Open Source Mac Search Software
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Search Software for Mac
View 19 business solutionsBrowse free open source Search software and projects for Mac below. Use the toggles on the left to filter open source Search software by OS, license, language, programming language, and project status.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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DocFetcher
Desktop search application
DocFetcher is an Open Source desktop search application: It allows you to search the contents of files on your computer. — You can think of it as Google for your local files. The application runs on Windows, Linux and Mac OS X. -
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Bowtie, an ultrafast, memory-efficient short read aligner for short DNA sequences (reads) from next-gen sequencers. Please cite: Langmead B, et al. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol 10:R25.
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CLucene is a C++ port of Lucene: the high-performance, full-featured text search engine written in Java. CLucene is faster than lucene as it is written in C++.
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ripgrep
Regex pattern directory search tool that respects your .gitignore
ripgrep is a line-oriented search tool that actively searches the directory you're currently in for a regex pattern. By default, ripgrep will ignore your .gitignore and skip hidden files or directories and binary files automatically. ripgrep has first class support on Windows, macOS and Linux, with binary downloads available for every release. ripgrep is similar to other popular search tools like The Silver Searcher, ack and grep. ripgrep supports arbitrary input preprocessing filters which could be PDF text extraction, less supported decompression, decrypting, automatic encoding detection and so on. In other words, use ripgrep if you like speed, filtering by default, fewer bugs and Unicode support. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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fzf
A command-line fuzzy finder
fzf is a general-purpose command-line fuzzy finder. It's an interactive Unix filter for command-line that can be used with any list; files, command history, processes, hostnames, bookmarks, git commits, etc. fzf will launch an interactive finder, read the list from STDIN, and write the selected item to STDOUT. Without STDIN pipe, fzf will use find command to fetch the list of files excluding hidden ones. (You can override the default command with FZF_DEFAULT_COMMAND). fzf by default starts in fullscreen mode, but you can make it start below the cursor with the height option. Unless otherwise specified, fzf starts in "extended-search mode" where you can type in multiple search terms delimited by spaces. Fuzzy completion for files and directories can be triggered if the word before the cursor ends with the trigger sequence, which is by default **. Fuzzy completion for PIDs is provided for the kill command. In this case, there is no trigger sequence. -
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Meilisearch
An open-source, lightning-fast, and hyper-relevant search engine
An open-source, lightning-fast, and hyper-relevant search engine that fits effortlessly into your apps, websites, and workflow. Meilisearch is a flexible and powerful user-focused search engine that can be added to any website or application. Search-as-you-type returns answers in less than 50 milliseconds. That's faster than the blink of an eye! Deploy in a matter of minutes. Smart presets let you start searching through your data with zero configuration. Send data to Meilisearch however you want, no need to match a schema or convert your dataset to a compatible format. Everyone makes mistakes! If typos break your search experience, many users will leave thinking what they were looking for just wasn't there. Start searching through your dataset in less than 5 minutes and quickly connect your codebase to Meilisearch with our official libraries. Meilisearch is designed to work out-of-the-box, no configuration needed. -
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Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
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FSearch
A fast file search utility for Unix-like systems based on GTK3
FSearch is a blazing-fast file search utility for Linux inspired by Windows’ Everything Search Engine, built to allow users to locate files and directories instantly by name rather than content. It achieves its high performance by indexing the filesystem and updating that index in real time, so as you create, rename, or delete files the results stay up to date without noticeable lag. The intuitive user interface supports incremental search — where results filter as you type — plus features like regular expressions, case-sensitivity options, and customizable indexing scopes, making it both powerful and accessible. Designed with GTK and written in C, it integrates nicely with desktop environments like GNOME, XFCE, and Cinnamon while still being lightweight and resource-efficient. Developers and power users appreciate FSearch for dramatically reducing the time it takes to find files compared to traditional search tools, especially on large partitions. -
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truffleHog
Searches through git repositories for high entropy strings and secrets
truffleHog searches through git repositories for high entropy strings and secrets, digging deep into commit history. TruffleHog runs behind the scenes to scan your environment for secrets like private keys and credentials, so you can protect your data before a breach occurs. Secrets can be found anywhere, so TruffleHog scans more than just code repositories, including SaaS and internally hosted software. With support for custom integrations and new integrations added all the time, you can secure your secrets across your entire environment. TruffleHog is developed by a team entirely comprised of career security experts. Security is our passion and primary concern, and all features are developed with best practices in mind. TruffleHog enables you to track and manage secrets within our intuitive management interface, including links to exactly where secrets have been found. TruffleHog runs quietly in the background, continuously scanning your environment for secrets. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Fuse.js
