Libraries tagged by conditional feature

AboutResource Query Responsibility Segregation (RQRS) is a caching framework for BEAR.Sunday that optimizes performance by separating query and command responsibilities. It features event-driven cache invalidation, dependency resolution, donut caching, CDN integration, and conditional requests.

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A PHP Feature Toggle library

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Simple feature toggle api for Laravel applications.

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Simple feature toggles package

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A comprehensive WordPress library for managing plugin links, action links, and row meta with advanced features

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Laravel API Response is a powerful and flexible package that provides a standardized way to structure API responses in Laravel applications. It offers a range of features to enhance your API development experience, including consistent response formatting, conditional responses, pagination support, rate limiting, and more.

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Run your Laravel feature tests in parallel without race conditions.

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"PHP code" discount condition feature

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A simple, flexible feature toggle system for Laravel — control the visibility of features across environments, users, and conditions.

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Symfony bundle to handle agreement management features general conditions

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Run your Laravel feature tests in parallel without race conditions.

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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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