Libraries tagged by Card Management

Accept.js tokenization (PCI SAQ A-EP) with direct card fields (no iframe) Accept Hosted (PCI SAQ A) supported as an alternative hosted flow Apple Pay: server-side merchant validation, cert management via env.php, domain verification support Google Pay: native sheet UX + automatic gateway ID detection PayPal: processed through Authorize.Net’s wallet integration Saved Cards: Authorize.Net Customer Profiles + opt-in save checkbox + saved card dropdown Webhooks: signed (HMAC-SHA512) endpoint + order history updates + event mapping for refunds/voids/chargebacks Security: encrypted API keys at rest, certs stored outside webroot, SSRF hardening, session transaction validation Modern stack: no Knockout dependencies, REST compatible, modular architecture

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

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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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Shopper cart management with pipeline-based calculation

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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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Multi-location inventory and warehouse management system for Laravel with allocation strategies, cart integration, and movement tracking

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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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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. This extension automatically adds a consent-overlay to embedded YouTube- and Vimeo-Videos. It also comes with a ready-to-use integration for Google Analytics / Google Tag Manager and etracker.

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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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Panth MagePos — a full point of sale (POS) for Magento 2. Standalone touch-friendly terminal with cashier authentication and PIN lock, register sessions with cash management and X/Z reports, barcode scanning, quick keys, multi-cart hold/retrieve, discounts with per-role caps, custom sale lines, split payments (cash, offline and online methods), 80mm receipts, refunds, offline mode with order sync, and a drag-and-drop layout editor.

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Shopping cart management bundle for e-commerce systems

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A Plugin to save and fetch carts in Sylius.

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