Open Source Search Software
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Search Software
View 117 business solutionsBrowse free open source Search software and projects 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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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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RED searches and deletes empty directories recursively below a given start folder and shows the result in a well arranged tree. Further you can create some custom rules for keeping and deleting folders. Empty files in directories can also be ignored.
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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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Save hundreds of developer hours with components built for SaaS applications.Whether you want full self-service analytics or simpler multi-tenant security, Qrvey’s embeddable components and scalable data management remove the guess work.
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grepwin
A powerful and fast search tool using regular expressions
grepWin is a simple search and replace tool which can use regular expressions to do its job. This allows to do much more powerful searches and replaces. Note: project has moved to GitHub https://github.com/stefankueng/grepWin -
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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. -
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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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searchmonkey
Powerful desktop search app for Windows, Linux and Mac
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. -
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TLPD is designed to tackle the 'path name too long' issue. It scans the directory tree, searching for files and folders with full path name that may be too long for Windows to handle. TLPD is portable, has silent mode. ReadMe and source are available.
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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.
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dirsearch
Web path scanner
An advanced command-line tool designed to brute force directories and files in webservers, AKA web path scanner. Wordlist is a text file, each line is a path. About extensions, unlike other tools, dirsearch only replaces the %EXT% keyword with extensions from -e flag. For wordlists without %EXT% (like SecLists), -f | --force-extensions switch is required to append extensions to every word in wordlist, as well as the /. To use multiple wordlists, you can separate your wordlists with commas. Example: wordlist1.txt,wordlist2.txt. Default values for dirsearch flags can be edited in the configuration file: default.conf. The thread number (-t | --threads) reflects the number of separated brute force processes. And so the bigger the thread number is, the faster dirsearch runs. By default, the number of threads is 30, but you can increase it if you want to speed up the progress. -
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Locate32
Locate32 finds files and directories based on file names.
Locate32 finds files and directories based on file and folder names stored in a database. Locate32 saves to a database the names of all files on your hard drives. Once the file indexing has occurred, you can locate files quickly by using the application's search form. It works like "updatedb" and "locate" commands in Unix. In other words, it uses databases to store information about directory structures and uses these databases in searches. The use of these databases provides very fast searching speed. The software includes a dialog-based application as well as console programs that can be used to update and access the databases. Locate32 is not primarily meant to find text or data within files, but it has a primitive feature to do this. -
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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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OpenSearchServer Search Engine
An open source search engine with RESTFul API and crawlers
OpenSearchServer is a powerful, enterprise-class, search engine program. Using the web user interface, the crawlers (web, file, database, etc.) and the client libraries (REST/API , Ruby, Rails, Node.js, PHP, Perl) you will be able to integrate quickly and easily advanced full-text search capabilities in your application: Full-text with basic semantic, join queries, boolean queries, facet and filter, document (PDF, Office, etc.) indexation, web scrapping,etc. OpenSearchServer runs on Windows and Linux/Unix/BSD. -
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Searcher
Search utility for files
This utility is intended to help in search or grep for multiple content in multiple locations for multiple file types. For help/usage, see the wiki page: https://sourceforge.net/p/searcher/wiki/Home/ -
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This tool enables users to search their NTFS formatted harddrives within seconds. It uses the MFT( master file table) of NTFS to search for files very fast. Ermöglicht eine extrem schnelle Dateisuche auf NTFS formatierten Festplatten.
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Apache Lucene
Apache Lucene open-source search software
The Apache Lucene™ project develops open-source search software. The project releases a core search library, named Lucene™ core, as well as PyLucene, a Python binding for Lucene. Lucene Core is a Java library providing powerful indexing and search features, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities. The PyLucene sub-project provides Python bindings for Lucene Core. The Apache Software Foundation provides support for the Apache community of open-source software projects. The Apache projects are defined by collaborative consensus-based processes, an open, pragmatic software license and a desire to create high-quality software that leads the way in its field. Apache Lucene, Apache Solr, Apache PyLucene, Apache Open Relevance Project and their respective logos are trademarks of The Apache Software Foundation. -
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phpMorphy is morphological analyzer library written in pure PHP. Currently supports Russian, English and German languages.
