Libraries tagged by Card Management

The Shell Card Management API is REST-based and employs OAUTH 2.0,Basic and ApiKey authentication. The API endpoints accept JSON-encoded request bodies, return JSON-encoded responses and use standard HTTP response codes.All resources are located in the Shell Card Platform. The Shell Card Platform is the overall platform that encompasses all the internal Shell systems used to manage resources. The internal workings of the platform are not important when interacting with the API. However, it is worth noting that the platform uses a microservice architecture to communicate with various backend systems and some API calls are processed asynchronously. All endpoints use the POST verb for retrieving, updating, creating and deleting resources in the Shell Card Platform. The endpoints that retrieve resources from the Shell Card Platform allow flexible search parameters in the API request body.

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CardFactory is a PHP library designed to simplify the creation and management of card decks for card games. It provides an organized and extensible structure with classes and enumerations for cards, suits, values, and decks, making it easy to build and manipulate card decks in a variety of game scenarios.

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Supplies data structures and management tools for supplying frontend tools with data

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Provides an ecommerce product catalog, shopping cart, and order management system

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In the realm of e-commerce, efficient cart management is paramount. Meet Cart — your ultimate solution for seamless shopping cart functionality in Laravel applications. Cart simplifies the complexities of shopping cart operations, from product additions to total calculations, ensuring a frictionless user experience.

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Cart Bundle

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Provides an ecommerce product catalog, shopping cart, and order management system

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WeCommerce is an eCommerce ecosystem designed for everyone to build and scale their business. It offers a wide range of functionalities that allows you to have full control of your store. It is combined with easy product information management and fast response time.

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# Introduction **INDA (INtelligent Data Analysis)** is an [Intervieweb](https://www.intervieweb.it/hrm/) AI solution provided as a RESTful API. The INDA pricing model is *credits-based*, which means that a certain number of credits is associated to each API request. Hence, users have to purchase a certain amount of credits (established according to their needs) which will be reduced at each API call. INDA accepts and processes a user's request only if their credits quota is grater than - or, at least, equal to - the number of credits required by that request. To obtain further details on the pricing, please visit our [site](https://inda.ai) or contact us. INDA HR embraces a wide range of functionalities to manage the main elements of a recruitment process: + [**candidate**](https://api.inda.ai/hr/docs/v2/#tag/Resume-Management) (hereafter also referred to as **resume** or **applicant**), or rather a person looking for a job; + [**job advertisement**](https://api.inda.ai/hr/docs/v2/#tag/JobAd-Management) (hereafter also referred to as **job ad**), which is a document that collects all the main information and details about a job vacancy; + [**application**](https://api.inda.ai/hr/docs/v2/#tag/Application-Management), that binds candidates to job ads; it is generated whenever a candidate applies for a job. Each of them has a specific set of methods that grants users the ability to create, read, update and delete the relative documents, plus some special features based on AI approaches (such as *document parsing* or *semantic search*). They can be explored in their respective sections. Data about the listed document types can be enriched by connecting them to other INDA supported entities, such as [**companies**](https://api.inda.ai/hr/docs/v2/#tag/Company-Management) and [**universities**](https://api.inda.ai/hr/docs/v2/#tag/Universities), so that recruiters may get a better and more detailed idea on the candidates' experiences and acquired skills. All the functionalities mentioned above are meant to help recruiters during the talent acquisition process, by exploiting the power of AI systems. Among the advantages a recruiter has by using this kind of systems, tackling the bias problem is surely one of the most relevant. Bias in recruitment is a serious issue that affect both recruiters and candidates, since it may cause wrong hiring decisions. As we care a lot about this problem, we are constantly working on reduce the bias in original data so that INDA results may be as fair as possible. As of now, in order to tackle the bias issue, INDA automatically ignores specific fields (such as name, gender, age and nationality) during the initial processing of each candidate data. Furthermore, we decided to let users collect data of various types, including personal or sensitive details, but we do not allow their usage if it is different from statistical purposes; our aim is to discourage recruiters from focusing on candidates' personal information, and to put their attention on the candidate's skills and abilities. We want to help recruiters to prevent any kind of bias while searching for the most valuable candidates they really need. The following documentation is addressed both to developers, in order to provide all technical details for INDA integration, and to managers, to guide them in the exploration of the implementation possibilities. The host of the API is [https://api.inda.ai/hr/v2/](https://api.inda.ai/hr/v2/). We recommend to check the API version and build (displayed near the documentation title). You can contact us at [email protected] in case of problems, suggestions, or particular needs. The search panel on the left can be used to navigate through the documentation and provides an overview of the API structure. On the right, you can find (*i*) the url of the method, (*ii*) an example of request body (if present), and (*iii*) an example of response for each response code. Finally, in the central section of each API method, you can find (*i*) a general description of the purpose of the method, (*ii*) details on parameters and request body schema (if present), and (*iii*) details on response schema, error models, and error codes.

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high quality php shopping Cart.

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Includes Klaro!-Consent-Manager into TYPO3. Completely file-based configuration for versioning without having to take care of database-entries.

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Simple package for product management

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The dynamic-language Laravel package simplifies localization management, making it effortless to handle missing keys in language files. It seamlessly generates language files for each newly added language, enhancing the efficiency of your localization efforts. Additionally, it takes care of configuring locale settings, ensuring smooth transitions between languages.

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A Plugin to save and fetch carts in Sylius.

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Shopping cart Management for Magento 2.

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