Libraries tagged by aim

# 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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Parsing and formatting dates can be difficult, especially if you deal with multilingual content. Date Methods aims to simplify date output by providing page and field methods to handle points in time as well as date ranges accurately in your snippets and templates.

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Resonance aims to make performing HTTP requests and getting responses extremely simple.

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eZ Publish extension that aims to avoid timeout problems and database corruption by moving long running processes from the GUI to the background.

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This package aims to deliver a good set of functions to easily escape URLs that will be used on HTML

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Polyfill Module for SplType PHP extension. This extension aims at helping people making PHP a stronger typed language and can be a good alternative to scalar type hinting. It provides different typehandling classes as such as integer, float, bool, enum and string

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PHP polyfill for the Apache Functions. The aim is to provides functions as the PHP way in order to get them available even if PHP is not running as an Apache module.

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PHP implementation of Handlebars templates aiming to match the JS interface.

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TYPO3 Shop by coding.ms: An extensive shop for TYPO3 for realizing Webshops, Online-Shops or Payment-Subscriptions, comparable with tt_products, Cart or Aimeos. It includes PayPal, PayPal-Checkout, Klarna, Stripe, Bookmarks, UPS-API, invoice generation, a backend module, compare feature, graduated prices, plus product variants, filters, and tax and shipping logic for practical shop operations.

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Postgis extensions for laravel. Aims to make it easy to work with geometries from laravel models

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Package aims to ease up the API calls to a listmonk API from PHP based application

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Tonik is a WordPress Starter Theme which aims to modernize, organize and enhance some aspects of WordPress theme development.

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Symfony is a complete framework designed to optimize the development of web applications by way of several key features. For starters, it separates a web application's business rules, server logic, and presentation views. It contains numerous tools and classes aimed at shortening the development time of a complex web application. Additionally, it automates common tasks so that the developer can focus entirely on the specifics of an application. The end result of these advantages means there is no need to reinvent the wheel every time a new web application is built!

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Zend Framework 1. The aim is to keep ZF1 working with the latest PHP versions

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PHPSA aims to bring complex static analysis for PHP applications and libraries.

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