A self-balancing binary search tree implementation in Dart, designed to maintain efficient search, insertion, and deletion operations with O(log n) complexity. The tree supports iteration via Iterable and provides powerful methods like greaterThan, lessThanOrEqual (for sublist creation), max, and min. Ideal for dynamic data sets requiring ordered access and range queries. Built with performance and usability in mind, it's suitable for applications needing fast sorted data management across multiple platforms.
Use cases
- Managing sorted data dynamically
- Implementing range queries
- Efficient lookup and insertion
- Building ordered collections
- Supporting real-time data processing
- Enabling fast min/max retrieval
Key features
- Self-balancing structure
- Iterable support
- Range-based queries (greaterThan, lessThanOrEqual)
- O(log n) operations
- Min/max access methods
- Cross-platform compatibility
Suitable for
- Developers needing ordered data structures
- Applications with frequent insertions and lookups
- Systems requiring sorted subsets
- Performance-critical data handling
- Dart projects on multiple platforms
Considerations
- Higher memory overhead than simple lists
- Not ideal for static datasets
- Requires understanding of BST concepts
- Less intuitive than built-in collections
- Potential complexity in debugging tree logic