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Katalog
Catalog and Search files from permanent or removable drives
Katalog is a desktop application to manage catalogs of disks and files: - Create catalogs from different sources or devices, - Search files even when the devices are disconnected, and find duplicates or differences - Organize your Collection of catalogs, Storage devices, and Virtual storage devices and get Statistics, - Data is stored in csv (tab separated) files for full control by the user, - Available in English, French, Czech, and German - OpenSource and cross-platform (Linux Plasma and Windows 64 installer or portable). First use / tips - Simply start with the Create screen. Create your first catalog and experiment! - All data/catalog files are stored in the Settings/Collection folder. Documentation/Wiki: https://stephanecouturier.github.io/Katalog/ Follow Katalog on Facebook: https://www.facebook.com/Katalog-107117844916308 Follow active development: https://github.com/users/StephaneCouturier/projects/7 -
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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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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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magnetW
Magnet link aggregation search
magnetW is based on the rule principle of magnetX , the search results of each magnetic station are uniformly formatted. There is no group in this project, only Github for code hosting and related technical exchanges, and other addresses may be risky, please distinguish carefully. This project is open source and free. There are no collection channels of any kind, such as donations, and no advertising of any kind. If you encounter anything similar to the above situation, please don't believe such advertisements. This application is open source and free, and is only used for crawler technology exchange and learning. The search results are all from the source site, and no responsibility is assumed. The project complies with GNU General Public License v3.0. Online playback is performed in conjunction with the webtorrent desktop version. It needs to be downloaded separately. After clicking the online play, it will jump to webtorrent to add tasks. -
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A small application for listing the contents(files/folders/extensions) of a folder. The results includes file name length/full path length/maximum extensions. It supports exporting a report in .txt/.csv format with fully customizable contents.
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FileLocator
Locate any file in your Windows system!
FileLocator is an Open source Windows application written in .Net 4 and its duty is to locate any file in your system!
Guide to Open Source Search Software
Open source search software is a type of software code that is freely available to the public for use and modification. Open source search software allows users to access, organize and retrieve information from various sources such as websites, databases, and text documents. This type of software uses technology from natural language processing or machine learning algorithms to provide relevant results to user queries. It also typically incorporates features like relevance ranking and automatic typo correction to produce better results in searches.
Open source search software is highly customizable since developers can modify the existing code or create their own plug-ins for specific applications. This makes it an ideal solution for organisations looking for enterprise level solutions with privacy protocols and logging capabilities. Additionally, open-source search engine solutions can be integrated into existing systems seamlessly, allowing users to continue working uninterrupted while their data remains secure.
Open source search engines are often used by businesses because they require minimal setup time due to the fact that much of it has already been developed by pre-existing communities of developers in many languages including Python, Java Script and more. They also have a low cost when compared to commercially available solutions which translate into increased savings that can be applied towards other areas of business operations. Best of all, these solutions are constantly being updated with new features as they become available so they remain up-to-date with the latest technologies in order to provide better results over time.
In conclusion, open source search engines offer extensive customizability along with cost efficiency and ease of integration without sacrificing security making them a great choice for businesses looking for powerful but affordable options for their information retrieval needs.
Open Source Search Software Features
- Search Query Input: Open source search software provides a simple interface for users to enter search queries and receive relevant results. Users can use keywords, phrases, or even natural language queries to narrow down the list of results.
- Indexing: Open source search software leverages indexing technology to create an organized catalog of unstructured data sets, helping the search engine quickly find relevant documents. This index typically contains information on the text content, meta-data, structure, and relationships between documents in a database.
- Filtering: Filtering capabilities allow users to customize their searches and narrow down the results by limiting them based on criteria such as location, date/time range, tags or keywords associated with the search.
- Autocomplete Functionality: Autocompletion helps speed up searches by suggesting user queries that may be related to what they’re typing as they type it in. This feature typically utilizes machine learning techniques to increase accuracy over time based on user interactions with the system.
- Faceted Searching: Faceted searching enables users to filter their searches according to multiple attributes simultaneously while also providing drill-down options that allow them to uncover more specific terms within a certain category or context.
- Spell Checking & Natural Language Support:Spell checking is used by open source search solutions in order to suggest corrections for misspelled words or incorrect grammatical constructions when users submit a query. Additionally, some open source tools are built with natural language processing capabilities which enable them to understand complex sentences and provide accurate results accordingly.
- Multi-lingual Capabilities: Open source solutions typically come with multi-lingual capabilities which allows them to support queries from different languages so that users all around the world can use it conveniently regardless of regional differences in language syntax or semantics
What Are the Different Types of Open Source Search Software?
- Lucene-based Search Software: This type of open source search software is often used for full-text search and indexing. It allows users to perform complex searches quickly and accurately.
- Enterprise Search Engines: These are designed to provide efficient access to distributed data that may be stored in various formats, such as databases, text files, websites and other locations. They also allow users to search across multiple sources from a single interface.
- Federated/Distributed Search Platforms: This type of software is designed for horizontally scaling the search capabilities across multiple nodes or servers. It provides an integrated platform with query operations distributed among several servers.
- NoSQL Search Platforms: This type of open source software can be used for searching data stored in non-relational databases, such as MongoDB or Cassandra. It is often used when scalability and performance are key considerations in building a search application.
- Natural Language Processing (NLP) Tools: These enable searching by natural language queries rather than just keywords or phrases entered by the user. NLP tools help break down a query into its component parts so that relevant results can be returned more accurately and quickly than with traditional keyword searches alone.
Benefits of Open Source Search Software
- Flexibility: Open source search software allows users to customize the features and functions of the platform according to their needs, allowing for greater flexibility. This includes customizing the interface, creating detailed analytics reports, connecting with external data sources, or integrating with other applications.
- Cost Savings: Open source search software is often free or cost significantly less than proprietary alternatives. This can make it a great option for companies that are just getting started or have limited budgets.
