Open Source ChromeOS Search Software

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++.

Power searching on your desktop without the pain. Perform powerful desktop searches without having to index your system using regular expressions. Graphical equivalent to find/grep. Available for Windows (JAVA) and Linux (Gnome & KDE) and easy to translate into your locale.

Search and replace operations on file content accross multiple files. Recursive operations within entire directory trees. FAR comes with support for regular expressions (regex) over multiple lines, automatic backup and various character encodings. Run grep like extractions to condense or rearrange sources, or perform bulk file renaming.

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.

phpMorphy is morphological analyzer library written in pure PHP. Currently supports Russian, English and German languages.

MiniSearch is a minimalist web search application with a built-in AI assistant that runs largely inside the browser for privacy-focused information retrieval. The project combines metasearch capabilities with local or remote language model inference to provide conversational answers alongside traditional search results. It is designed to be lightweight, easy to deploy with Docker, and configurable for both personal and hosted use cases. The platform supports browser-level integration so users can set it as their default search engine for quick access. Its architecture emphasizes privacy by avoiding tracking and minimizing data collection while still enabling advanced AI features. Overall, MiniSearch targets users who want a self-hosted, Perplexity-style search experience with strong control over data and models.

SCAN (Smart Content Aggregation and Navigation) is a universal semantic content aggregator. It combines search, text analysis, tagging and metadata functions to provide new user experience of desktop navigation and document management.

DupLichaSe is a very fast Duplicate File Detector that uses inductive heuristics to detect duplicate files very fast; based on content! DupLichaSe stands out from EVERY other Duplicate file detection Software because of it's graph based semi-automatic selection system. ... after finding 100s of duplicate files, do you have to go through some manual and possibly laborious process of deleting the duplicates? ...or is there a way for the Software to learn and do most of it for you in a SAFE and RECOVERABLE MANNER? YES!! There is!! ...This Software will ALSO help you and delete duplicate files, after you must have taken action on a a FEW important files(i.e large files that are duplicates). ++Thanks to its trivial Graph based suggestion System

This is a autorun menu for cd's. It link a name with a file and a short description. It can execute/open files, copy directories, execute commands, etc and it is really easy to use. (Spanish)

DuMP3 is a duplicate and similar file finder. It finds exact duplicate binaries by hash, similar text files by substring content, images (JPG, BMP, GIF, PNG, etc) by color and audio files (MP3, WAV, OGG, etc) by wave data. Future: fonts, video.

Enable your academic documents on your hard-drive to be searched using an automated solution with limited user-intervention. All this is done in a non-intrusive manner, ensuring your files are not moved.

Aperture is a Java framework for extracting and querying full-text content and metadata from various information systems (file systems, web sites, mail boxes, ...) and the file formats (documents, images, ...) occurring in these systems.

BeanQuery is a Java solution that allows for querying arbitrary collections of arbitrary object types by using a criteria like API in a declarative and typesafe manner.

A high-performance implementation of bloom filters, a lightweight duplicate detection algorithm.

Dessy is a DEsktop Search and SYnchronization framework for mobile devices. It allows file search using content, metadata, and custom tags, and synchronization of results, and entire file system subtrees. It works on MIDP 2.0 handsets and Java 2 SE.

Didaskon will deliver a framework for assembling a curriculum from existing learning objects provided by e-Learning services. The selection of learning objects will be based on the semantically annotated specification of the user's current skills.

The application should take a directory and parse it recursively or not, and execute a given executor. The executors shuold be pluggable and rendered on the application's ui according to some strict rules.

Java application using tree map algorithms to visualise disc space usage. Lets find forgotten large "space-eaters" files in an easy way.

disk manager is a CD/DVD archiving tool. It storys the directory contents of any media so you can search it later. Its also designed as file explorer which makes it easy to find big files. Windows Version supports native file context menus.

Document summarization system. By adding document content to system, user queries will generate a summary document containing the available information to the system.

A simple document management system (DMS). Documents and associated datas are stored in a single file. Keep all your documents in your pocket on your USB stick.

Duplicate Checker searches your folders for identical files. It comes with an easy to use graphical user interface, and an effective command line mode.

The goal of DynaQ is to develop an inquiry system to explore the personal information space, supporting you with the searching paradigm 'orienteering'. DynaQ is a (desktop)search engine with enhanced functionality for file, email and blog search. Look at our GitLab homepage for sourcecode and documentation: http://dynaq.opendfki.de

Bible Concordance generator and viewer for UNIX/Linux/Cygwin, written in C. Supports multiple word searches using boolean operators and Reverse Polish notation. Unlike printed concordances, shows complete verse, and in context.

ENAS in PyTorch is a PyTorch implementation of Efficient Neural Architecture Search (ENAS), a method that automates the design of neural network architectures through reinforcement learning and parameter sharing. The repository demonstrates how a controller network can explore a large search space and discover high-performing architectures while dramatically reducing the computational cost traditionally associated with neural architecture search. It is primarily intended as a research and educational codebase, helping practitioners understand how ENAS works in practice and how to reproduce results on benchmark datasets. The project includes training scripts, model definitions, and search procedures that show the full workflow from architecture sampling to evaluation. Because ENAS relies on shared weights among candidate models, the implementation emphasizes efficiency and experiment reproducibility.