FastAPI Stack 🚀

A modern, modular FastAPI backend template for building secure and scalable Python APIs.
Includes JWT authentication, PostgreSQL, Redis, WebSockets, Docker, and full test coverage — perfect for learning, refactoring, or production use.

📋 Table of Contents

• Features
• Tech Stack
• Project Structure
• Quick Start
• API Documentation
• API Endpoints
• Real-time Features
• Testing
• Development
• Architecture
• Deployment
• Performance
• Security
• Monitoring
• Learning Resources
• Contributing
• Troubleshooting
• License

🚀 Features

Core FastAPI Features

• ✅ RESTful API Design - Complete CRUD operations with proper HTTP methods
• ✅ Automatic OpenAPI Documentation - Interactive docs at /docs and /redoc
• ✅ Request/Response Validation - Pydantic models with automatic validation
• ✅ Dependency Injection - Clean, testable code with FastAPI's DI system
• ✅ Authentication & Authorization - JWT-based auth with OAuth2 flow
• ✅ API Versioning - Support for multiple API versions (/api/v1/, /api/v2/)

Advanced Features

• 🔄 Real-time Communication - WebSockets and Server-Sent Events
• 📁 File Upload/Download - Streaming file operations with validation
• ⚡ Background Tasks - Asynchronous task processing
• 🗄️ Caching - Redis-based caching for performance
• 🗃️ Database Integration - SQLAlchemy ORM with async support
• 🔧 Middleware - Custom middleware for CORS, rate limiting, and monitoring

Development & Production

• 🧪 Comprehensive Testing - Unit, integration, and performance tests
• 🐳 Docker Support - Multi-service container setup
• 🔄 Database Migrations - Alembic for schema management
• 📊 Monitoring & Logging - Structured logging and health checks
• 📈 Performance Benchmarking - Built-in API performance testing

🛠️ Tech Stack

Category	Technology	Version	Purpose
Framework	FastAPI	0.104+	Web framework
Language	Python	3.11+	Programming language
Database	PostgreSQL	15+	Primary database
ORM	SQLAlchemy	2.0+	Database ORM
Cache	Redis	7+	Caching layer
Authentication	python-jose	3.3+	JWT handling
Testing	pytest	7.4+	Testing framework
Documentation	OpenAPI/Swagger	3.0+	API documentation
Containerization	Docker	20+	Container platform
Web Server	Uvicorn	0.24+	ASGI server

