Libraries tagged by tower

This package adds some power to your api rest server by allowing you to specify joins and eager loaded associations using http query parameters

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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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The EasyLibrary is a powerful plugin for PocketMine-MP that serves as a collection of various public libraries, providing a wide range of functionalities and utilities for plugin developers. This plugin simplifies the integration and use of popular libraries, allowing developers to save time and effort when creating their own plugins.

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Simple, extensible and powerful enumeration implementation for Hyperf.

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Disable bower-asset for Yii2

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Eloquent filter for laravel models, easy and powerful

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This Module Whitelist CSP for Magento 2.3.5 or Above. HK2 CSP Whitelist some of the major url like Cloudflare, Google Analytics, Fontawesome, Addthis, Googleapis, Facebook Graph, Pinterest, Vimeo, Twitter. One can disable Magento 2 CSP. However, Disabling results in more possibilities of attacks on the Magento store. (CSP) are a powerful tool to mitigate against Cross Site Scripting (XSS) and related attacks.

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Yii2 asset for bower flag-icon-css

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Fork of Powerpack for use with composer

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A powerful ajax-enabled grid widget for Yii2

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Hexters/Auth is a powerful starter kit package for Laravel that simplifies the implementation of basic authentication features and supports the creation of multiple authentication setups. Utilizing Livewire for dynamic interfaces and Volt for a modern admin panel, Hexters/Auth combines simplicity and efficiency with Blade and Tailwind CSS to deliver a seamless authentication experience.

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Implementation of PSR-11 Container, it is lightweight yet powerful. Feature such as Lazy Factory, Factory, Optinal Share of Services, Array Access and other it can be very versatile.

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The powerful Drupal distribution for local government.

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Like get_template_part(), but AJAX powered.

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Very powerful query builder, perfect for apis

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