Libraries tagged by supportbee

Generates an image based on a list of supported credit card types

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The payments API is used to create a session to offer Klarna's payment methods as part of your checkout. As soon as the purchase is completed the order should be read and handled using the [`Order Management API`](https://docs.klarna.com/api/ordermanagement). **Note:** Examples provided in this section includes full payloads, including all supported fields , required and optionals. In order to implement a best in class request we recommend you don't include customer details when initiating a payment session. Refer to [Initiate a payment](https://docs.klarna.com/klarna-payments/integrate-with-klarna-payments/step-1-initiate-a-payment/) section for further details. Read more on [Klarna payments](https://docs.klarna.com/klarna-payments/).

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This extension provides option to translate content element, and TCA record texts to DeepL supported languages using DeepL API services.

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Simple SMS Gateway Package for sending short text messages. Currently Bulksms, Clickatell, Gupshup, Infobip, Itexmo, Mocker, MVaayoo, Nexmo, SmsAchariya, Smsapi, SmsCountry, SmsLane, twilio and Any HTTP/s based Gateways are supported with Custom Gateway. Default Log gateway can be used for testing.

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A Twitter supported and maintained Ads API SDK for PHP

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Add Microsoft SQL Server for Drush by adding sql:cli/query/create/etc commands. Dump and sync are not supported. Please use Microsoft SQL Management Studio to generate DB scripts instead.

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Oauth2 client for zf2. Facebook, github and google is supported.

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Pb_social enables you to get posts from social media networks into your TYPO3 system. Currently supported social media networks are: Facebook, Imgur, Instagram, LinkedIn, Pinterest, Tumblr, Twitter, YouTube, Vimeo and TYPO3 Extension tx_news

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Creates a WebM file for every configured (and supported) video format. Either via Symfony command or hook. (TYPO3 CMS)

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Community supported library for Drip.com's API

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This package will get the full address information based on the zipcode and house number. Currently online dutch addresses are supported.

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This repository offers a PHP-based solution for declension of nouns by grammatical cases along with numerals. It ensures correct noun forms based on case (nominative, genitive, etc.) and the numeral used, handling the specific rules of declension in supported languages.

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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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Yii2 Queue Extension which supported DB, Redis, RabbitMQ, Beanstalk, SQS and Gearman

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IPIP.net officially supported IP database ipdb format parsing library

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