📁 Project Structure

FastAPIVerseHub/                    # 🏠 Project root
├── app/                            # 📦 Main application package
│   ├── __init__.py                 # 📄 Package initializer
│   ├── main.py                     # 🚀 Application entry point
│   ├── core/                       # ⚙️ Core configurations
│   │   ├── __init__.py
│   │   ├── config.py               # 🔧 Settings & environment config
│   │   ├── dependencies.py         # 💉 Dependency injection
│   │   ├── logging.py              # 📝 Logging configuration
│   │   └── security.py             # 🔐 Security utilities (JWT, hashing)
│   ├── api/                        # 🌐 API route definitions
│   │   ├── __init__.py
│   │   ├── v1/                     # 📌 API version 1
│   │   │   ├── __init__.py
│   │   │   ├── auth.py             # 🔑 Authentication endpoints
│   │   │   ├── users.py            # 👥 User management
│   │   │   ├── courses.py          # 📚 Course CRUD operations
│   │   │   ├── uploads.py          # 📁 File upload/download
│   │   │   ├── websocket.py        # 🔄 WebSocket connections
│   │   │   ├── sse.py              # 📡 Server-Sent Events
│   │   │   └── forms.py            # 📝 Form data handling
│   │   └── v2/                     # 📌 API version 2 (Enhanced)
│   │       ├── __init__.py
│   │       ├── advanced_auth.py    # 🔑 Enhanced authentication
│   │       └── advanced_courses.py # 📚 Advanced course features
│   ├── models/                     # 🗃️ Database models
│   │   ├── __init__.py
│   │   ├── user.py                 # 👤 User database model
│   │   ├── course.py               # 📖 Course database model
│   │   └── token.py                # 🎫 Token/session models
│   ├── schemas/                    # 📋 Pydantic request/response models
│   │   ├── __init__.py
│   │   ├── user.py                 # 👤 User validation schemas
│   │   ├── course.py               # 📖 Course validation schemas
│   │   ├── auth.py                 # 🔑 Authentication schemas
│   │   └── common.py               # 🔧 Shared schemas
│   ├── services/                   # 🏢 Business logic layer
│   │   ├── __init__.py
│   │   ├── auth_service.py         # 🔑 Authentication logic
│   │   ├── user_service.py         # 👥 User management logic
│   │   ├── course_service.py       # 📚 Course business logic
│   │   └── notification_service.py # 📢 Real-time notifications
│   ├── common/                     # 🛠️ Shared utilities
│   │   ├── __init__.py
│   │   ├── cache_utils.py          # 💾 Caching helpers
│   │   ├── file_utils.py           # 📁 File handling utilities
│   │   ├── email_utils.py          # 📧 Email utilities
│   │   └── validators.py           # ✅ Custom validators
│   ├── exceptions/                 # ❌ Custom exception classes
│   │   ├── __init__.py
│   │   ├── base_exceptions.py      # 🏗️ Base exception classes
│   │   ├── auth_exceptions.py      # 🔑 Auth-related errors
│   │   └── validation_exceptions.py # ❌ Validation errors
│   ├── middleware/                 # 🔧 Custom middleware
│   │   ├── __init__.py
│   │   ├── cors_middleware.py      # 🌐 CORS configuration
│   │   ├── rate_limiter.py         # 🚦 API rate limiting
│   │   └── request_timer.py        # ⏱️ Request timing
│   ├── tests/                      # 🧪 Test suite
│   │   ├── __init__.py
│   │   ├── conftest.py             # ⚙️ Pytest configuration
│   │   ├── test_auth.py            # 🔑 Authentication tests
│   │   ├── test_courses.py         # 📚 Course tests
│   │   ├── test_uploads.py         # 📁 File upload tests
│   │   ├── test_websockets.py      # 🔄 WebSocket tests
│   │   ├── test_sse.py             # 📡 SSE tests
│   │   └── test_middleware.py      # 🔧 Middleware tests
│   └── templates/                  # 📄 Jinja2 templates
│       ├── welcome_email.html      # 📧 Welcome email template
│       ├── reset_password.html     # 🔓 Password reset template
│       └── api_docs.html           # 📚 Custom API docs
├── docs/                           # 📚 Documentation
│   ├── concepts_map.md             # 🗺️ FastAPI concepts mapping
│   ├── quick_reference.md          # ⚡ Quick reference guide
│   ├── architecture_decisions.md   # 🏛️ Architecture decisions (ADRs)
│   ├── learning_path.md            # 🎓 Structured learning guide
│   ├── api_usage_guide.md          # 📘 API usage examples
│   ├── async_best_practices.md     # ⚡ Async/await best practices
│   ├── testing_guide.md            # 🧪 Testing strategies
│   └── deployment_guide.md         # 🚀 Deployment instructions
├── scripts/                        # 🛠️ Development scripts
│   ├── generate_fake_data.py       # 🎭 Sample data generation
│   ├── benchmark_apis.py           # 📊 Performance benchmarking
│   ├── run_tests.sh               # 🧪 Test execution script
│   └── generate_openapi_spec.py    # 📋 OpenAPI spec generation
├── .env.example                    # 🔧 Environment variables template
├── .gitignore                      # 🚫 Git ignore rules
├── Dockerfile                      # 🐳 Container configuration
├── docker-compose.yml              # 🐳 Multi-service orchestration
├── pyproject.toml                  # 📦 Project configuration
└── README.md                       # 📖 This file

🚦 Quick Start

Prerequisites

• 🐍 Python 3.11+ - Download Python
• 🐳 Docker & Docker Compose - Install Docker
• 📦 Git - Install Git

Option 1: Docker Setup (🔥 Recommended)

# 1️⃣ Clone the repository
git clone https://github.com/mhhoss/fastapi-.git
cd fastapi-stack

# 2️⃣ Copy environment configuration
cp .env.example .env

# 3️⃣ Create required __init__.py files
touch app/__init__.py app/core/__init__.py app/api/__init__.py \
      app/api/v1/__init__.py app/api/v2/__init__.py app/models/__init__.py \
      app/schemas/__init__.py app/services/__init__.py app/common/__init__.py \
      app/exceptions/__init__.py app/middleware/__init__.py app/tests/__init__.py

# 4️⃣ Start all services
docker-compose up -d

# 5️⃣ Check service status
docker-compose ps

# 6️⃣ View logs (optional)
docker-compose logs -f app

# 🎉 Access the application
# API: http://localhost:8000
# Docs: http://localhost:8000/docs
# Admin Panel: http://localhost:5050 (pgAdmin)

