Libraries tagged by introducer

Omnipay plugin for https://developer.mobilexpress.com.tr/docs/introduction

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Implements the Akamai {OPEN} EdgeGrid Authentication specified by https://developer.akamai.com/introduction/Client_Auth.html

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This is a SDK built in PHP for consuming Affirm API as detailed in https://docs.affirm.com/developers/reference/introduction

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Introducing a Laravel-Firebase Package | A comprehensive solution seamlessly integrating Laravel's robust framework with Firebase's powerful features. This package provides developers with: Authentication: Effortless user sign-up and login processes, ensuring security and ease of use.

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An introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.

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Tries to make Silverstripe development a bit simpler by naively re-introducting some 'common sense'/old-fashioned/SS3 basics like global Bootstrap & jQuery and a modal

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PHP Client for Zendesk REST API. See https://developer.zendesk.com/rest_api/docs/core/introduction .

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Allows adding a content element at the beginning (introductory text) and/or at the end (email signature) of the email templates. Also, the background color and logo of the fluid email template can be edited.

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Media Processing Plugin for Winter CMS, replacing resize and introducing advanced image filter capabilities based on the Intervention library.

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The Service that facilitates integration with PrimeVue tables by introducing easy pagination, filtering and sorting.

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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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The SearchPanes extension for DataTables provides improved Searching functionality allowing users to select options from a Pane which will then in turn search the DataTable and return the relevant results. There are multiple configuration options available to enhance SearchPanes. This is SearchPanes for DataTables with styling for [Bootstrap4](https://getbootstrap.com/docs/4.6/getting-started/introduction/)

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In the modern world of responsive web design tables can often cause a particular problem for designers due to their row based layout. Responsive is an extension for DataTables that resolves that problem by optimising the table's layout for different screen sizes through the dynamic insertion and removal of columns from the table. This is Responsive for DataTables with styling for [Bootstrap4](https://getbootstrap.com/docs/4.6/getting-started/introduction/)

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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 [Bootstrap4](https://getbootstrap.com/docs/4.6/getting-started/introduction/)

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The Buttons extension for DataTables provides a common set of options, API methods and styling to display buttons on a page that will interact with a DataTable. It also provides plug-ins for file export (HTML5 and Flash), print view and column visibility. Other libraries, such as Editor and Select also provide buttons specific to their use cases. This is Buttons for DataTables with styling for [Bootstrap4](https://getbootstrap.com/docs/4.6/getting-started/introduction/)

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