Core scaffolding and utilities for QuickScale Django project generator
Project description
🚀 QuickScale
You are here: QuickScale README (Project Overview) Related docs: Start Here | Glossary | Decisions | User Manual
QuickScale: Compose your Django SaaS.
QuickScale is a composable Django framework for building client SaaS applications. Start with a stable core, add reusable modules, customize themes, and deploy faster—while maintaining the flexibility to create commercial extensions and build a community ecosystem.
What is QuickScale?
QuickScale is a Django project generator that creates production-ready SaaS applications with one command. Designed for solo developers and development agencies, it gives you:
- Production-ready foundations: Docker, PostgreSQL, testing, CI/CD, and security out-of-the-box
- One-command deployment: Deploy to Railway with
quickscale deploy railway - Full ownership: Generated projects are 100% yours to customize—no vendor lock-in
- Standardized stack: Build multiple client projects faster with consistent best practices
🧭 Future Vision: QuickScale will evolve to support reusable modules and themes. Today it's a personal toolkit; tomorrow it becomes a community platform when demand emerges. Read the full evolution strategy.
Documentation Guide
Start here for your needs:
- 📖 New user? You're in the right place. This README shows you what QuickScale is and how to get started.
- 🔧 Need commands? See user_manual.md for all commands and workflows
- 🚀 Deploying to Railway? See railway.md for Railway deployment guide
- 📋 Planning a feature? Check decisions.md for the authoritative MVP scope and technical rules
- 🗓️ Timeline & tasks? See roadmap.md
- 🏗️ Project structure? See scaffolding.md for complete directory layouts
- 🎯 Why QuickScale? See quickscale.md for competitive positioning
Quick Reference:
- MVP = Phase 1 (Personal Toolkit)
- Post-MVP = Phase 2+ (Modules & Themes)
- Generated Project = Output of
quickscale plan+quickscale apply
See decisions.md - Glossary section for complete terminology and Single Source of Truth reference
Primary Use Cases (MVP):
- Solo Developer: Build client projects faster with production-ready foundations
- Development Agency: Standardize your tech stack across client engagements
Future Use Cases (Post-MVP):
- Commercial Extension Developer: Create and sell premium modules/themes
- Open Source Contributor: Extend the ecosystem with modules and themes
Development Flow
quickscale plan myapp→ Interactive configuration wizardquickscale apply→ Generates production-ready Django project- Add your custom Django apps and features
- Build your unique client application
- Deploy to Railway with
quickscale deploy railway(or use standard Django deployment)
ℹ️ The MVP Feature Matrix is the single source of truth for what's in or out.
What You Get
Running quickscale plan myapp && quickscale apply generates a production-ready Django project with:
- ✅ Docker setup (development + production)
- ✅ PostgreSQL configuration
- ✅ Environment-based settings (dev/prod split)
- ✅ Security best practices (SECRET_KEY, ALLOWED_HOSTS, etc.)
- ✅ Testing infrastructure (pytest + factory_boy)
- ✅ CI/CD pipeline (GitHub Actions)
- ✅ Code quality hooks (ruff format + ruff check)
- ✅ Advanced quality analysis (dead code detection, complexity metrics, duplication)
- ✅ Poetry for dependency management
- ✅ One-Command Deployment: Deploy to Railway with
quickscale deploy railway- fully automated setup
See the complete project structure: scaffolding.md - Generated Project Output
The generated project is yours to own and modify - no vendor lock-in, just Django best practices.
Why QuickScale vs. Alternatives?
✅ Faster than Cookiecutter - One command vs. 30+ interactive prompts ✅ More flexible than SaaS Pegasus - Open source with full code ownership ($0 vs. $349+) ✅ Simpler than building from scratch - Production-ready in 5 minutes vs. days of setup ✅ Railway deployment automation - Competitors require manual platform configuration
QuickScale is a development accelerator, not a complete solution. You start with production-ready foundations and build your unique client application on top.
See competitive_analysis.md for detailed comparison with SaaS Pegasus and Cookiecutter.
Quick Start
# Install QuickScale globally
./scripts/install_global.sh
# Create a configuration interactively
quickscale plan myapp
# → Select theme, modules, Docker options
# → Generates quickscale.yml
# Execute the configuration
quickscale apply
cd myapp
Choose your development workflow:
Option 1: Docker (Recommended for production parity)
# Start all services (web + database)
quickscale up
# Run migrations
quickscale manage migrate
# Create superuser
quickscale manage createsuperuser
# View logs
quickscale logs -f web
# Open a shell in the container
quickscale shell
# Stop services
quickscale down
Visit http://localhost:8000 - Your app is running in Docker with PostgreSQL!
Option 2: Native Poetry (Simpler for quick testing)
# Install dependencies
poetry install
# Run migrations
poetry run python manage.py migrate
# Start development server
poetry run python manage.py runserver
Visit http://localhost:8000 - Your app is running natively!
For complete command reference and workflows, see the user_manual.md.
Code Quality Analysis
QuickScale includes comprehensive code quality checks:
# Run quality analysis
./scripts/check_quality.sh
# View reports
cat .quickscale/quality_report.md # Human-readable
cat .quickscale/quality_report.json # Machine-readable
Detects:
- Dead code (unused imports, functions, variables)
- High complexity (cyclomatic complexity >10)
- Large files (>500 lines warning, >1000 error)
- Code duplication (>6 similar lines)
Exit codes: 0 (clean), 1 (warnings), 2 (critical)
Learn More
- decisions.md - Technical specifications and implementation rules
- quickscale.md - Strategic vision and competitive positioning
- competitive_analysis.md - Comparison vs SaaS Pegasus and alternatives
- roadmap.md - Development roadmap and implementation plan
- user_manual.md - Commands and workflows
- contributing.md - Development workflow and coding standards
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