Libraries tagged by tithe

Faker Provider for Russian Shop - product titles, models, materials,units,sizes, categories, attributes, trademarks

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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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Die Erweiterung 'Seitenteaser' stellt Inhaltselemente bereit, die automatisch aus bestehenden Seiten Seitenteaser generieren. Hierfür wird auf das Seitenbild (terminal42/contao-pageimage) zurückgegriffen, falls vorhanden, ansonsten auf das erste verwendete Bild in der Seite verwendet. Außerdem wird der Seitentitel und die Seitenbeschreibung verwendet. Dies kann überschrieben werden, wenn in der Seite Extraeingaben für den Teaser Titel und die Teaserbeschreibung gemacht werden. Im Startpunkt der Webseite kann eingestellt werden, welche Bildgröße verwendet und, ob ein Text angezeigt werden soll.

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This Yii2 component helps to organize page title, meta tags and `og` and `twitter` open graph tags in with a fiew lines of code.

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Show different page and article information in Contao backend e.g. id, alias, title, layout and other more.

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Spotlight is a basic combination of images, titles, text, buttons and links to create flexible and versatile content blocks

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When displaying large amounts of data in a table, it can often be useful for the end user to have the column titles always visible. This is particularly true if using DataTables with pagination disabled, or the display length is set to a high value. The FixedHeader extension provides this ability. This is FixedHeader for DataTables with styling for [DataTables](https://datatables.net/)

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When displaying large amounts of data in a table, it can often be useful for the end user to have the column titles always visible. This is particularly true if using DataTables with pagination disabled, or the display length is set to a high value. The FixedHeader extension provides this ability. This is FixedHeader for DataTables with styling for [Bootstrap5](https://getbootstrap.com/)

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enables the generation of meta-title and meta-descriptions in the backend of Contao using ChatGPT from OpenAi

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Provides a console command that generates a changelog based on titles of pull requests merged between specified references.

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Provides a console command that generates a changelog based on titles of pull requests merged between specified references.

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Cortex Pages is a frontend layer for an integral part of your Laravel content management system (CMS), it affords an easy, yet powerful way to create and manage pages with full control over their URLs, active status, titles, content, and other attributes.

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Check if the title's page get an unsual chars and alert users

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Tether JSON-RPC Service Provider for Laravel

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A custom Backpack Field that lets you easily add custom headings and information boxes to split up the form.

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