Libraries tagged by youcan

# 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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With this extension you can configure a background color for each order status in Magento 2, and when you access the sales order grid the background of each order will be filled by the configured background color.

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Add support for vite manifest inside wp so you can load assets from generated vite manifest and have HMR enabled.

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With this Plugin, you have now an option to load more entries (using ajax). You can refine the content that you want to load by using Filters based on Fields and custom entry query.

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Verdict-as-a-Service (VaaS) is a service that provides a platform for scanning files for malware and other threats. It allows easy integration in your application. With a few lines of code, you can start scanning files for malware.

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Adding some REST capabilities to Silex, so you can more easily build RESTful APIs. 110% Buzzword-Driven.

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This is yet another laravel livewire table and come as is. You can filter, you can sort, you can bulk, toggle columns, the basics. The data input is a collection/array, we cant handle models.

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Dynamsoft Barcode Reader JS is a recognition SDK which enables you to embed barcode reading functionality in your web, desktop, and mobile applications. With a few lines of JavaScript code, you can develop a robust application to scan a linear barcode, QR Code, DaraMatrix, PDF417, and Aztec Code.

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OneSignal server API for PHP, you can push notifications to any platform. (iOS/APNS, Android/GCM/FCM, WP, Web/Chrome/Safari...etc.) No third-party dependency that you can use this library in any project or framework.

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Using Kirby Chunky, you can easily bypass the upload limits of your server or proxy and provide fast, secure, and resumable uploads using the tus protocol.

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Maintains a history of balance movements in the eloquent models. This simple package will keep track of the balance of your models. You can increase, decrease, reset and set the balance. It is also possible to check if a model has a positive balance or no balance.

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This is the Kaufland.de Seller API v2. You can find more information on [https://sellerapi.kaufland.com/](https://sellerapi.kaufland.com/)

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This is the Allegro.pl API. You can find more information on https://developer.allegro.pl/about

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PHP validation library. You can use it to validate almost anything, e.g. form posts, function parameters, etc.

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Add a Laravel relationship where you can specify a set ID, instead of a dynamic relationship

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