# Can Hallmark Be Used with Docker? Complete Containerization Guide

> Yes, Hallmark integrates seamlessly with Docker. Learn how to containerize your Hallmark static site with this complete guide and easily deploy your web applications.

- Repository: [Hassan El Mghari/hallmark](https://github.com/Nutlope/hallmark)
- Tags: how-to-guide
- Published: 2026-07-26

---

**Yes, Hallmark can be used with Docker.** Despite the Nutlope/hallmark repository not shipping with an official Dockerfile, the static-site generator produces self-contained HTML, CSS, and JavaScript assets that you can serve from any containerized web server.

The Nutlope/hallmark repository is a static-site generator skill that produces plain assets requiring no runtime dependencies beyond a basic file server. Because the generated content lives in the `site/` directory as completely self-contained files, you can containerize Hallmark using standard Docker images without complex configuration.

## Understanding Hallmark's Static Architecture

### Self-Contained Output Structure

Hallmark generates static assets that require no server-side processing. According to the source code, all generated pages live under the `site/` directory and consist of HTML, CSS, and optional JavaScript files. This architecture means no runtime process is required beyond serving static files.

### The Built-in Python Server

The [`package.json`](https://github.com/Nutlope/hallmark/blob/main/package.json) file defines the official development approach. As implemented in [`package.json`](https://github.com/Nutlope/hallmark/blob/main/package.json) (lines 31-34), the project includes a convenience script that launches a Python HTTP server targeting the `site` folder on port 4173:

```json
"scripts": {
  "serve": "python3 -m http.server --directory site 4173"
}

```

## How to Run Hallmark in Docker

While Hallmark does not provide a Dockerfile, you can create one using the installation method referenced in [`README.md`](https://github.com/Nutlope/hallmark/blob/main/README.md) (lines 95-100): `npx skills add nutlope/hallmark`.

### Method 1: Using the Built-in Python Server

This Dockerfile replicates the serve script defined in the project's [`package.json`](https://github.com/Nutlope/hallmark/blob/main/package.json):

```dockerfile

# Dockerfile

FROM python:3.12-slim AS build
WORKDIR /app

# Copy the whole repository (or just the built site) into the image

COPY . /app

# Install any npm dependencies (optional, only needed for the npx install step)

RUN npm ci

# Run the Python HTTP server defined in package.json

CMD ["python3", "-m", "http.server", "--directory", "site", "4173"]

```

Build and run:

```bash
docker build -t hallmark .
docker run -p 4173:4173 hallmark

```

Visit `http://localhost:4173` to see the live site.

### Method 2: Using a Tiny Nginx Server

For a production-ready container that serves only the static assets without Python:

```dockerfile

# Dockerfile

FROM nginx:alpine
COPY site/ /usr/share/nginx/html

# Optional: expose a different port if you prefer

EXPOSE 80

```

Build and run:

```bash
docker build -t hallmark-nginx .
docker run -p 8080:80 hallmark-nginx

```

Open `http://localhost:8080` to view the generated pages.

### Method 3: One-Liner Without Custom Dockerfile

If you have already built the `site/` directory and do not want to write a Dockerfile, use the official Apache image:

```bash
docker run -v "$(pwd)/site":/usr/local/apache2/htdocs/ -p 8080:80 httpd:2.4

```

This mounts the local `site/` folder into the container and serves it via Apache.

## Key Files for Docker Configuration

When containerizing Hallmark according to the Nutlope/hallmark source code, reference these files:

- **[`package.json`](https://github.com/Nutlope/hallmark/blob/main/package.json)** (lines 31-34): Defines the `serve` script that launches the built-in Python HTTP server on port 4173.
- **[`README.md`](https://github.com/Nutlope/hallmark/blob/main/README.md)** (lines 95-100): Contains the installation instructions using `npx skills add nutlope/hallmark`.
- **`site/` directory**: Contains the generated static HTML, CSS, and JavaScript assets ready for deployment.
- **[`skills/hallmark/SKILL.md`](https://github.com/Nutlope/hallmark/blob/main/skills/hallmark/SKILL.md)**: Defines the core skill entry point that drives the generation logic.

## Summary

- **Hallmark can be used with Docker** even though the repository does not include a ready-made Dockerfile.
- The static output in the `site/` directory requires only a basic web server to run, making it compatible with Python, Nginx, or Apache containers.
- The default development server runs on port 4173 as defined in [`package.json`](https://github.com/Nutlope/hallmark/blob/main/package.json).
- Because the assets are self-contained, you can copy only the `site/` folder into a container for minimal image size.

## Frequently Asked Questions

### Does Hallmark come with an official Docker image?

No, the Nutlope/hallmark repository does not ship with a Dockerfile or official image. However, the static-site architecture means you can use any lightweight web server image (like `nginx:alpine` or `httpd:2.4`) to serve the contents of the `site/` directory directly.

### What port does Hallmark use by default?

According to the [`package.json`](https://github.com/Nutlope/hallmark/blob/main/package.json) configuration (lines 31-34), Hallmark uses port **4173** by default. The built-in serve script executes `python3 -m http.server --directory site 4173`, which binds to this port.

### Can I run Hallmark in Docker without building a custom image?

Yes. If you have already generated the static assets in the `site/` directory, you can run a container immediately using the Apache HTTP Server image without creating a Dockerfile. Mount the `site/` folder to `/usr/local/apache2/htdocs/` and expose port 80.

### Is the Hallmark output truly static?

Yes. The generation process produces self-contained HTML, CSS, and optional JavaScript files. No server-side runtime or database is required to serve the content, making it ideal for static hosting in Docker containers or serverless platforms.