---
title: "Deploy django"
description: "[Jul'26] Django boilerplate with PostgreSQL for simple & efficient setup"
category: "Starters"
url: https://railway.com/deploy/django-w-postgres
---

# Deploy django

[Jul'26] Django boilerplate with PostgreSQL for simple & efficient setup

**[Deploy django on Railway](https://railway.com/template/django-w-postgres)**

- **Creator:** codestorm
- **Category:** Starters
- **Total deploys:** 26

## Template content

### Postgres https://devicons.railway.app/i/postgresql.svg

- **Image:** ghcr.io/railwayapp-templates/postgres-ssl:17

### django https://devicons.railway.app/django

- **Source:** railwayapp-templates/django
- **Public domain:** Yes

## Documentation

# Deploy and Host django (w/ postgres)

A simple Django starter bundled with PostgreSQL, built for an efficient and beginner-friendly setup.

## About Hosting django (w/ postgres)

This template offers a straightforward way to run a Django application with PostgreSQL as its database. It focuses on clarity and effectiveness by providing the essential configuration needed to connect the application and database without unnecessary complexity. With this setup, developers can start building features immediately, making it suitable for experimentation, learning, and gradual scaling as the project grows.

### How to Use

After deploying this template, the app is already running on Railway. You can open the generated Railway domain to test the starter app immediately.

If you want to customize the source code, use one of the workflows below.

#### Via Railway CLI

Use this workflow if you want to edit the project locally and redeploy changes directly from your machine using Railway CLI.

1. Deploy the template.
2. Clone the repository from **Source Repo** or **Upstream Repo** in the Railway dashboard.
3. Enter the project directory:

```bash
cd 
```

4. Link your local project directory to the deployed Railway project:

```bash
railway link
```

5. Check the linked project, environment, service, and repository information:

```bash
railway status
```

6. Edit the code locally.
7. Redeploy your local changes to Railway:

```bash
railway up
```

Railway will upload the current local directory and deploy it to the linked service.

#### Via Git / GitHub

Use this workflow if you want to manage changes through GitHub and let Railway automatically redeploy after every push.

1. Deploy the template.
2. Open **Source Repo** or **Upstream Repo** from the Railway dashboard.
3. Fork the repository to your own GitHub account.
4. Clone your fork locally:

```bash
git clone 
cd 
```

5. Edit the code locally.
6. Commit and push your changes to your fork:

```bash
git add .
git commit -m "Customize Node.js starter"
git push origin main
```

7. In Railway, change the service **Source Repo** to your fork if Railway does not automatically create or link it.
8. After the service is connected to your fork, future pushes to the repository can trigger automatic redeployments.

## Common Use Cases

- **Web Application Development**  
  Create dynamic web applications using Django’s admin panel, authentication system, and ORM.

- **Content-Based Platforms**  
  Build blogs, internal tools, or lightweight content management systems powered by Django templates.

- **Backend and API Services**  
  Develop APIs and backend services using Django and Django REST Framework for frontend or mobile clients.

## Dependencies for django (w/ postgres) Hosting

- **Python Runtime**  
  A Python environment with `pip` to manage Django and related packages.

- **Database Engine**  
  PostgreSQL for reliable data storage and ORM operations, with flexibility to use other engines during development.

- **Application Server**  
  A WSGI server such as Gunicorn to serve Django applications in a production setting.

### Deployment Dependencies

- Official Django documentation  
- Django REST Framework documentation (optional)  
- WhiteNoise documentation for static asset handling  
- Gunicorn documentation for WSGI configuration  

### Implementation Details 

#### Deployment Overview

Django projects are identified automatically through the presence of `manage.py`. Most of the initial configuration is handled during deployment, reducing the steps needed to get the application running. Detailed deployment guidance is available in the official Django deployment documentation.

#### Supported Deployment Methods

- **Template-Based Deployment**  
  Start instantly using a preconfigured Django and PostgreSQL setup.

- **Command Line Deployment**  
  Deploy from a local environment using the CLI.

- **Repository Integration**  
  Connect a Git repository to enable automated deployments on every update.

#### Required Packages

Ensure the following dependencies are included in `requirements.txt`:

```
Django>=4.2
gunicorn
whitenoise
psycopg[binary,pool]
```

#### Configuration Notes

- **Database Access**  
  Database connection details are provided through environment variables, keeping credentials out of the codebase.

- **Static Files**  
  WhiteNoise enables efficient serving of static assets such as CSS and JavaScript.

- **Host Configuration**  
  Allowed hosts should be configured to accept assigned application domains.

- **Environment Management**  
  Runtime configuration is managed entirely through environment variables.

#### Automatic Setup Features

During deployment, the platform automatically:

- Recognizes Django applications
- Installs required dependencies
- Prepares static assets
- Sets up PostgreSQL connectivity
- Assigns a public access domain

#### Extended Architecture Options

For more advanced workloads, this setup can be expanded with:

- Background workers for asynchronous tasks
- Scheduled job services
- In-memory data stores for message brokering
- Multiple services derived from a single codebase for improved scalability

This allows the application to grow in complexity without forcing a complete architectural rewrite.

## Why Deploy django (w/ postgres) on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying django (w/ postgres), you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.


## Similar templates

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- [caring-vibrancy](https://railway.com/deploy/caring-vibrancy) — Deploy and Host caring-vibrancy with Railway
- [Appsmith](https://railway.com/deploy/appsmith-1) — Low-code platform for internal tools, dashboards, and admin panels.

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