Libraries tagged by core manager

pixelbin/pixelbin

0 Favers
567 Downloads

Pixelbin Backend SDK for PHP helps you integrate the core Pixelbin features with your application.

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lcli/app-vcs

1 Favers
193 Downloads

PHP Web System Vcs manager

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chrometoaster/ga-gtm-singlefield

0 Favers
6108 Downloads

Adds single field to CMS settings section to hold GA or GTM code. Template snippets need to be inserted to theme templates manually.

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zephir/luya-module-admin

48 Favers
1536 Downloads

Administration core module for all LUYA admin modules

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backbee/backbee-standard

84 Favers
1712 Downloads

BackBee CMS Standard Edition distribution

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backbee/backbee-cms

89 Favers
140 Downloads

BackBee CMS Standard Edition distribution

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backbee/backbee

193 Favers
4729 Downloads

BackBee is the next generation open source CMS

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webappid/laravel-user

9 Favers
664 Downloads

Core simple user management for laravel

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novaris-dev/framework

0 Favers
92 Downloads

Novaris Framework: The core foundation of the Novaris Content Management System (CMS), providing a robust and flexible architecture designed to power dynamic content-driven websites

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zgldh/discount-and-coupon

10 Favers
638 Downloads

The core logic about discount and coupon. Useful to manage discount campaign, defining coupon and calculate the final price.

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madj2k/t3-klarokratie

0 Favers
158 Downloads

Includes Klaro!-Consent-Manager into TYPO3. Completely file-based configuration for versioning without having to take care of database-entries.

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localizationteam/localizer

1 Favers
24335 Downloads

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.

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inda-hr/php_sdk

6 Favers
494 Downloads

# 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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zhieq/laravel-verification-code

0 Favers
321 Downloads

zhieq group verification code manager

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kematjaya/code-manager-bundle

1 Favers
1264 Downloads

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