LN Node Profile Rank

A comprehensive Lightning Network node analysis platform that provides rankings and detailed profiles of Lightning Network nodes, built as part of the Bitcoin Data Labs ecosystem.

Features

• Node Rankings: Interactive data table with sorting, filtering, and pagination
• Node Profiles: Detailed analysis of individual nodes (coming soon)
• Responsive Design: Works seamlessly on desktop and mobile devices
• Fast Data Loading: Efficient parquet file parsing using hyparquet
• Bitcoin Data Labs Integration: Consistent header/footer across the ecosystem

Project Structure

ln-nodeprofile-rank/
├── index.html              # Landing page with navigation cards
├── prank.html              # Node rankings page with data table
├── styles/
│   ├── main.css            # Main styling and layout
│   └── table.css           # Data table specific styles
├── scripts/
│   └── table.js            # Data table functionality
├── data/
│   └── node_rank.parquet   # Node ranking data
└── README.md

Setup

1. Clone the repository
2. Place your parquet data file in the data/ folder as node_rank.parquet
3. Serve the files using a local web server or VS Code extension

Local Development

Use any of these methods to serve the files locally:

VS Code Extensions (Recommended):

• Install "Live Server" extension
• Right-click on index.html and select "Open with Live Server"

Alternative methods:

# Using Python
python -m http.server 8000

# Using Node.js
npx serve .

# Using PHP
php -S localhost:8000

Data Format

The application expects a parquet file named node_rank.parquet in the data/ folder. The table will automatically display all columns present in the parquet file with the following features:

• Automatic column detection: Displays all columns from the parquet file
• Smart formatting: Numbers are formatted with locale-specific separators
• Sorting: Click any column header to sort (ascending/descending)
• Search: Real-time filtering across all columns
• Pagination: Navigate through large datasets efficiently

Dependencies

• Bitcoin Data Labs Components: For consistent header/footer across Bitcoin Data Labs applications
• Hyparquet: Efficient client-side parquet file parsing
• Font Awesome: Icons for UI elements
• Modern browser with ES6+ support

Browser Compatibility

• Chrome/Edge 88+
• Firefox 85+
• Safari 14+

Contributing

Please follow the existing code style and patterns established in the ln-graph-viz project for consistency across Bitcoin Data Labs applications.

License

This project follows the same license as other Bitcoin Data Labs projects.