Free Docker Compose Generator

Generate docker-compose.yml files with common services. Free, fast, and works entirely in your browser with no sign-up required.

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Docker Compose Generator

Generate docker-compose.yml files visually. Add services from templates or build custom stacks with full configuration.

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docker-compose.yml

{}

Frequently Asked Questions

What is the Docker Compose Generator?

The Docker Compose Generator is a free online tool that creates docker-compose.yml files with pre-configured services like databases, caches, and web servers.

Is the Docker Compose Generator free?

Yes, it is completely free with no registration required. All file generation happens client-side in your browser.

What services are available?

The Docker Compose Generator includes templates for PostgreSQL, MySQL, MongoDB, Redis, Nginx, Node.js, and many other popular services.

Is my data safe with this tool?

Absolutely. The Docker Compose Generator processes everything client-side in your browser. No data is uploaded to or stored on any server. Your content remains private on your device at all times.

Does the Docker Compose Generator work on mobile devices?

Yes, the Docker Compose Generator is fully responsive and works on smartphones and tablets. You can use it on any device with a modern web browser -- no app download required.

Do I need to create an account to use this tool?

No account or registration is needed. Simply open the Docker Compose Generator in your browser and start using it immediately. There are no sign-up walls or usage restrictions.

What programming languages or formats does this support?

The Docker Compose Generator supports a wide range of popular formats and languages. Check the tool interface for the full list of supported options.

How do I use the Docker Compose Generator?

Simply enter your input in the provided field, adjust any settings to your preference, and the tool will process it instantly. You can then copy the result to your clipboard or download it.

Which browsers are supported?

The Docker Compose Generator works in all modern browsers including Chrome, Firefox, Safari, Edge, and Opera. For the best experience, use the latest version of your preferred browser.

Which Docker Compose file version should I choose, and why does 3.8 omit the version key?

The generator lets you target Compose file versions 2.4, 3, 3.7, 3.8, or 3.9. Versions 2.x and the legacy 3.x line required a top-level "version:" field at the top of the file, but the modern Compose Specification dropped it entirely. That is why selecting 3.8 here produces a file with no "version:" key — current Docker Compose (the "docker compose" plugin) reads the spec and treats that field as obsolete, printing a warning if it is present. Choose 2.4 only if you rely on older features like per-service "mem_limit" without a deploy block; otherwise pick 3.8 for the cleanest, most future-proof output. Set your target version in the tool and the generated YAML adjusts its structure automatically so the file runs without deprecation warnings.

How do I convert a docker run command into a docker-compose.yml file?

Paste your existing "docker run" command into the import box and the generator parses the common flags into a Compose service for you. It reads the image name, "-p" host-to-container port mappings, "-e" environment variables, "-v" volume mounts, and the "--name" you assigned, then writes them as properly indented YAML keys. This is useful when you have a working one-liner from a tutorial or your shell history and want a reusable, version-controllable file instead of a throwaway command. After import you can keep editing — add a restart policy, depends_on, or a healthcheck — and the live preview updates as you go. It turns container commands you already trust into a declarative file you can commit and run with a single "docker compose up" in the tool.

What is the difference between depends_on and a healthcheck for controlling startup order?

They solve related but different problems. "depends_on" only controls the order in which containers start — it makes Docker launch a dependency first, but it does not wait for that service to be ready to accept connections, so a database container can be "started" while still initializing. A healthcheck defines a test command, interval, timeout, retries, and start period that report whether a service is actually healthy. Combining them — depends_on with a "condition: service_healthy" against a defined healthcheck — is what makes one service wait until another is genuinely ready. This generator lets you set depends_on links and configure full healthchecks per service, and its validator warns if a depends_on entry points at a service that does not exist. Build both into your stack in the tool so containers come up in a reliable, dependency-aware sequence.

Why do I get a port conflict or undefined volume error in my compose file?

Both are common mistakes the built-in validator flags before "docker compose up" does. A port conflict happens when two services bind the same host port — for example two services both mapping "8080:80" — since only one process can listen on a given host port at a time; change one side, like "8081:80", to fix it. An undefined volume error means a service references a named volume that was never declared at the top level of the file, so Compose cannot create it. The generator catches these inline as you edit, along with services missing a name or image, duplicate service names, depends_on targets that do not exist, and port mappings missing their container side. Watch the validation warnings in the tool and resolve them before copying, so your stack starts cleanly the first time.

