Libraries tagged by user sessions

Solution to use the facebook api with Laravel 4 session, instead of the php native session

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Use short class names in an Artisan tinker session

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Use short class names in an Artisan tinker session -> Supports php 5

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Alert is a package to be used with Laravel 4 API messages where you aren't passing a session through

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A simple session based cart for Laravel 5 intended for use with an existing Product model

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Craft User Manual allows developers (or even content editors) to provide CMS documentation using Craft's built-in sections (singles, channels, or structures) to create a `User Manual` or `Help` section directly in the control panel.

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Adds an element count to sections, categories, user groups and asset folders in the Craft control panel

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Give yourself better control over your sections with Craft Field and Tab (FAB) Permissions. Restrict which tabs and fields are visible to different user groups.

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Allow single language pages/site/users in a multi language setup, hide buttons in topbar and sections.

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Allows content administrators to protect pages and sections with user authentication

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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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Craft User Manual allows developers (or even content editors) to provide CMS documentation using Craft's built-in sections (singles, channels, or structures) to create a `User Manual` or `Help` section directly in the control panel.

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ACL is a lightweight role-based permissions module for Antares. It is designed to manage user access to resources located in different sections of the application. It sets up permissions based on module rules. It provides NIST Level 2 Hierarchical Role Based Access Control (RBAC). It also provides an interface for administator to manage user roles (ACL configuration).

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Hyva Customer Profile by MageINIC, Customer Profile extension empowers users to personalize their profiles by adding, updating, and deleting avatars. This enhances the overall user experience and personalization on your store by displaying avatars in key sections such as the website header and reviews, creating a more engaging and credible environment for users.

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Customer Profile by MageINIC, Customer Profile extension empowers users to personalize their profiles by adding, updating, and deleting avatars. This enhances the overall user experience and personalization on your store by displaying avatars in key sections such as the website header and reviews, creating a more engaging and credible environment for users.

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