Horilla CRM

Enterprise Customer Relationship Management System

A comprehensive CRM solution designed for enterprise-level customer engagement, sales tracking, and business process automation.

📚 Resources

✨ Features

🏢 Core CRM Modules

• 👥 People Management

  • Accounts: Manage companies and organizations with detailed profiles
  • Contacts: Individual contact management with relationship tracking
  • Roles & Permissions: Granular access control and user management

• 💼 Sales Pipeline

  • Leads: Lead capture, qualification, and nurturing
  • Opportunities: Deal tracking with customizable sales stages
  • Forecasting: Revenue predictions and sales analytics
  • Big Deal Alerts: Automated notifications for high-value opportunities

• 📊 Marketing & Campaigns

  • Campaign Management: Multi-channel campaign creation and tracking
  • Campaign Analytics: Performance metrics and ROI analysis
  • Lead Source Tracking: Attribution and conversion analysis

• 📅 Activity & Communication

  • Activity Tracking: Meetings, calls, emails, and task management
  • Calendar Integration: Unified scheduling and event management
  • Timeline View: Chronological activity history
  • Email Integration: Built-in email composer with templates

• 📈 Analytics & Reporting

  • Interactive Dashboards: Customizable widgets and charts
  • Advanced Reports: Detailed analytics across all modules
  • Data Export: CSV, Excel export capabilities
  • Real-time Notifications: WebSocket-based live updates

🌐 Technical Features

• Multi-language Support: 25+ languages including English, Arabic, German, French, Korean
• Multi-currency: Global currency support with conversion
• Real-time Updates: WebSocket integration for live notifications
• Advanced Search: Global search across all modules
• Import/Export: Bulk data operations with CSV/Excel support
• Audit Trail: Complete activity logging and history tracking
• Responsive Design: Mobile-friendly interface
• Dark/Light Themes: Customizable UI preferences

🚀 Quick Start

Prerequisites

• Docker & Docker Compose
• Python 3.12+ (for local development)
• PostgreSQL (recommended for production)

Option 1: Docker Setup (Recommended)

1. Clone the repository

   git clone https://github.com/horilla-opensource/horilla-crm.git
   cd horilla-crm
   

2. Configure environment (optional)

   cp .env.example .env
   # Edit .env file with your settings
   

3. Start development environment

   make dev
   # or
   docker-compose up --build
   

4. Start production environment

   make prod
   # or
   docker-compose --profile production up --build -d
   

5. Create superuser

   make shell
   python manage.py createsuperuser
   

6. Access the application

   • Development: http://localhost:8000
   • Production: http://localhost (with nginx)

Option 2: Local Development

1. Install dependencies

   pip install -r requirements.txt
   

2. Configure database

   python manage.py migrate
   

3. Create superuser

   python manage.py createsuperuser
   

4. Run development server

   python manage.py runserver
   

🐳 Docker Configuration

Available Commands

make help     # Show all commands
make dev      # Development server
make prod     # Production with nginx
make build    # Build images
make stop     # Stop services
make logs     # View logs
make shell    # Open container shell
make db-shell # Open PostgreSQL shell
make clean    # Clean up

Services

• Web: Django app with Uvicorn ASGI server (port 8000)
• Database: PostgreSQL 16 (port 5432)
• Nginx: Reverse proxy for production (port 80)

Environment Variables

# PostgreSQL Database
POSTGRES_DB=horilla_db
POSTGRES_USER=horilla_user
POSTGRES_PASSWORD=horilla_pass

# Django Configuration
DEBUG=1
SECRET_KEY=your-secret-key
ALLOWED_HOSTS=localhost,127.0.0.1
CSRF_TRUSTED_ORIGINS=http://localhost:8000

# Database URL
DATABASE_URL=postgres://horilla_user:horilla_pass@db:5432/horilla_db

🏗️ Architecture

Technology Stack

• Backend: Django 5.2+ with Python 3.12+
• Database: PostgreSQL (recommended), SQLite (development)
• Web Server: Uvicorn ASGI server with WebSocket support
• Frontend: HTML5, TailwindCSS, HTMX for dynamic interactions
• Real-time: Django Channels for WebSocket communication
• Task Queue: APScheduler for background tasks
• File Storage: WhiteNoise for static files

🔧 Configuration

Database Configuration

SQLite (Development)

DATABASE_URL=sqlite:///db.sqlite3

PostgreSQL (Production)

DATABASE_URL=postgres://username:password@localhost:5432/horilla_crm

Email Configuration

# SMTP Settings
EMAIL_BACKEND='django.core.mail.backends.smtp.EmailBackend'
EMAIL_HOST='smtp.gmail.com'
EMAIL_PORT=587
EMAIL_USE_TLS=True
EMAIL_HOST_USER='[email protected]'
EMAIL_HOST_PASSWORD='your-app-password'

