Libraries tagged by http fields

# 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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Field Date based on https://vcalendar.io/

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Laravel Nova field for cropping images using the "Slim Image Cropper" (https://pqina.nl/slim/). This is an alternative to Doka (now Pintura) for those who want a less expensive cropping experience.

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Remove the error message shown for WYSIWYG fields when saving in Magento 2.4.3. See https://magento.stackexchange.com/questions/331918/cms-and-block-content-warning-magento-2-4-2

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Produce and apply json-patch objects. Forked from mikemccabe/json-patch-php (https://github.com/mikemccabe/json-patch-php). THIS FORK adds an `ensure` operation that sets a value at a given path, creating any missing intermediate structure (deep upsert semantics). Just set the damned field!

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Extends the base Carbon Fields with a ImageGallery field. Based on https://github.com/schrapel/carbon-fields-image-gallery

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A Laravel Nova field for Laracash (https://github.com/andriichuk/laracash)

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Create Gutenberg blocks from Sage blade templates and ACF fields. Fork of https://github.com/MWDelaney/sage-acf-wp-blocks

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An install helper for Advanced Custom Fields PRO. Forked from https://github.com/PhilippBaschke/acf-pro-installer

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Manage translatable fields with Phalcon models. Forked from https://github.com/ovide/translatable

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Adds option to add an image setting field with Voce_Settings_API. Deprecated Plugin - Please use https://github.com/voceconnect/voce-media-setting as a replacement for >= WP 3.5 compatibility

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Block spam request by checking on create post fields firstname and lastname against spam values like https and so on.

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Supplies a crossword extension, to create your own crossword on a homepage. This extension is very flexible. You can define crosswords of every size, answer fields with more then one letter and you can define answers in every posible direction. All you need is to create your own questions and answers and assign it with your crossword. In the frontend you can edit the crossword with javascript very user friendly. The communication with the backend is performed with ajax. See under https://www.schulze-thulin.de/en/games/welsh-crossword for an online example. This extension use jQuery 3.6 and Bootstrap 5.1

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A set of fields, including editable userform fields to perform domain validation via DNS over HTTPS

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FieldPalette is a contao widget like [MultiColumnWizard] (https://github.com/menatwork/MultiColumnWizard) with its own database table.

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