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reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-01-26T09:42:51.740Z","updated_at":"2026-01-26T09:42:51.810Z","avatar_url":"https://github.com/garyttierney.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# fiveo-web\n\nA fuzzy text searching library for the modern web built with [TypeScript](https://www.typescriptlang.org/) and [Rust](https://www.rust-lang.org).\n\n[![Travis](https://img.shields.io/travis/garyttierney/fiveo-web.svg)](https://travis-ci.org/garyttierney/fiveo-web)\n[![npm](https://img.shields.io/npm/v/fiveo-web.svg)](https://npmjs.com/fiveo-web)\n[![license](https://img.shields.io/github/license/garyttierney/fiveo-web.svg)](LICENSE)\n\n## Introduction\n\nAn example using React can be found [here](https://codesandbox.io/s/3q84085j36) by [@stephenwf](https://github.com/stephenwf)\n\n`fiveo-web` can be used to efficiently find approximate string matches across large in-memory dictionaries.  The aim is to use emerging web technologies to beat the performance of existing solutions.\n\n## Requirements\n\n`fiveo-web` is built on modern web technologies and requires implementations of two work in progress specifications to run:\n\n* [WebAssembly](https://caniuse.com/#feat=wasm)\u003csup\u003e1\u003c/sup\u003e\n* [TextEncoding](https://caniuse.com/#feat=textencoder)\u003csup\u003e2\u003c/sup\u003e\n\n## Installation\n \n The package can be installed via npm:\n ```\n \u003e $ npm install --save fiveo-web\n ```\n\n Then you can include it on your build, or directly on a web page, and start using it.\n\n ## Usage\n\n`fiveo-web` exports a single function that can be called to asynchronously create a `Matcher`:\n\n```js\nconst fiveo = require('fiveo-web');\nconst matcher = await fiveo.createBlockingMatcher([\n    \"entry 1\", \"entry 2\", \"entry 3\"\n]);\n```\n\nThe `Matcher` can then be used to `search` for matches:\n\n```js\nconst query = \"entry\";\nconst maxResults = 10;\nconst results = await matcher.search(query, maxResults);\n```\n\n## Building\n\nAfter cloning the git repository and installing dependencies via `npm install`, a webpack build can be ran with `npm run build`.  This will output TypeScript declaration files and transpiled code to `dist/`.\n\n## Benchmarks\n\n`fiveo-web` ships with a single benchmark that indexes a subset of an English dictionary.  It can be ran by building the benchmark with webpack:\n\n```shell\n\u003e $ npx webpack\n```\n\nThen running it from the shell or including the resulting script on a web page:\n```shell\n\u003e $ node dist/english_dictionary_bench_suite\nenglish_word_list (310k entries) x 703 ops/sec ±0.00% (1 run sampled)\nenglish_word_list (310k entries) x 769 ops/sec ±7.82% (2 runs sampled)\nenglish_word_list (310k entries) x 789 ops/sec ±13.53% (3 runs sampled)\nenglish_word_list (310k entries) x 824 ops/sec ±10.13% (4 runs sampled)\nenglish_word_list (310k entries) x 820 ops/sec ±9.22% (5 runs sampled)\nenglish_word_list (310k entries) x 772 ops/sec ±7.92% (6 runs sampled)\nenglish_word_list (310k entries) x 811 ops/sec ±6.39% (7 runs sampled)\nenglish_word_list (310k entries) x 808 ops/sec ±5.65% (8 runs sampled)\nenglish_word_list (310k entries) x 766 ops/sec ±5.04% (9 runs sampled)\n```\n## Contributing\n\nContributions via GitHub are welcome.  Please follow the standard [conventional changelog](https://github.com/conventional-changelog/conventional-changelog) commit format.\n\n## Licensing\n\n`fiveo-web` is licensed under the ISC license.  Please see the `LICENSE` file for more information.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgaryttierney%2Ffiveo-web","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgaryttierney%2Ffiveo-web","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgaryttierney%2Ffiveo-web/lists"}