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