Libraries tagged by user features

Mixpost's authentication feature

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Symfony SDK for FeaturIT

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Laravel package for generating user authentication feature using Laravel Sanctum

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Make a wizard to guide your users through the features of your site

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Selectively expose new features to a subset of your users.

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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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This extension will help you to quickly password protected TYPO3 pages without frontend users management, Check manual for more details. Live-Demo: https://demo.t3terminal.com/t3t-extensions/general-utility/protect-site?inavlid=1&type=88889 You can download PRO version for more-features & free-support at https://t3terminal.com/password-protect-site-typo3-plugin/

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This package contains a set of class to bind the Splash MVC framework (>=v4) with the RightsService component. It features: a @RequiresRight annotation to restrict access to logged users only.

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Typo3 SAML Single Sign-On (SSO) extension allows your users to login to your Typo3 site by authenticating with their SAML 2.0 IdP (Identity Providers). SAML Authentication extension for Typo3 extension allows SSO with Azure AD, Azure AD B2C, Keycloak, ADFS, Okta, Shibboleth, Salesforce, GSuite / Google Apps, Office 365, SimpleSAMLphp, OpenAM, Centrify, Ping, RSA, IBM, Oracle, OneLogin, Bitium, WSO2, NetIQ, ClassLink, FusionAuth, Absorb LMS and all SAML 2.0 capable Identity Providers into your Typo3 site. Typo3 SAML SSO extension by miniOrange provides features like Attribute Mapping, Group Mapping, and Role Mapping which helps to map user data from your IdP to Typo3. You can add an SSO Login Button on both your Typo3 frontend and backend (Admin Panel) login page with our extension.

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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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# 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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User registration and edit plugin, fully configurable, custom validators, autologin, double-opt-in, admin approval, IRRE configuration, resend activation mail, redirect features, support for saltedpasswords, support for salesforce. More to come!

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Laravel Firebase Notification is a robust and user-friendly package designed to integrate Firebase Cloud Messaging (FCM) with Laravel applications. This package streamlines the process of sending notifications to users through Firebase, supporting various notification targeting options and customization features.

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User feature.

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User web support for the app providing features such as login, registration, password reset, logout and more.

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