Simple spellchecker uses approximate string matching(fuzzy search) algorithm based on Levenshtein distance between two strings
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Updated
Jul 1, 2018 - C++
Simple spellchecker uses approximate string matching(fuzzy search) algorithm based on Levenshtein distance between two strings
SimFind is a database approach to similarity search (approximate matching).
Non-linear dialog system for video games driven by fuzzy logic. For UE4
A blazing fast dictionary for the Terminal.
Fuzzy Multi-Regex B-Tree data structure for compilating regex matchers
Fast fuzzy string search
Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.
A library for fuzzy-string-searching using suffix trees and levenschtein automatons to perform extremely fast search queries on large data sets. Serialize and deserialize functions allow suffix trees to persist (and drastically reduce preprocessing time).
Given a URL or a list of URLs, this program crawls through all linked URLs and allows for fast fuzzy-string look-ups. The program will return the URL, the matched text, and the location of the matched text.
Fast SymSpell written in c++ and exposes to python via pybind11
Yoyo-leaf is an awesome command-line fuzzy finder.
Search and Fix C/C++ includes, after moving source and header files to new directories.
A fuzzy finder, based on fzy
Fast fuzzy regex matcher: specify max edit distance to find approximate matches. FuzzyMatcher is now included in RE/flex.
package for exact edit similarity joins
Blazing fast library for fuzzy filtering, matching, and other fuzzy things!
Fast Open-Source Search & Clustering engine Γ for Vectors & π Strings Γ in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram π
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch β‘ π β¨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
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