Libraries tagged by API Response Class

The Fignon blade Engine is a simple class which serve as bridge between the Laravel blade template engine and Fignon Framework

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This is a PHP library/wrapper of the NERD API. High level method calls that parse the JSON API response to PHP classes for ease of use.

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Create structured APIs and classified responses that can know by modern IDEs

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Helper class to response proper API format

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Helper class to response proper API format

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The MamoPay PHP library provides convenient access to the MamoPay API from applications written in the PHP language. It includes a pre-defined set of classes for API resources that initialize themselves dynamically from API responses which makes it compatible with a wide range of versions of the MamoPay API.

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A data factory helper class for mocking data. This is inspired by Laravel's model factories, the difference being that data factories are not tied to a model. Data factories are great for mocking api responses, requests or other data not persisted to a database. Data Factories are not dependant on Laravel, so you can use this package anywhere.

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Implementation of Google ReCaptcha API version 2. It is intended to wrap the new Google ReCaptcha API into a simple class that provides ways to get the "No Captcha Widget" and easily validate the browser response.

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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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Since 2008, MobileESP provides web site developers an easy-to-use and lightweight API for detecting whether visitors are using a mobile device, and if so, what kind. The APIs provide simple boolean results ('true' or 'false') for identifying individual device categories (such as iPhone, BlackBerry, Android, and Windows Mobile), device capabilities (e.g., J2ME), and broad classes of devices, such as 'iPhone Tier' (iPhone/Android/Tizen) or 'Tablet Tier.' APIs are available in PHP, JavaScript, Java, C#, Ruby Python, and more.

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Test helper class that validates any kind of output based on the rules passed. Useful to test API reponses or data that changes over time.

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