Libraries tagged by Searcher

Medlib is a searche Library

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Medlib is a searche Library

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Medlib is a searche Library

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Parses URL to provide for dynamic property searches.

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This library searches for courses from alura.com.br

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SearchEngineCrawler Dump the data from the search engines

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Prevent SearchWP from logging searches when logged in eg. in the admin area

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Laravel scout database driver using mysql match against queries for searches.

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Laravel Eloquent Searchable is a lightweight package that provides dynamic and flexible search functionality for your Eloquent models. Simply define searchable fields and perform quick searches across your data.

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Searches a string for values similar to price and returns an array of those

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Database SearchCriterias interfaces and base classes written in PHP.

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Database SearchCriterias implementation for Laravel Eloquent.

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The Fuzzy Search package provides a simple and efficient way to perform fuzzy searches on a collection of texts using the Levenshtein distance algorithm. This package is useful when you need to search for texts that may contain typos or slight variations.

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Searches the call trace when running your unit tests. Useful for identifying dependencies that should be mocked.

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Search Package OverviewThe Search package is a powerful tool designed to facilitate efficient and effective search operations within various datasets or databases. It provides a set of functions and classes that enable users to perform complex search queries, filter results, and retrieve relevant data with ease. The package is highly customizable, allowing users to define their own search criteria, implement sorting mechanisms, and handle large volumes of data seamlessly.Key Features: Customizable Search Queries: Users can create tailored search queries using various operators and conditions, making it possible to perform both simple and advanced searches. Sorting and Filtering: The package includes built-in methods to sort and filter search results, enabling users to organize data based on specific parameters such as date, relevance, or custom fields. Scalability: Designed to handle large datasets, the Search package is optimized for performance, ensuring quick response times even with millions of records. Integration: The package is compatible with a variety of databases and data sources, making it a versatile solution for different types of projects. User-Friendly Interface: It offers a straightforward API that is easy to use, even for those who are not experts in programming. This allows a broader audience to leverage the power of advanced search capabilities.Use Cases: Data Analysis: Quickly find and retrieve specific information from large datasets for analysis. Content Management Systems: Implement efficient search functionality in content-heavy websites or applications. E-commerce: Enhance product search features in online stores, improving the user experience by providing relevant results swiftly. Knowledge Bases: Help users find relevant articles or documentation based on keyword searches.Overall, the Search package is an essential tool for anyone needing to implement or enhance search functionality in their applications, providing both power and flexibility in managing and retrieving data.

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