JSONTry (pronounced "jay-son-tree") is an experimental JSON viewer application built with Flutter for macOS and Windows. Its primary goal is to benchmark Flutter's performance when handling large JSON data files, making it a valuable tool for developers interested in high-performance desktop applications. JSONTry serves as an alternative to Dadroit JSON Viewer, with some parts of the code "vibe coded" for rapid prototyping and creative solutions.

• Large File Support: Optimized for JSON files up to 1GB+ with streaming and compute isolate processing
• Lazy Loading: Tree nodes are loaded on-demand for better memory efficiency
• Search (WIP): Real-time search across keys and values with highlighting (work in progress)

• Native Look: Uses native UI components for macOS and Windows
• Dark/Light Theme: Automatic theme detection and support

• Tree View: Hierarchical display of JSON structure with expand/collapse
• Context Menu: Right-click to copy keys, values, or paths
• Search: Filter JSON nodes by key or value
• Type Indicators: Visual badges showing data types (Object, Array, String, Number, etc.)
• Performance Metrics: Shows file size, load time, and node count

• Flutter SDK (>=3.4.0)
• For macOS: Xcode and macOS 10.15+
• For Windows: Visual Studio with C++ tools

1. Install dependencies:

flutter pub get

2. Build for your platform:

macOS:

flutter build macos --release

Windows:

flutter build windows --release

3. Run the application (debug):

flutter run -d macos  # For macOS
flutter run -d windows  # For Windows

1. Open JSON File: Click the folder icon in the toolbar or use the "Open JSON File" button
2. Navigate: Click expand/collapse icons to explore the JSON structure
3. Search: Use the search bar to filter nodes by key or value
4. Copy Data: Right-click any node to copy its key, value, or path
5. View Status: Check the status bar for file information and performance metrics

• Files >50MB are processed using compute isolates to prevent UI blocking
• Streaming approach for very large files
• Memory-efficient tree node structure

• Real-time filtering with debouncing
• Efficient string matching algorithms
• Maintains tree structure during search

• Virtual scrolling for large datasets
• Lazy loading of tree nodes
• Optimized rendering with Flutter's widget tree