Option 2: Local Development

# 1️⃣ Clone and setup
git clone https://github.com/mhhoss/fastapi-stack.git
cd fastapi-stack

# 2️⃣ Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# 3️⃣ Install dependencies
pip install -e ".[dev]"

# 4️⃣ Setup environment
cp .env.example .env
# Edit .env with your database and Redis URLs

# 5️⃣ Create __init__.py files (same as Docker option step 3)

# 6️⃣ Setup database (if using local PostgreSQL)
createdb fastapi_verse_hub  # or use your preferred method

# 7️⃣ Run database migrations
alembic upgrade head

# 8️⃣ Start the application
uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload

# 🎉 Open http://localhost:8000 in your browser

🚀 Quick Health Check

# Test if everything is working
curl http://localhost:8000/health

# Expected response:
# {"status":"healthy","timestamp":"...","version":"1.0.0"}

📚 API Documentation

Once running, access the comprehensive API documentation:

Documentation Type	URL	Description
🎨 Swagger UI	http://localhost:8000/docs	Interactive API documentation
📖 ReDoc	http://localhost:8000/redoc	Alternative documentation view
📋 OpenAPI Spec	http://localhost:8000/openapi.json	Raw OpenAPI specification

🔑 Default Test Account

For testing purposes, use these credentials:

• 📧 Email: admin@example.com
• 🔒 Password: admin123
• 👑 Role: Administrator

🌐 API Endpoints

🔑 Authentication

Method	Endpoint	Description	Auth Required
POST	/api/v1/auth/register	User registration	❌
POST	/api/v1/auth/token	User login	❌
POST	/api/v1/auth/refresh	Token refresh	✅

👥 User Management

Method	Endpoint	Description	Auth Required
GET	/api/v1/users/me	Get current user	✅
PUT	/api/v1/users/me	Update current user	✅
GET	/api/v1/users/	List users (paginated)	✅

📚 Course Management

Method	Endpoint	Description	Auth Required
GET	/api/v1/courses/	List courses	❌
POST	/api/v1/courses/	Create course	✅
GET	/api/v1/courses/{id}	Get course details	❌
PUT	/api/v1/courses/{id}	Update course	✅
DELETE	/api/v1/courses/{id}	Delete course	✅

📁 File Operations

Method	Endpoint	Description	Auth Required
POST	/api/v1/uploads/	Upload file	✅
GET	/api/v1/uploads/{id}/download	Download file	✅
GET	/api/v1/uploads/my-files	List user files	✅

📊 System Endpoints

Method	Endpoint	Description	Auth Required
GET	/health	Basic health status	❌
GET	/ready	Readiness probe	❌

🔄 Real-time Features

🌐 WebSocket Connection

// Connect to WebSocket
const ws = new WebSocket("ws://localhost:8000/api/v1/ws");

// Authenticate
ws.onopen = () => {
  ws.send(
    JSON.stringify({
      type: "authenticate",
      token: "your-jwt-token",
    })
  );
};

// Send message
ws.send(
  JSON.stringify({
    type: "message",
    content: "Hello, World!",
    room: "general",
  })
); 

📡 Server-Sent Events

// Subscribe to notifications
const eventSource = new EventSource(
  "http://localhost:8000/api/v1/sse/notifications?token=your-jwt-token"
);

eventSource.onmessage = (event) => {
  const data = JSON.parse(event.data);
  console.log("Notification:", data);
};

🧪 Testing

🚀 Quick Test Run

# Run all tests
./scripts/run_tests.sh

# Run with coverage report
./scripts/run_tests.sh --coverage

# Run specific test types
./scripts/run_tests.sh --type unit --verbose
./scripts/run_tests.sh --type integration
./scripts/run_tests.sh --type performance

🎭 Generate Test Data

# Generate sample users and courses
python scripts/generate_fake_data.py

# Options:
# - 50 users (including 1 admin)
# - 30 courses with realistic data
# - Course enrollments
# - Sample file records

📊 Performance Benchmarking

# Run API performance tests
python scripts/benchmark_apis.py --total 100 --concurrent 10

# Export results to JSON
python scripts/benchmark_apis.py --export results.json

🎯 Test Coverage Goals

• Unit Tests: 90%+ coverage
• Integration Tests: All API endpoints
• Performance Tests: Sub-100ms response times
• E2E Tests: Critical user workflows

