Libraries tagged by displayer

A composer plugin to make installing wpml.org plugins with composer easy. Your subscription info will be read from environment variables, will only be transmitted to WPML and will not be displayed in composer.lock.

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Send notifications across a variety of delivery channels, including mail and Slack. Notifications may also be stored in a database so they may be displayed in your web interface.

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Formats Monolog's log lines to make them colorful when displayed in HTML.

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Send notifications across a variety of delivery channels, including mail and Slack. Notifications may also be stored in a database so they may be displayed in your web interface.

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ZFDebug is a plugin for the Zend Framework for PHP5, providing useful debug information displayed in a small bar at the bottom of every page.

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A glossary extension for the Contao Open Source CMS. Glossaries are organized in archives similar to news and events and can be displayed via a list and reader module.

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Use this package to display info/warning/error messages to the user on a web page. Using the SessionMessageService class, you register messages to be displayed. Using the MessageWidget class, you display the error messages in your templates.

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Like the wire confirm directive but displayed as modal on your page.

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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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Allows reference filter to be displayed as dropdowns.

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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 is a magento2 extension to manage Shopping Cart from the admin. An admin user can log into magento admin to see shopping cart details. Each Cart will be displayed and can be searched by user or date range or amount.

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Ves Image Slider Fully responsive magento 2 slider extension Support editor for inserting image, video text. Magento 2 Slider Extension supports OWL Carousel Image slider can be displayed anywhere in your store with CMS & Widget Tons of Animation with Live Preview Support 10 sliders Easy-to-use & intuitive interface

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SilverStripe Fix JPEG Orientation Module. Ensures that JPEG images uploaded from a mobile are rotated and saved upright according their orientation value for consistent viewing when displayed on a web page.

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Export ALL fields from ModelAdmin rather than just the displayed fields.

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