Fuzzy Matching
Showing 27 of 27 projects
A smarter cd command that learns your most-used directories for fast navigation across all major shells.
A smarter cd command that learns your most-used directories for fast navigation across all major shells.
A command-line tool that learns your most-used directories and enables fast navigation with fuzzy matching.
A command-line tool that learns your most-used directories and enables fast navigation with fuzzy matching.
A performant, batteries-included completion plugin for Neovim with LSP, snippet, and fuzzy matching support.
A fast, portable, and hackable fuzzy finder for the terminal that searches files, text, git repos, and custom data sources.
A Python library using machine learning for accurate and scalable fuzzy matching, record deduplication, and entity resolution on structured data.
A Python library for computing distances between sequences with 30+ algorithms, pure Python implementation, and optional external libraries for speed.
A full-featured full-text search engine written entirely in PHP with fuzzy search, geo-search, and dynamic index updates.
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 shell helper that learns your directory habits and enables fast fuzzy navigation.
A Sublime Text bundle with fuzzy abbreviations and smart completions for writing CSS and preprocessor code faster.
A lightweight fuzzy-search library for Swift with zero dependencies.
An R package for joining data frames on inexact matching using string distance, regex, numeric tolerance, and other fuzzy criteria.
A PowerShell module that tracks frequently used directories and enables fast navigation using fuzzy matching and tab completion.
A small, full-text search library for .NET Core, ported from lunr.js, ideal for lightweight applications.
A fast C++ library for fuzzy string matching using Levenshtein Distance, offering MIT licensing and algorithmic improvements.
A CLI tool to easily start, stop, and manage Docker Compose projects with fuzzy name matching.
A Ruby gem providing a fast, accurate, and encoding-aware implementation of the Jaro-Winkler string similarity algorithm.
A JavaScript string-scoring and fuzzy-matching library based on the Quicksilver algorithm, designed for smart auto-complete.
A .NET library implementing various string similarity and distance metrics like Levenshtein, Jaro-Winkler, and Soundex.
A Go package for calculating Levenshtein distance and similarity metrics with customizable edit costs and prefix bonuses.
A .NET library providing an in-memory data structure with efficient indexing and querying, including range, spatial, vector, and fuzzy string matching.
A collection of fuzzy string matching algorithms and phonetic metrics for Elixir, including Levenshtein, Jaro-Winkler, Soundex, and more.
A fuzzy command-line completer that generates custom completions from user-defined patterns and commands.
Fast Ruby FFI gem providing C implementations of string edit distance algorithms like Levenshtein, Jaro-Winkler, and N-Gram.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.