What is the difference between a named volume and a bind mount in Docker Compose?

A named volume is storage that Docker creates and manages itself; you declare it once under the top-level "volumes:" section and reference it by name, and Docker decides where the data physically lives. It is the right choice for database data and other state you want to persist and back up without caring about the host path. A bind mount maps a specific host directory or file straight into the container using a host path, like "./config:/etc/app" — ideal for injecting config files or live-reloading source code during development. Named volumes are more portable across machines; bind mounts give you direct access to files on the host. This generator supports both and warns when a service uses a named volume you forgot to define at the top level. Configure either type per service in the tool and see the YAML written correctly.

About the Docker Compose Generator

The Docker Compose Generator is a free, visual builder for docker-compose.yml files. Instead of remembering YAML indentation, image tags, and environment-variable names, you assemble services from a point-and-click interface and watch the compose file write itself in a live preview. It is aimed at developers spinning up a local stack, DevOps engineers prototyping a deployment, and anyone learning Docker who wants a correct file to start from rather than a blank editor.

Everything runs in your browser. No service definitions, ports, or environment values are uploaded anywhere — there is no sign-up, no account, and nothing is stored on a server. You can build a full multi-service stack, copy it, or download it as docker-compose.yml, all on your own device.

What you can build

The generator gives you three ways to add services. You can drop in a ready-made stack, pull from a library of single-service templates, or define a service from scratch.

  • Pre-built stacks — seven common combinations are one click away: LAMP, MEAN, WordPress, Redis + Node, PostgreSQL + API, and an Nginx reverse-proxy setup, each wired with the right ports, volumes, and links.
  • Service templates — 22 individually configured services grouped into eight categories: databases (PostgreSQL, MySQL, MariaDB, MongoDB, CockroachDB), caches (Redis, Memcached, Valkey), reverse proxies (Nginx, Traefik, Caddy), monitoring (Prometheus, Grafana, Loki), messaging (RabbitMQ, Kafka, NATS), storage (MinIO, Elasticsearch), auth (Keycloak), and app runtimes (Node, Python).
  • Custom services — start from an empty service and fill in only what you need.

Configuration each service supports

Every service exposes the fields you actually use in real compose files, not just an image and a port:

  • Image or build — reference a published image, or switch to a build block with a context, Dockerfile, and build args.
  • Ports — map host-to-container ports, with the generator flagging conflicts between services.
  • Environment variables, volumes, and networks — including named volumes and custom networks managed at the top level.
  • Restart policy, command, and depends_on — control startup order and the default command.
  • Labels and healthchecks — add Docker labels (useful for Traefik routing) and a healthcheck with test, interval, timeout, retries, and start period.

You can also choose the Compose file version — 2.4, 3, 3.7, 3.8, or 3.9. Selecting 3.8 produces the modern format with no top-level version: key, which is what current Docker Compose expects.

Import, validate, and ship

If you already run a container with a long docker run command, paste it into the import box and the generator parses the flags — image, -p ports, -e environment variables, -v volumes, and the name — into a compose service. This turns a throwaway one-liner into a reusable, version-controllable file.

As you edit, a built-in validator surfaces warnings inline so you catch mistakes before docker compose up does:

  • A service missing a name or an image (when build is not enabled).
  • A depends_on entry pointing at a service that does not exist.
  • Two services binding the same host port.
  • A named volume used by a service but never defined at the top level.
  • Duplicate service names, or a port mapping missing its container side.

Why generate compose files this way

A docker-compose.yml file is a single declarative description of an application's services, networks, and volumes, so the whole stack starts with one docker compose up and tears down just as cleanly. The hard part is rarely the concept — it is the YAML, where a stray space or a forgotten volume definition breaks the run. Building the file visually, with live output and validation, gets you a correct, copy-ready file in a fraction of the time, whether you are bootstrapping a new project, documenting a dev environment, or teaching Docker to your team.