Libraries tagged by user features

LSX is a minimalistic WordPress theme that allows users to create fast, efficient and attractive websites that are feature-rich. The theme displays perfectly on all desktop and portable devices.

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This Laravel package seamlessly integrates Umami analytics into your Blade templates. Easily track website visits and user engagement directly within your Laravel application, providing valuable insights into your website's performance. This package simplifies the integration process, saving you time and effort. With minimal configuration, you can leverage Umami's powerful analytics features to gain a clearer understanding of your audience and website usage.

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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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A Zend Framework 2 module which extends the registration feature of ZfcUser with email address verification

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Feature Browser takes your Behat .feature files and turns them alchemy-like into an interactive user manual.

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A reusable Laravel 10+ package that lets you annotate any service method with a PHP attribute to collect custom telemetry (e.g. user counts, disk usage, feature flags) and automatically report it—at configurable intervals—to a central server over HTTP. Data is grouped per application host, is fully configurable via a published telemetry.php config (backed by your chosen cache), and integrates seamlessly with Laravel’s scheduler and HTTP client.

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A 'session & DB driver' for Laravel Pennant for feature flags pre and post user authentication.

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Chat feature for laravel

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AWS Cognito package that allows Auth and other related features using the AWS SDK for PHP

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Laravel package for generating user authentication feature using Laravel Sanctum

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User follow feature for laravel application.

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package to add edit users profile feature to auth scaffold

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Provides a form field type allowing users to draw features on a map, the features are stored as geoJSON objects in a single database field

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Effortlessly create beautiful, interactive data tables for your Laravel applications with this intuitive Livewire component. Built with Tailwind CSS and Alpine.js, it delivers a seamless developer experience while providing users with responsive, feature-rich tables that enhance any web application.

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This package provides session tracking functionalities, multisession management and user device management features for laravel applications.

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