Libraries tagged by user profiles

This extension provides a fully automated workflow and a graphical user interface for the well known Localization Manager (l10nmgr). While the L10nmgr still handles exports and imports of records and files, the Localizer will take care of all the necessary steps in between. Editors responsible for translations won't have to deal with any L10nmgr configurations anymore and as an administrator you create just one configuration per Localizer Project.

Go to Download

This PHP class provides an unofficial API for the GIAE platform (Gestão Integrada para Administração Escolar), widely used on Portuguese public schools, on behalf of a given user.

Go to Download

# 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.

Go to Download

Object Storage Service (OBS) provides massive, secure, highly reliable, and low-cost data storage capabilities, allowing users to store data of any type and size. It is suitable for various data storage scenarios such as enterprise backup/archiving, video on demand, and video surveillance.

Go to Download

Provides a customized admin toolbar for menus accessible to specific user roles.

Go to Download

RowReorder adds end user reordering of rows in a DataTable through click-and-drag mouse and touch operations. RowReorder provides full support for Editor allowing end users to update sequential information in a fast and easy manner. This is RowReorder for DataTables with styling for [DataTables](https://datatables.net/)

Go to Download

RowReorder adds end user reordering of rows in a DataTable through click-and-drag mouse and touch operations. RowReorder provides full support for Editor allowing end users to update sequential information in a fast and easy manner. This is RowReorder for DataTables with styling for [Bootstrap5](https://getbootstrap.com/)

Go to Download

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 [DataTables](https://datatables.net/)

Go to Download

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/)

Go to Download

Instagram scraper, with support for users, medias, tags and locations. Proxified by Residential and 4G Proxies.

Go to Download

FrameBot is a fast and secure framework that offers an ORM similar to Eloquent, making it incredibly user-friendly and powerful for developers looking to handle database operations efficiently. Designed with OOP principles in mind, FrameBot provides a robust foundation for building scalable applications.

Go to Download

Tracks basic user information to generate statistical data on page usage. Also provides additional information to debug 500 errors

Go to Download

Silex bundle that provides user management, authentication and authorization.

Go to Download

This bundle provides user management functionality for Symfony-based applications.

Go to Download

Provides the users module for the ACP3 CMS.

Go to Download