Libraries tagged by kind

General-issue library that enables building any kind of WebDriver binary downloader

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General-issue library that enables building any kind of WebDriver binary downloader

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A Laravel 5 Package for providing all kinds of quotes, from business to success to life to inspiring to DJKHALED Quotes

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Create a TAN/TOTP for usage in any kind of two-factor-scenarios

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FPDF is a PHP class which allows to generate PDF files with pure PHP. F from FPDF stands for Free: you may use it for any kind of usage and modify it to suit your needs.

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Denormalizer and validator for any kind of user input.

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Flexible importer for all kinds of files!

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The swiss army knife for all kinds of mail forms.

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A Laravel MCP server that lets an AI agent build fancy-flow workflows headlessly — list node kinds, add/connect/configure nodes, validate, export the WorkflowSchema, and run — as a thin, deterministic wrapper over particle-academy/fancy-flow-php.

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This package provides a generic processor chain to process a given object with processors/task (kind of a pipline, command chain pattern).

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A package for creating generic forms that allows you to create all kinds of forms in your application in code.

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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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Seite beim Neuerstellen direkt veröffentlichen; beim Kopieren von Seiten oder Artikeln nicht (Kopie) an den Namen hängen; Artikel beim Neuerstellen direkt veröffentlichen; Nachricht beim Neuerstellen direkt veröffentlichen; Event beim Neuerstellen direkt veröffentlichen; gefilterten Seitenbaum hervorheben; durchsuchten Seitenbaum hervorheben; CSS Eingabefeld vergrößern; Nachrichten mit allen Details, wie bspw. Datum, Veröffentlichungsstatus usw., kopieren; Events mit allen Details, wie bspw. Datum, Veröffentlichungsstatus usw., kopieren; Vorname, Nachname und Land in den Mitgliederdaten nicht verpflichtent; HTML in Formularfeldern erlauben; in einer leeren sortierbaren Liste (z. B. erstes Inhaltselement eines Artikels) das erste Element automatisch einfügen; per Klick auf die Artikel-Zeile die Inhaltselemente öffnen; per Klick auf den Elementgruppen-Kopf die Kindelemente öffnen; beim Anlegen von Seiten keinen Artikel automatisch erzeugen; per Klick auf den Inhaltselement-Kopf das Element bearbeiten; per Klick auf eine Seiten-Zeile die Seiteneinstellungen öffnen; Frontend-Beschriftungen (Weiterlesen, Pagination) pro Seitenlayout je Deutsch/Englisch

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Contains a list and a reader module in a generic flavor. The modules can display and process all kinds of contao entities containing filtering, pagination, modal handling, ...

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The main goal of this plugin is to give you the ability to create and associatie any kind of media with your content. This system use behaviour to associate medias with your content and a helper to manage the UI.

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