🔧 Development

🛠️ Development Commands

# 📊 Generate fake data for testing
python scripts/generate_fake_data.py

# 📋 Export OpenAPI specification
python scripts/generate_openapi_spec.py

# 📈 Run performance benchmarks
python scripts/benchmark_apis.py

# 🗃️ Database migrations
alembic revision --autogenerate -m "Add new feature"
alembic upgrade head
alembic downgrade -1

# 🎨 Code formatting and linting
black app/          # Format code
isort app/          # Sort imports
flake8 app/         # Lint code
mypy app/           # Type checking

🔄 Development Workflow

1. 🌿 Branch: Create feature branch from main
2. 💻 Code: Implement feature with tests
3. 🧪 Test: Run full test suite
4. 🎨 Format: Apply code formatting
5. 📝 Document: Update documentation
6. 🔍 Review: Create pull request
7. 🚀 Deploy: Merge and deploy

🐳 Docker Development

# 🏗️ Build and start development environment
docker-compose up -d --build

# 🔍 View service logs
docker-compose logs -f app

# 🗃️ Access database directly
docker-compose exec db psql -U fastapi_user -d fastapi_verse_hub

# 💾 Access Redis CLI
docker-compose exec redis redis-cli

# 📊 Monitor with management tools
# pgAdmin: http://localhost:5050 (admin@example.com / admin)
# Redis Commander: http://localhost:8081 (admin / admin)

🏗️ Architecture

🎯 Project Philosophy

• 🏛️ Clean Architecture - Clear separation of concerns
• 🎯 Domain-Driven Design - Business logic in services layer
• ⚡ SOLID Principles - Maintainable and extensible code
• 🧪 Test-Driven Development - Comprehensive test coverage
• 📋 API-First Design - OpenAPI specification driven

🧩 Key Components

⚙️ Core Layer (app/core/)

• 🔧 Configuration Management - Pydantic Settings with environment variables
• 🔐 Security Utilities - JWT handling and password hashing
• 🗃️ Database Connection - Async SQLAlchemy setup
• 💉 Dependency Injection - FastAPI dependencies
• 📝 Structured Logging - JSON logging with correlation IDs

🌐 API Layer (app/api/)

• 🛣️ RESTful Endpoints - Standard HTTP methods and status codes
• ✅ Request/Response Validation - Automatic Pydantic validation
• ❌ Error Handling - Consistent error responses
• 📌 API Versioning - Support for multiple API versions

🏢 Business Logic (app/services/)

• 📈 Domain Rules - Business logic implementation
• 🗃️ Database Operations - Data access patterns
• 🌐 External Integrations - Third-party service calls
• ⚡ Background Tasks - Async task management

🗃️ Data Layer (app/models/)

• 📊 ORM Models - SQLAlchemy database models
• 🔗 Relationships - Database table relationships
• ✅ Constraints - Data integrity rules

📋 Validation Layer (app/schemas/)

• 📥 Request Models - Input validation schemas
• 📤 Response Models - Output serialization schemas
• 📚 Documentation - Automatic API docs generation

🚀 Deployment

🐳 Docker Production

# 🌐 Production deployment
docker-compose -f docker-compose.yml -f docker-compose.prod.yml up -d

# 🔒 With SSL (requires nginx configuration)
docker-compose --profile production up -d

# 📊 Monitor deployment
docker-compose ps
docker-compose logs -f

🖥️ Traditional Server

# 📦 Install production dependencies
pip install -e ".[production]"

# 🚀 Run with Gunicorn
gunicorn app.main:app \
    --workers 4 \
    --worker-class uvicorn.workers.UvicornWorker \
    --bind 0.0.0.0:8000 \
    --access-logfile - \
    --error-logfile -

☁️ Cloud Deployment

The project includes deployment configurations for:

Platform	Service	Configuration
🟠 AWS	ECS/Fargate	Container-based deployment
🔵 Google Cloud	Cloud Run	Serverless container platform
🟦 Azure	Container Instances	Simple container deployment
☸️ Kubernetes	Any cluster	Full orchestration setup

📚 Detailed Instructions: See docs/deployment_guide.md

📈 Performance

🎯 Performance Benchmarks

Metric	Target	Description
⚡ Response Time	< 50ms	Average for simple endpoints
🚀 Throughput	1000+ RPS	Requests per second with caching
👥 Concurrent Users	500+	WebSocket connections
📁 File Upload	100MB+	Streaming support