Redis Configuration (Optional)

# For production WebSocket scaling
CHANNEL_LAYERS = {
    "default": {
        "BACKEND": "channels_redis.core.RedisChannelLayer",
        "CONFIG": {
            "hosts": [("127.0.0.1", 6379)],
        },
    },
}

🔐 Security Features

• Role-based Access Control: Granular permissions system
• CSRF Protection: Built-in Django CSRF protection
• SQL Injection Protection: Django ORM with parameterized queries
• XSS Protection: Template auto-escaping and CSP headers
• Secure Headers: Security middleware with HSTS, X-Frame-Options
• Password Validation: Strong password requirements
• Session Security: Secure session configuration
• API Rate Limiting: Built-in rate limiting for API endpoints

📊 API & Integrations

REST API

• RESTful API endpoints for all modules
• Token-based authentication
• Pagination and filtering support
• Swagger/OpenAPI documentation

Webhook Support

• Outbound webhooks for key events
• Configurable event triggers
• Retry mechanism with exponential backoff

Import/Export

• CSV import/export for all data
• Excel file support
• Bulk operations API
• Data validation and error reporting

🌍 Internationalization

Supported Languages

• English (en)
• Arabic (ar)
• German (de)
• French (fr)
• More languages coming soon

Adding New Languages

1. Create translation files: python manage.py makemessages -l <language_code>
2. Translate strings in .po files
3. Compile messages: python manage.py compilemessages
4. Add language to ALLOWED_LANGUAGES in settings

📈 Performance Optimization

Database Optimization

• Database indexing on frequently queried fields
• Query optimization with select_related and prefetch_related
• Connection pooling configuration
• Read replica support

Caching Strategy

• Template fragment caching
• Database query caching
• Static file caching with long expiry
• Redis caching layer (optional)

Frontend Optimization

• Minified CSS and JavaScript
• Image optimization and lazy loading
• HTMX for dynamic content without full page reloads
• CDN support for static assets

🚀 Deployment

Production Checklist

• Set DEBUG=False
• Configure strong SECRET_KEY
• Set up production database (PostgreSQL)
• Configure email settings
• Set up SSL/HTTPS
• Configure static file serving
• Set up backup strategy
• Configure monitoring and logging
• Set up Redis for caching (optional)
• Configure firewall and security groups

Deployment Options

1. Docker Compose (Recommended)

   docker-compose --profile production up -d
   

2. Kubernetes

   • Helm charts available in /k8s directory
   • Supports horizontal scaling
   • Includes health checks and rolling updates

3. Traditional Server

   • Systemd service files included
   • Nginx configuration templates
   • Debian/Ubuntu package installation

4. Cloud Platforms

   • AWS ECS/Fargate ready
   • Google Cloud Run compatible
   • Azure Container Instances support

🔍 Monitoring & Logging

Application Logs

# View application logs
docker-compose logs -f web

# View database logs
docker-compose logs -f db

# View nginx logs
docker-compose logs -f nginx

Health Checks

• Application: GET /health
• Database: Built-in connection monitoring
• WebSocket: Real-time connection status

Metrics Collection

• User activity tracking
• Performance metrics
• Error rate monitoring
• Resource usage statistics

🤝 Contributing

Development Setup

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Make your changes
4. Run tests: python manage.py test
5. Commit changes: git commit -m 'Add amazing feature'
6. Push to branch: git push origin feature/amazing-feature
7. Create a Pull Request

Code Style

• Follow PEP 8 for Python code
• Use Black for code formatting
• Run pylint for code analysis
• Write docstrings for all functions and classes

Reporting Issues

• Use GitHub Issues for bug reports
• Include detailed reproduction steps
• Provide environment information
• Add relevant logs and screenshots

🆘 Support

Community Support

• GitHub Issues: Bug reports and feature requests
• Discussions: Community Q&A and discussions
• Documentation: Comprehensive guides and tutorials

Enterprise Support

• Professional support available
• Custom development services
• Training and onboarding

📋 System Requirements

Minimum Requirements

• CPU: 2 cores
• RAM: 4GB
• Storage: 20GB
• OS: Linux, Windows, macOS
• Python: 3.12+
• Database: PostgreSQL 12+, MySQL 8.0+, or SQLite 3.x

Recommended Requirements

• CPU: 4+ cores
• RAM: 8GB+
• Storage: 50GB+ SSD
• Database: PostgreSQL 16+
• Redis: 6.0+ (for caching)

📄 License

This project is licensed under the LGPL2.1 License - see the LICENSE file for details.

🙏 Acknowledgments

• Django community for the excellent framework
• All contributors who have helped improve this project
• Open source libraries that make this project possible