Lightweight fuzzy-search, in JavaScript
Fuse.js is a powerful, lightweight fuzzy-search library, with zero dependencies. Generally speaking, fuzzy searching (more formally known as approximate string matching) is the technique of finding strings that are approximately equal to a given pattern (rather than exactly). It might not make sense for every situation, but can be ideal depending on your search requirements. For example, qhen you want client-side fuzzy searching of small to moderately large data sets. Also, when you can't justify setting up a dedicated backend simply to handle search. ElasticSearch or Algolia, although both great services, may be overkill for your particular use cases. You can access all options above via Fuse.config. This is useful if you want to override default options for all Fuse instances. Fuse.js supports logical query operators. These operators are used for filtering the data and getting precise results based on the given conditions. -
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SWR
React Hooks library for remote data fetching
The name “SWR” is derived from stale-while-revalidate, a HTTP cache invalidation strategy popularized by HTTP RFC 5861. SWR is a strategy to first return the data from cache (stale), then send the fetch request (revalidate), and finally come with the up-to-date data. With SWR, components will get a stream of data updates constantly and automatically. And the UI will be always fast and reactive. With just one single line of code, you can simplify the logic of data fetching in your project, and also have all many amazing features out-of-the-box. SWR has you covered in all aspects of speed, correctness, and stability to help you build better experiences. Fast page navigation, polling on interval, data dependency, revalidation on focus, revalidation on network recovery, local mutation (Optimistic UI), smart error retry, pagination and scroll position recovery, React Suspense, and more. -
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Sonic
Fast, lightweight & schema-less search backend
Sonic is a super fast and lightweight, schema-less search backend that can be used in place of super-heavy and full-featured search backends like Elasticsearch. It is able to normalize language search queries, auto-complete search queries and offer the most relevant results. Being an identifier index rather than a document index, when queried it provides IDs that can be used to refer to matched documents in an external database. -
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fd
A simple, fast and user-friendly alternative to 'find'
fd is a program to find entries in your filesytem. It is a simple, fast and user-friendly alternative to find. While it does not aim to support all of find's powerful functionality, it provides sensible (opinionated) defaults for a majority of use cases. First, to get an overview of all available command line options, you can either run fd -h for a concise help message or fd --help for a more detailed version. fd is designed to find entries in your filesystem. The most basic search you can perform is to run fd with a single argument: the search pattern. Instead of just showing the search results, you often want to do something with them. fd provides two ways to execute external commands for each of your search results: the -x/--exec option runs an external command for each of the search results (in parallel), or the -X/--exec-batch option launches the external command once, with all search results as arguments. -
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Better Errors
Better error page for Rack apps
Better Errors replaces the standard Rails error page with a much better and more useful error page. It is also usable outside of Rails in any Rack app as Rack middleware. -
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Cerebro
Open-source productivity booster with a brain
Cerebro is an open source electron-based productivity software that lets you search and see everything you need on your PC in one place. With just a few clicks you can search on your machine or on the internet everything you need; see everything you need without having to open another application; and easily find and use what you want. -
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Laravel Scout Elasticsearch
Search among multiple models with ElasticSearch and Laravel Scout
The package provides the perfect starting point to integrate ElasticSearch into your Laravel application. It is carefully crafted to simplify the usage of ElasticSearch within the Laravel Framework. It’s built on top of the latest release of Laravel Scout, the official Laravel search package. Using this package, you are free to take advantage of all of Laravel Scout’s great features, and at the same time leverage the complete set of ElasticSearch’s search experience. -
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Scout Elasticsearch Driver
Offers advanced functionality for searching data in Elasticsearch
This package offers advanced functionality for searching and filtering data in Elasticsearch. -
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pg_textsearch
PostgreSQL extension for BM25 relevance-ranked full-text search
The pg_textsearch project is a PostgreSQL extension designed to enhance full-text search capabilities within the database environment. It provides tools and optimizations for indexing and querying textual data efficiently, enabling developers to build search functionality directly into their applications without relying on external search engines. The extension integrates with PostgreSQL’s native indexing mechanisms, allowing for scalable and performant search operations across large datasets. It also supports advanced query features such as ranking, filtering, and linguistic processing. By embedding search capabilities within the database, it simplifies architecture and reduces operational complexity. The project is particularly useful for applications that require fast and accurate text retrieval. Overall, pg_textsearch extends PostgreSQL into a more powerful platform for text-based data exploration. -
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rga
rga: ripgrep, but also search in PDFs, E-Books, Office documents, etc.