🔧 Optimization Features

• 💾 Redis Caching - Database query caching
• 🏊 Connection Pooling - Efficient database connections
• ⚡ Async/Await - Non-blocking operations throughout
• ⚙️ Background Tasks - Offloaded processing
• 🗜️ Response Compression - Reduced payload sizes

📊 Performance Monitoring

# 🔍 Run performance benchmarks
python scripts/benchmark_apis.py \
    --concurrent 10 \
    --total 1000 \
    --export performance_report.json

# 📈 Analyze results
# Check average response times, error rates, and throughput

🔒 Security

🛡️ Implemented Security Measures

Feature	Implementation	Description
🔑 Authentication	JWT tokens	Stateless authentication
🔒 Password Security	bcrypt hashing	Secure password storage
🌐 CORS Protection	Custom middleware	Cross-origin request control
🚦 Rate Limiting	Token bucket	API abuse prevention
✅ Input Validation	Pydantic models	Data sanitization
🛡️ SQL Injection	SQLAlchemy ORM	Parameterized queries
📁 File Security	Type validation	Safe file uploads
🔐 Security Headers	Custom middleware	OWASP recommendations

🔐 Security Best Practices

# 🔑 Generate secure keys for production
python -c "import secrets; print(secrets.token_urlsafe(32))"

# 🔍 Security audit
pip install safety bandit
safety check
bandit -r app/

# 🛡️ Update dependencies regularly
pip-audit

📊 Monitoring

🏥 Health Checks

Endpoint	Purpose	Response
GET /health	Basic health	Service status
GET /ready	Readiness probe	Dependencies status

📈 Metrics & Logging

• 📝 Structured Logging - JSON format with correlation IDs
• ⏱️ Request Timing - Response time tracking
• ❌ Error Tracking - Comprehensive error logging
• 📊 Custom Metrics - Business metrics collection
• 🔍 Prometheus - Metrics endpoint for monitoring

🔍 Monitoring Setup

# 📊 View application logs
docker-compose logs -f app

# 📈 Access metrics endpoint
curl http://localhost:8000/metrics

# 🏥 Check health status
curl http://localhost:8000/health
curl http://localhost:8000/ready

📖 Learning Resources

🎓 Recommended Learning Path

Step	Resource	Duration	Focus
1️⃣	docs/learning_path.md	2-3 weeks	Complete FastAPI journey
2️⃣	docs/quick_reference.md	1 day	FastAPI patterns
3️⃣	docs/api_usage_guide.md	2 days	API usage examples
4️⃣	docs/architecture_decisions.md	1 day	Design decisions
5️⃣	docs/testing_guide.md	3 days	Testing strategies
6️⃣	docs/deployment_guide.md	2 days	Production deployment

💡 Key Concepts Demonstrated

• ⚡ Async Programming - Proper async/await usage patterns
• 💉 Dependency Injection - FastAPI's powerful DI system
• ✅ Data Validation - Pydantic models and custom validators
• 🔑 Authentication - JWT and OAuth2 implementation
• 🔄 Real-time Communication - WebSockets and Server-Sent Events
• 🧪 Testing - Comprehensive testing strategies
• 📋 API Design - RESTful best practices and standards

📚 External Resources

• 📖 FastAPI Official Documentation
• 📖 Pydantic Documentation
• 📖 SQLAlchemy Documentation
• 📖 pytest Documentation
• 📖 Docker Documentation

🤝 Contributing

We welcome contributions! Here's how to get started:

🚀 Quick Contribution Guide

1. 🍴 Fork the repository
2. 🌿 Create a feature branch (git checkout -b feature/amazing-feature)
3. 💻 Make your changes with tests
4. 🧪 Ensure all tests pass (./scripts/run_tests.sh)
5. 📝 Commit your changes (git commit -m 'Add amazing feature')
6. ⬆️ Push to branch (git push origin feature/amazing-feature)
7. 🔄 Open a Pull Request

📋 Development Guidelines

• 🎨 Code Style - Follow PEP 8 and use black formatter
• 🔤 Type Hints - Add type hints to all functions
• 🧪 Testing - Write tests for new functionality (aim for 90%+ coverage)
• 📚 Documentation - Update relevant documentation
• ⚡ Commits - Keep commits atomic and well-described

🏷️ Contribution Types

• 🐛 Bug Fixes - Fix issues and improve stability
• ✨ New Features - Add new functionality
• 📚 Documentation - Improve docs and examples
• 🎨 Code Quality - Refactoring and optimization
• 🧪 Testing - Add or improve tests
• 🔒 Security - Security improvements

🎯 Good First Issues

Look for issues labeled with:

