Readonly but memory-sufficient data structure for dictionaries
Create and modify trie prefix structures, extract word lists including anagrams and sub-anagrams
Create and modify trie prefix structures, extract word lists including anagrams and sub-anagrams
Trie data structures for JavaScript
This is an implementation of the modified merkle patricia tree as specified in Ethereum's yellow paper, adapted for Polkadot
Trie implementation for node and js projects
An in-memory autocomplete package based on the trie data structure
Efficiently search through arrays using a Trie-based implementation for fast and optimized lookups.
This is an implementation of the codec for Substrate Trie
JavaScript Implementation of the IPLD format - Ethereum Transaction Trie
Check permissions using Shiro-like strings, put in a trie.
Binary Merkle Tree operations on data
Collection of string utilities. Edit-Distances, Search and Data structures. Offers for example trie, levenshtein distance.
Apache Shiro permission style using Trie data structure
[![NPM Version][npm-image]][npm-url]
npm module to check if a word exists in a language
word-break util using trie-search dictionary
This package can be used to implement a Search-As-You-Type funtionality and uses a Trie data structure
A simple class for ternary search trie in Node.js™.
## Usage
Customizable trie data structure built in JavaScript.
Immutable, structure sharing collections, including B-trees and S-trees (sequence trees)
Compress a trie map - ©Redsmin
Pure string:val storage, using structural sharing
A flexible trie-based registry for storing and querying entries with optional hierarchical keys. `Registrie` supports both simple key-value stores and complex nested structures, making it a versatile tool for various applications.
The TRIE data structure and search algorithm, on top of leveldb.