rga is a line-oriented search tool that allows you to look for a regex in a multitude of file types. rga wraps the awesome ripgrep and enables it to search in PDF, docx, sqlite, JPG, movie subtitles (mkv, mp4), etc. -
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trieve
All-in-one infrastructure for search, recommendations, RAG
Trieve is an all-in-one infrastructure for building hybrid vector search, recommendations, and RAG. -
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Katalog
Catalog your devices to search, analyze, and backup your files.
Catalog your devices to search, analyze, and backup your files: - Create catalogs from different sources or devices - Search and explore files even when the devices are disconnected - Organize and backup your collection of files, and get statistics User documentation: - Get started/Tutorial: https://stephanecouturier.github.io/Katalog/docs/tutorial - Download (Linux Flathub): https://flathub.org/en/apps/io.github.stephanecouturier.Katalog - Documentation: https://stephanecouturier.github.io/Katalog/docs/Overview - Development: https://stephanecouturier.github.io/Katalog/docs/Development-Overview - Facebook: https://www.facebook.com/Katalog-107117844916308 -
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AnySearch Skill
Unified real-time search engine skill for AI agents
AnySearch Skill is a real-time search engine skill for AI agents. It gives agents a structured way to search the web, run vertical searches, perform parallel batch searches, and extract full-page content. The project is packaged as a skill rather than a standalone search application, so it is meant to be installed into compatible AI-agent environments. It supports multiple domain-specific search categories, making it useful when general web search is too broad. The skill can also fetch page content after a URL is found, which helps agents answer questions from source material rather than snippets alone. Its main value is turning web search into a reusable, agent-friendly capability with consistent inputs and outputs. -
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Laravel Scout
Provides a driver based solution to searching your Eloquent models
Laravel Scout provides a simple, driver-based solution for adding full-text search to your Eloquent models. Once Scout is installed and configured, it will automatically sync your model changes to your search indexes. -
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TNTSearch
A fully featured full text search engine written in PHP
TNTSearch is a full-text search engine written in PHP, designed to be integrated into Laravel and other PHP applications. It offers real-time, efficient indexing and searching of textual data using SQLite as its storage backend. TNTSearch is highly configurable and supports features like fuzzy searching, customizable ranking algorithms, and boolean search, making it a powerful tool for adding search functionality to websites and applications. -
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List.js
Library for adding search, sort, filters and flexibility to tables
Tiny, invisible and simple, yet powerful and incredibly fast vanilla JavaScript that adds search, sort, filters and flexibility to plain HTML lists, tables, or anything. List.js can be used in three different ways. It can be on existing HTML, it can create it's own HTML or a combination of both methods. Works both lists, tables and almost anything else. E.g. <div>,<ul>,<table>, etc. Simple templating system that adds possibility to add, edit, remove items. Perfect library for adding search, sort, filters and flexibility to tables, lists and various HTML elements. Built to be invisible and work on existing HTML. Simple and invisible. Easy to apply to existing HTML. No dependencies. Fast, and tiny (5KB minified&gzip). It can handle thousands of items. It is easy to add search input and sort buttons with just a few classes and attributes in your HTML. ‘Automagical’ because List.js registers the event handlers, searches/sorts and updates the list for you.
