Libraries tagged by developersnl

Lithe is a flexible and efficient PHP framework for creating robust web applications that adapt to developers' needs.

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This document describes the Plugin API for Lilt's Connector platform. The Plugin API is intented to be used by developers who wish to build integrations into their desired systems. The purpose of this API is to enable content transfer and status monitoring for localization projects. - Read more about the concepts and workflows in the [user guide](/docs/api/v1.0). - Test the API interactively via [Swagger UI](/api/v1.0/ui).

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OneSignal SDK for PHP developers with fluent API and supports Laravel / Lumen out of the box.

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FPDI is a collection of PHP classes facilitating developers to read pages from existing PDF documents and use them as templates in FPDF. Because it is also possible to use FPDI with TCPDF, there are no fixed dependencies defined. Please see suggestions for packages which evaluates the dependencies automatically.

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A php micro-framework for web developers.

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A UI and UX framework providing a number of features, utiilities and helpers for Drupal developers and site builders.

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Enables Instagram Basic Display API for developers.

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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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CRUD Structure for backed developers!

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HD Development - enable FE developers to work inside TYPO3 without special knowledge

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Helper library that allows developers to choose which fields from Carbon Fields to include in the Yoast readability score meter

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The Social-share PHP package is a versatile and easy-to-use library designed to simplify the integration of social media sharing functionality into PHP applications. With this package, developers can effortlessly generate share links for various social media platforms and customize the associated styles.

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Comprehensive boilerplate designed specifically for backend developers who need to quickly scaffold RESTful APIs.

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WordPress modern stack for developers

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The ultimate module for PrestaShop 1.7 developers

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