Djactory

Djactory is an interactive Django project factory. It helps you choose an architecture, API style, authentication stack, feature modules, design patterns, and now an optional project environment bootstrap in one flow.

What it does

• Guides you through project creation with a Rich-powered wizard instead of a long flags list
• Generates Django projects for clean architecture, modular monolith, layered Django, and microservices-ready layouts
• Supports DRF, GraphQL, hybrid REST + GraphQL, and SSR delivery modes
• Composes authentication, background jobs, Redis, Channels, logging, Docker, CI, and more
• Recommends sensible defaults based on the project name and description
• Can optionally create .venv or use uv and install the generated project dependencies immediately

Install

pip install Djactory

The installed commands are:

djactory

Legacy alias:

djangoforge

Quick start

Run the interactive wizard:

djactory

Or explicitly:

djactory new

Choose the architecture and features you want, then decide how Djactory should handle the environment:

• Skip environment bootstrap
• python -m venv
• uv

If you choose python -m venv or uv, Djactory can also install the generated project's dependencies automatically.

Example flow

Project name: Acme Booking
Description: Multi-tenant booking platform for hotels
Architecture: Modular Monolith
API: Django REST Framework
Authentication: JWT
Frontend: Next.js ready
Features: Redis, Celery, Docker, CI/CD
Patterns: Service Layer, Repository, Unit of Work
Environment: python -m venv
Install dependencies now: yes

That produces a Django project with a .venv, project dependencies installed, and a scaffold shaped for a SaaS-style booking backend.

Example generated tree

acme-booking/
├── .env.example
├── Dockerfile
├── README.md
├── manage.py
├── pyproject.toml
└── src/
    └── acme_booking/
        ├── api/
        ├── apps/
        │   ├── core/
        │   └── users/
        ├── config/
        │   └── settings/
        └── shared/

Typical commands

Create a new project in the current directory:

djactory

Create a new project in a specific folder:

djactory new --output-dir ~/workspaces

Check the installed version:

djactory --version

Generated project setup

If you skip bootstrap, the generated project still contains everything needed to start manually:

cd your-project
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
cp .env.example .env
python manage.py migrate
python manage.py runserver

If you choose uv, install it first from the official installer and let Djactory run the environment creation and dependency sync for you.

Development

python3 -m pip install -e ".[dev]"
python3 -m unittest discover -s tests -v

Packaging

Build distributions locally:

python3 -m pip install -e ".[publish]"
python3 -m build
python3 -m twine check dist/*

Publishing notes are in PUBLISHING.md.