Tools Technologies - RutgersGRID/VIDAHub GitHub Wiki
Tools and Technologies
Streamlit Application Development
Streamlit Overview
- Web application framework for Python
- Designed for data-centric applications
- Rapid prototyping capabilities
- Built-in widgets and components
Best Practices
- State management techniques
- Performance optimization
- Component reuse
- Styling and customization
VIDA-Specific Patterns
- Standard layout templates
- Common UI components
- Navigation patterns
- Error handling
AI Integration
Claude.ai Integration
- API connection setup
- Prompt engineering guidelines
- Response parsing and handling
- Rate limiting and error handling
Hugging Face Integration
- Model selection guidelines
- Model loading and caching
- Inference optimization
- Memory management
UV Package Management
UV Overview
- Modern Python package manager
- Benefits over pip/poetry
- VIDA-specific requirements
Commands and Usage
uv sync
: Synchronize dependencies
uv venv
: Virtual environment management
uv python pin
: Version pinning
AWS Deployment
Infrastructure Overview
- ECS/Fargate for container orchestration
- Load balancer configuration
- CloudFront for content delivery
- Route 53 for DNS management
Deployment Process
- Container creation
- Registry upload
- Service update
- Health verification
Docker Containerization
Container Strategy
- Base images
- Layer optimization
- Multi-stage builds
- Environment configuration
Local Development with Docker
- Docker Compose setup
- Volume mounting
- Network configuration
- Debugging containerized applications