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Ifrit

Super lightweight lib for fuzzy searching.

Works on iOS / macOS / Linux / Android and more:

This repository is built upon the archived Fuse-Swift project by KRisk: https://github.com/krisk/fuse-swift

https://github.com/ukushu/Ifrit.git
git@github.com:ukushu/Ifrit.git

什么是模糊搜索？

模糊搜索算法旨在为给定的搜索查询找到近似匹配项。

假设你有一个产品列表，用户正在寻找“Czy Swetr”，精确匹配将返回空结果，但模糊搜索会找到“Cozy Sweater”。

如果你需要精确匹配——你需要使用标准函数 .filter { }，而不是这个库。

模糊搜索演示：

[![Ifrit 演示][1]][1]

Ifrit 的优点 / 缺点

Advanteges:
+ Super lightweight
+ No dependencies
+ OS supported: MacOS(>=v10_15), iOS(>=v13), visionOS, watchOS, twOS, Linux
+ Async ( async/await + callbacks both )
+ Text highlight support (AttributedString)
+ Code covered with automated tests
+ Most of code licensed by "MIT License" 
+ Can be linked as both Static and Dynamic package — choose what works best for you
Disadvantages:
Not tested in production
FuzzyFind licensed by "Apache License, Version 2.0"

区别：伊弗利特 VS Fuze-Swift？

- Fuze-Swift: Swift 5.1~
+ Ifrit: Swift 6.2 compatible
+ Fuze-Swift support Pods and Packages :)
Ifrit supports only Packages :(
Fuze-Swift is dead :(
+ 🔥🔥🔥 Ifrit is Fuse-Swift, reborn from the hells ashes! But more powerful and alive than ever! 🔥🔥🔥 :)
Fuse-Swift supports asynchronous functions with callbacks but lacks native async/await support. :(
+ Ifrit supports callbacks and async/await both :)
Fuze-Swift have async/multithreading issues. Crashes is possible :(
+ Ifrit is stable and crash-free!
Fuse-Swift's async functions return incorrect results - wrong indexes. :((((
+ Ifrit's async functions return correct indexes and are fully covered with tests :)
Fuze-Swift was written for Xcode 11 and now generates numerous warnings :(
+ Ifrit's code is updated to the latest Swift standards of 2026 year :) 
But Ifrit still have a few build warnings :(
+ Ifrit - extended coverage with automated tests :)
+ Ifrit features an additional search system using the Levenshtein distance algorithm. :)
+ Ifrit allows searching by multiple search templates
+ Ifrit's syntax has been slightly adjusted for improved flexibility
+ Ifrit's sync search is 2% faster than Fuse's (using M1 processor and standard settings).
+         Async search performance remains the same as Fuse's (standard settings).+ Ifrit was ported to Kotlin programming language: https://github.com/dfabulich/skip-ifrit

安装

XCode -> 菜单栏 -> 添加包依赖 -> https://github.com/ukushu/Ifrit.git

在你的源文件中 import Ifrit。

文档 / 使用说明 / 示例项目

Ifrit 仓库没有示例项目。使用以下说明：

如何使用 Ifrit 的 Fuse

如何使用 Ifrit 的 Levenstain

如何在 UI 中显示搜索结果

贡献

Ifrit 欢迎以 GitHub 问题和拉取请求的形式进行贡献。

[1]: https://i.sstatic.net/8MwFeAHT.gif

--- Tranlated By Open Ai Tx | Last indexed: 2026-04-26 ---