Libraries tagged by delta

This package introduces new eloquent events for sync(), attach(), detach() or updateExistingPivot() methods on BelongsToMany relation.

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Laravel Parking Hub package provides a standardized interface for interacting with various parking service APIs within a Laravel application. It defines Data Transfer Objects (DTOs) to ensure consistent data structures for parking validation responses, including status, validity, and expiration details.

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A more detailed mattermost logger for Laravel applications

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This extension will help you to quickly password protected TYPO3 pages without frontend users management, Check manual for more details. Live-Demo: https://demo.t3terminal.com/t3t-extensions/general-utility/protect-site?inavlid=1&type=88889 You can download PRO version for more-features & free-support at https://t3terminal.com/password-protect-site-typo3-plugin/

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The extension offers various customization options for job listing, detail, and application pages on the frontend. Additionally, a scheduler ensures data synchronization. Directly list, view, and apply to Personio vacancies through the TYPO3 Backend.

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TYPO3 Guestbook Extension easily integrates all the features of a guestbook, including a review form with email sending functionality. This TYPO3 guestbook plugin also includes spam protection and numerous customization options. Guests can share their reviews, ratings, and contact details, as well as personal experiences, through this Guestbook TYPO3 Extension.

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A tiny extension that reports validation error details about uploaded files

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Magento 2 Order Information Extension helps to Empower your Magento 2 store with the ability to provide comprehensive order details right on the order success page. Our Magento 2 Order Information Extension enhances the post-purchase experience by displaying crucial order information, streamlining the process for both merchants and customers.

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This bundles displays an icon, which shows whether an file is used anywhere or not and shows details on where it is used if you click on it.

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The Kunstmaan Cookie Bundle provides a cookie bar; detailed pop-up window and a similar page explaining each type of cookie used on the website.

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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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Delay RabbitMQ messages by a set amount, or re-queue them a limited amount of time.

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Rinvex Countries is a simple and lightweight package for retrieving country details with flexibility. A whole bunch of data including name, demonym, capital, iso codes, dialling codes, geo data, currencies, flags, emoji, and other attributes for all 250 countries worldwide at your fingertips.

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收货地址智能解析工具，支持从非结构化文本中提取姓名、手机号、身份证号、省市区、详细地址等字段，适用于电商、物流、CRM 等系统 | An intelligent address parser that extracts name, phone number, ID number, region, and detailed address from unstructured text—perfect for e-commerce, logistics, and CRM systems.

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Google Map field, Google Place Autocomplete field for Silverstripe to retrieve Latitude, Longitude, Zoom, Address details such as Street name, Region, Country and more

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