, build command auto-populated
Add domain in the Domains tab, TLS toggled on
Deploy

The UI flow is more wizard-like and feels intentional. The deploy log is equally visible. Nixpacks is also used here. Build times are comparable.

Where Dokploy earns points: the domain management tab is better organized, and the “Environment” tab for setting env vars is cleaner. Small UX things that add up.

Net result: Both work. Coolify has more knobs visible during setup; Dokploy hides the complexity until you need it.

Where They Diverge: The Stuff That Actually Matters

Docker Compose Support

Both support deploying full Compose stacks. This is huge — it means your multi-service apps (app + Postgres + Redis + worker) deploy as a unit.

Coolify’s Compose support is more battle-tested. You can paste in a Compose file, it’ll parse the services, let you set environment variables per-service, and manage them collectively. It handles the Traefik label injection for you if you want it to, or you can manage labels yourself.

Dokploy handles Compose too, but the env var management across services is slightly clunkier in the current UI. Nothing broken, just more clicking.

Database Management

Coolify has a slick “Databases” section where you spin up Postgres/MySQL/Redis/MongoDB with a click. It generates credentials, shows connection strings, handles backups to S3. The backup story is actually good — scheduled backups to any S3-compatible endpoint (Cloudflare R2, Backblaze B2, Hetzner Object Storage) with retention policies.

Dokploy has database support too, and it’s functional. The backup configuration is there but feels less polished — it works, but Coolify’s backup UI is more mature.

If database backups matter to your setup (and they should), Coolify wins this one clearly.

Multi-Server Support

Coolify has had multi-server support for years. Add your other VPS via SSH key, Coolify’s agent-less approach means it talks to the remote Docker daemon directly. You can target any server for any deployment from one Coolify dashboard. This works reliably and is documented well.

Dokploy added multi-server support more recently. The architecture uses a central Dokploy instance coordinating with remote nodes. It works, but if you’re running a five-server homelab or small fleet of customers’ servers, Coolify’s implementation is more proven.

Service Templates

Coolify has ~100+ one-click service templates: Plausible, Ghost, Umami, Gitea, Vaultwarden, Nextcloud, Uptime Kuma, and on. These are YAML templates that configure the full stack and wire up Traefik. Some are community-contributed and vary in quality, but the good ones are really good.

Dokploy has templates too and the library is growing fast. It’s currently smaller than Coolify’s, but the templates that exist tend to be well-maintained.

Monitoring

This is Dokploy’s clearest win. Built-in service monitoring — CPU, memory, network, disk — visible in the UI per service, no setup required. Coolify has integration points for external monitoring (you can wire up Prometheus, there’s a metrics endpoint) but it doesn’t ship with graphs out of the box.

If you want visibility without installing Grafana separately, Dokploy gives you something useful immediately.

Community and Longevity

Coolify: ~20k GitHub stars, active Discord, regular releases, one-person company with a paying customer tier ($5/month cloud option, self-hosted always free). Andras has been building this publicly for years. The track record is there.

Dokploy: ~13k stars (and growing fast), active GitHub issues, regular releases, also has a cloud tier. Newer but clearly not abandonware.

Both are genuinely active projects. Neither is going to ghost you like that Kubernetes operator you installed in 2021.

The Real-World Compose Setup

If you want to self-host either one with a bit more control over ports and volumes, here’s a minimal Compose approach for Coolify:

version: "3.8"

services:
  coolify:
    image: ghcr.io/coollabsio/coolify:latest
    restart: unless-stopped
    ports:
      - "8000:80"
      - "8443:443"
    volumes:
      - coolify_data:/data/coolify
      - /var/run/docker.sock:/var/run/docker.sock:ro
    environment:
      - APP_ID=your-app-id
      - APP_KEY=base64:your-generated-key
      - DB_PASSWORD=changeme

volumes:
  coolify_data:

In practice, the official install script handles all of this and sets up Traefik alongside it. Use the script unless you have a strong reason not to.

Pick Coolify When…

You’re managing multiple servers from one dashboard
Database backups to S3 are non-negotiable
You want the largest possible library of one-click service templates
You’re deploying complex multi-service Compose stacks
You want the most battle-tested option with the longest track record
You like having every possible setting exposed (the UI respects you enough to show you the complexity)

Pick Dokploy When…

You want a cleaner, more modern UI out of the box
Built-in service monitoring without extra setup
You’re deploying primarily apps and Compose stacks (not heavy on databases)
You prefer a more TypeScript-native codebase if you ever need to dig in
You’re new to self-hosted PaaS and want less cognitive overhead on day one
You’re sold on the “Vercel but mine” pitch and want the aesthetic to match

The Bottom Line

Here’s the honest take: both are excellent. The gap between them is smaller than the gap between either one and “managed PaaS forever.”

If you’re a home labber running a single server with a handful of apps and some databases, Dokploy’s cleaner UX and built-in monitoring make it a satisfying daily driver. If you’re running infrastructure for other people, managing a fleet of servers, or you need serious backup discipline, Coolify’s maturity and feature depth earn it the nod.

What neither of them is: a replacement for thinking about your infrastructure. You still own the VPS, the networking, the DNS, the backup destination, and the 2 AM wake-up when Traefik decides to have opinions. The PaaS layer makes the app deployment part easy. Everything underneath it is still your problem.

That’s the deal when you don’t trust Vercel. Worth it? For most of us: yes, obviously.

Your call.