Showing 17 of 17 projects
Fuzzy string matching library for Python that calculates similarity between strings using Levenshtein Distance.
A Python library for computing distances between sequences with 30+ algorithms, pure Python implementation, and optional external libraries for speed.
A Java library implementing various string similarity and distance algorithms like Levenshtein, Jaro-Winkler, and n-gram methods.
A Python library for approximate and phonetic string matching, implementing algorithms like Levenshtein distance and Soundex.
A Rust library for compact ordered sets and maps using finite state transducers, enabling fast searches and range queries.
A POSIX-compliant regex library with approximate (fuzzy) matching and predictable performance.
Fastest JavaScript implementation of the Levenshtein distance algorithm for measuring string similarity.
A comprehensive Go library for string comparison and edit distance algorithms, including Levenshtein, LCS, Hamming, Jaro-Winkler, and Cosine similarity.
A lightweight, super fast C/C++ and Python library for sequence alignment using edit (Levenshtein) distance.
A high-performance Go library for calculating Levenshtein distance between strings, including Unicode support.
A Ruby extension library implementing multiple algorithms for approximate string matching, searching, and comparison.
A fast C++ library for fuzzy string matching using Levenshtein Distance, offering MIT licensing and algorithmic improvements.
A Swift micro-framework for efficient array diffs, collection observation, and UITableView/UICollectionView data source adapters.
A simple and lightweight fuzzy search engine that works in memory, searching for similar strings.
A Python library for computing string similarity metrics including Levenshtein, Hamming, Jaccard, and Sorensen distances.
A Go package for calculating Levenshtein distance and similarity metrics with customizable edit costs and prefix bonuses.
An Elixir natural language processor for tokenization, counting, and string similarity analysis.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.