• good-first-issue - Perfect for beginners
• documentation - Documentation improvements
• tests - Adding or improving tests
• enhancement - Small feature additions

🐛 Troubleshooting

🔍 Common Issues

🗃️ Database Connection Errors

# Check if database is running
docker-compose ps db

# Check connection string
echo $DATABASE_URL

# Reset database
docker-compose down -v
docker-compose up -d db

# Check logs
docker-compose logs db

💾 Redis Connection Issues

# Test Redis connectivity
redis-cli ping  # Should return PONG

# Check Redis URL
echo $REDIS_URL

# Restart Redis
docker-compose restart redis

# Check Redis logs
docker-compose logs redis

📦 Import Errors

# Ensure virtual environment is activated
source venv/bin/activate

# Reinstall dependencies
pip install -e ".[dev]"

# Check Python path
python -c "import sys; print(sys.path)"

# Ensure __init__.py files exist
find app -name "__init__.py" | head -10

🔐 Permission Errors

# Fix upload directory permissions
chmod -R 755 uploads/

# Fix Docker volume permissions
sudo chown -R $USER:$USER uploads/

# Check file ownership
ls -la uploads/

🚀 Application Won't Start

# Check if port is in use
lsof -i :8000

# Check environment variables
python -c "from app.core.config import settings; print(settings.DATABASE_URL)"

# Start with debug mode
uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload --log-level debug

# Check application logs
docker-compose logs -f app

🆘 Getting Help

• 📊 GitHub Issues - Report bugs or request features
• 💬 Discussions - Ask questions and share ideas
• 📧 Email - Contact the maintainer for urgent issues

🏆 Project Goals

This project serves as a comprehensive learning resource and production-ready template for:

1. 🎓 Learning FastAPI - From basic concepts to advanced patterns
2. 📈 Best Practices - Industry-standard development patterns
3. 🏭 Real-world Usage - Production-ready features and deployment
4. 🌍 Community Education - Open-source learning resource
5. 🚀 Template for Projects - Starter template for new FastAPI projects

📊 Project Statistics

• 📁 Total Files: 77
• 📦 Directories: 17
• 🧪 Test Coverage: 80%+ (target: 90%+)
• 📋 API Endpoints: 15+ (across v1 and v2)
• 📚 Documentation Pages: 8
• 🛠️ Utility Scripts: 4

🎯 Roadmap

🔜 Upcoming Features

• 🔐 OAuth2 Social Login - Google, GitHub, Facebook integration
• 📊 Admin Dashboard - Web-based administration interface
• 📈 Analytics & Metrics - Detailed usage analytics
• 🔍 Full-text Search - Elasticsearch integration
• 📱 Mobile API - Mobile-optimized endpoints
• 🌍 Internationalization - Multi-language support

🏗️ Technical Improvements

• 📦 Microservices - Service decomposition guide
• 🎭 Event Sourcing - Event-driven architecture patterns
• 🗺️ GraphQL - GraphQL endpoints alongside REST
• 🤖 ML Integration - Machine learning model serving
• ☁️ Cloud Native - Kubernetes-native deployment

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📋 License Summary

MIT License - Free for commercial and private use
✅ Commercial use    ✅ Modification    ✅ Distribution    ✅ Private use
❌ Liability         ❌ Warranty

🙏 Acknowledgments

🏆 Special Thanks

• ⚡ FastAPI - The amazing web framework by Sebastián Ramirez
• 📋 Pydantic - Data validation and settings management
• 🗃️ SQLAlchemy - The Python SQL toolkit and ORM
• ⭐ Starlette - Lightweight ASGI framework
• 🧪 pytest - Testing framework
• **🌟 **Open Source Community** - For inspiration and contributions

👥 Contributors

• Satvik Praveen - Project creator and maintainer
• Mahdi Hosseini – Maintainer of Fastapi-stack with personal improvements and modular enhancements
• Community Contributors - Thank you to everyone who contributes!

🔗 Links

Resource	URL	Description
📚 Documentation	docs/	Complete project documentation
🎨 API Reference	http://localhost:8000/docs	Interactive API documentation
🐛 Issues	GitHub Issues	Bug reports and feature requests
💬 Discussions	GitHub Discussions	Community discussions
⭐ Repository	GitHub Repo	Source code repository
👤 Owner	@mhhoss	Project maintainer

Based on FastAPIVerseHub

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🚀 Happy coding! 🚀

FastAPI Stack - Where FastAPI learning meets real-world application.

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