Track, Visualize and Analyze

This Drowser Studio depend from reports collected from the Drowser Deno Package who is available on Denoland 🦕

You can find the Drowser lib from Denoland here

Setup

Services

You need to have Docker installed on your machine. you can check here for installation instructions.

Run the docker compose file by executing the following command:

$ docker-compose up -d

Application

Install dependencies:

$ pnpm install

And then install Infisical CLI here, then run these following commands:

Run database migration by executing the following command:

$ infisical run --env=dev --watch --recursive -- pnpm run db:migrate

And, Run the application by executing the following command:

$ infisical run --env=dev --watch --recursive -- pnpm dev

Or, if you don't have access to our Infisical, you can set all the environment variables from the .env.example file to your .env file by creating a new .env file in the root directory, and then running these following commands:

Run database migration by executing the following command:

$ pnpm run db:migrate

And, Run the application by executing the following command:

$ pnpm dev

Roadmap

Resume Features

• Templates & Customization
  • Multiple resume layout options/themes
  • Custom color schemes
  • Font customization options
  • Custom section ordering

Report Enhancement

• Advanced Visualizations

  • Interactive dashboard components
  • Custom chart types and configurations
  • Data filtering and sorting options
  • Export visualizations as PNG/PDF

• AI-Powered Analytics

  • Trend detection and insights
  • Anomaly detection
  • Predictive analytics
  • Natural language report summaries

User Experience

• Collaboration Features

  • Shared workspaces
  • Comment and annotation system
  • Real-time collaboration
  • Role-based access control

• Workflow Integration

  • Custom notification rules
  • Integration with CI/CD pipelines
  • Webhooks for external systems
  • API extensions for custom integrations

Infrastructure

• Performance Optimizations

  • Server-side caching
  • Database query optimization
  • Lazy-loading for large datasets
  • Background processing for heavy tasks

• Mobile Support

  • Responsive mobile interface
  • Native mobile application
  • Offline capabilities
  • Push notifications

License

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