Libraries tagged by title

A simple MediaWiki extension to give you control over the HTML title and meta tags via a tag or parser function.

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A Laravel 5 composer package that assigns section names & titles to pages, simplifies creation of breadcrumb trails, pagination, and other components.

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This Composer package provides a seamless integration for testing SEO aspects of your Laravel applications. Compatible with both Pest and PHPUnit, it offers a collection of tools and assertions specifically designed to evaluate on-page SEO elements like meta tags, title tags, canonical URLs, and structured data. By automating SEO testing, this plugin ensures that your application consistently adheres to best SEO practices, helping you catch potential SEO issues early in the development cycle.

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Extends Core's Redirects Module with a Title column, showing creation and modification date and more sorting and filtering options. Also add an import redirects functionality.

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Implements a simple block with a body and title that will be used to display modal windows. by OpenY community

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A configurable input field that returns a node property, for example the title.

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Neos CMS package that keep page titles and URLs in sync by updating the URL every time the title changes

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The Filament Check Whois Widget is a package for the Filament PHP framework that allows you to easily check the WHOIS information for domains. It integrates seamlessly with Filament's AdminPanel, providing a clean and user-friendly interface. The widget fetches WHOIS data using an external API (requiring an API key), displaying key details like registrant information, registration date, and expiry date. Configuration options allow for customization of the widget's appearance and behavior, such as setting the number of domains displayed per row, the column span, and whether to show a title. This simplifies the process of obtaining crucial domain information within your Filament application.

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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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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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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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Display a quote with head shot, name and title.

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A block that displays featured content - large image, title, description and link.

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Getting title and meta tags from external website using curl and DOM

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