Overview
A lightweight, in-memory fuzzy text search library designed for efficient and flexible text matching within Flutter applications. It enables users to perform approximate string matching, making it ideal for autocomplete, filtering, and search functionalities where exact matches are not required. The library is optimized for performance and works seamlessly across all major platforms including Android, iOS, Web, macOS, Windows, and Linux. Built with simplicity in mind, it integrates easily into existing projects via a straightforward API.
Use cases
- Real-time search input handling
- Autocomplete suggestions
- Filtering lists with typo tolerance
- Data lookup with partial matches
- User-friendly search experiences
Key features
- Fuzzy matching algorithm
- In-memory operation for speed
- Cross-platform compatibility
- Simple and intuitive API
- Supports partial and misspelled word matching
Suitable for
- Developers building search interfaces
- Apps requiring typo-tolerant searches
- Projects needing fast local text filtering
- Flutter apps targeting multiple platforms
- Lightweight search solutions without backend dependencies
Considerations
- Not suitable for large datasets due to in-memory storage
- Limited to client-side searching
- Performance may degrade with very large data sets
- No built-in support for remote or database queries
- Best used with moderate-sized collections of text