Libraries tagged by agility

Provides the ability to declare "properties" to enums using PHP Attributes, also to define classes for specific case functionalities and much more.

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Provides indexing ability for other Klevu modules to extend

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CloudABIS™ can compare millions of ISO fingerprint templates/sec for fast 1:N matching & de-duplication requirements. Customers simply connect through our API or CloudApper™ software & instantly have the ability to perform fast 1:N matching. Our software supports many fingerprint readers & device activation is seamless with our CloudScanr™ app. CloudScanr™ also enables the biometric system to instantly work across any web browser.

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This package provides ability to test your database driven applications. Model factories make it easier to create test database records using Prestashop models.

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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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Ability to generate widgets with interface similar to controller with basic CRUD actions for specific model

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Symfony bundle to integrate Stripe PHP SDK. Ability to save Stripe objects in database using Doctrine.

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Provides single-sign-on ability to Microsoft Azure Active Directory enabled apps. This package is updated to work with Laravel 8, as the forked package had depency issues with guzzle.

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A Laravel Nova textarea field with the ability to choose a text from templates.

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PHP SDK to be used with First Data IPG API v21.5.0. This SDK has been created and packaged to offer the easiest way to integrate your application into the First Data Gateway. This SDK gives you the ability to run transactions such as sales, preauthorizations, postauthorizations, credits, voids, and returns; transaction inquiries; setting up scheduled payments and much more.

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The RobotsTxtBundle adds the ability to generate robots.txt file to your application.

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RowGroup adds the ability to easily group rows in a DataTable by a given data point. The grouping is shown as an inserted row either before or after the group. This is RowGroup for DataTables

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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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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

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FixedColumns provides the ability to fix one or more columns to the left and / or right hand side of a DataTable that scrolls along the x-axis. This can be used if the columns show grouping, index or similar information. This is FixedColumns for DataTables

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