- Scalability: Open source search software is highly scalable and can be extended easily to accommodate large data sets or complex queries without needing specialized hardware or additional licenses.
- Security: Many open source projects employ rigorous security measures like frequent code reviews and a commitment to following best practices when developing new features. Plus, they’re regularly updated with more secure versions of existing components as they become available.
- Data Portability: With open source search software, users own all their data and can export it whenever they want in its original format (unlike proprietary solutions). This means that users are not locked into any specific vendor if their project needs change over time.
- Community Support: Much of the success of open source search software lies in its ability to leverage communities of contributors who are dedicated to constantly improving functionality while also resolving issues quickly when they arise. These contributors come from all backgrounds and span across industries—allowing users access to valuable insights from multiple perspectives.
Types of Users That Use Open Source Search Software
- Individual Users: These are people who wish to install search software on their personal computers or phones, using it as a tool to locate information online.
- Businesses: Companies employ open source search software as an efficient way for employees to quickly and easily access the information they need for their work tasks.
- Government Agencies: Open source search software is used by government agencies in order to evaluate and analyze data from various sources. It can also be used to track trends within specific areas of interest.
- Educational Institutions: Schools, colleges, and universities use open source search software to facilitate research-based activities among students and faculty alike.
- Non-Profit Organizations: Non-profit organizations take advantage of open source search tools in order to locate resources that could help with projects or initiatives outside of their organizational budget limitations.
- Developers & Webmasters: Programmers, developers, system administrators, and webmasters make use of open source search machines in order to properly maintain websites which require frequent updates and modifications. They may also utilize such tools when building new sites from scratch or tweaking existing ones.
How Much Does Open Source Search Software Cost?
Open source search software is typically provided for free, as the underlying code is made available to anyone who wants to use it. This often means that the development costs associated with creating and maintaining the software are borne by a community of users instead of an individual or corporation. However, some open source search providers may offer a subscription-based or pay-as-you-go service which includes additional features such as enhanced security, more storage space, technical support, etc. Additionally, many companies also provide consulting services where they can customize and configure the open source search software to meet specific business requirements. As pricing varies significantly depending on the type and scope of services provided by each company or provider, it is best to contact them directly for detailed information before making a decision.
What Software Does Open Source Search Software Integrate With?
Open source search software can be integrated with several different types of software. For example, it can integrate with content management systems, helping to index and store large amount of information in an organized manner. It can also be used as a web platform to create applications like forums or blogs that easily allow users to search through the content posted on the website. Finally, open source search software is often used alongside data visualization tools such as Big Data analysis platforms, allowing users to quickly analyze large datasets and spot patterns more easily.
Recent Trends Related to Open Source Search Software
- Increased Use: Open source search software has become increasingly popular for organizations looking to add powerful search capabilities to their websites and applications. This is likely due to the flexibility, cost-effectiveness, and scalability that open source solutions provide.
- Greater Availability: The availability of open source search software has grown significantly over the years, with many companies providing advanced products for a wide range of purposes. This has enabled organizations to find the right solution for their specific needs without having to invest in pricey proprietary solutions.
- Improved Usability: Open source search software has become much easier to use and configure, allowing organizations to quickly and easily create their own powerful search solutions. Additionally, many open source solutions are now mobile-friendly, enabling users to search on any device.
- Expanded Applications: Open source search software can now be used for a variety of applications including web-based portals, document management systems, and more. This has opened up new possibilities for organizations looking to add powerful search capabilities to their existing systems.
- Advanced Features: Many open source search solutions now offer advanced features such as faceted search, relevance tuning, and automatic query expansion. This allows organizations to create highly customized and effective search experiences that meet their specific needs.
How Users Can Get Started With Open Source Search Software
Getting started with open source search software is fairly easy. First, the user needs to decide what type of open source search software they want to use. Open source search software comes in many forms, such as full-text search engines, query language-based applications, and more specialized tools. Once the user has decided on a particular type of software, they should locate sources for downloading it. These may include official websites for the product vendors or online portals that provide access to numerous varieties of open source search software.
The next step is to install the chosen application on either a Windows computer or Mac OS X machine. This usually entails unzipping or extracting the compressed folder containing all of the necessary files and running an installation program from this bundle. After installing the application, users should then familiarize themselves with its usage by reading any included documentation and tutorials available online.
Once comfortable with using the new software, users can begin thinking about how best to implement it in their environment by considering questions such as which databases need indexing and what kind of content needs searching. They will also need to consider proper configurations such as specifying document lengths that can be indexed, defining criteria for relevance scores associated with each query response etc. After establishing these considerations and inputs correctly into their system setup users can now begin indexing their databases so that their open source search engine knows what content needs searching over when queries are submitted later on by end users who will actually be using this system while looking for documents within those databases stored previously during indexing stage . Typically once fully set up most open source search systems require minimal maintenance except periodic reindexing if any changes have occurred in any database contents since last time indexes were performed. With everything properly configured, users should now be ready to start using open source search applications.