Libraries tagged by sinch

mallardduck/whois-client

17 Favers
1864 Downloads

A very basic Whois client for PHP. The library is limited in function since it's intended to be a low-level client that handles only request and raw output.

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liquiddesign/migrator

1 Favers
4851 Downloads

⇄ Migrátor je nástroj pro synchronizaci StORM Entit and SQL databáze

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ldavidsp/laravel-sync

4 Favers
277 Downloads

Synchronize your local or stage database with the production one.

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jszczypk/wampsyncclient

2 Favers
14430 Downloads

Synchronous (blocking) PHP client for WAMP protocol implementing Caller and Publisher roles

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jc-electronics/magento2-exact-orders

1 Favers
8229 Downloads

Synchronize Exact orders to Magento to display them as regular orders

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inda-hr/php_sdk

6 Favers
851 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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imarc/devour

0 Favers
6801 Downloads

An SQL database synchronizer

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fndmiranda/data-migration

35 Favers
420 Downloads

Synchronize and migrate data between the application and the database

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ezsystems/ezplatform-i18n

1 Favers
94282 Downloads

Meta repository to store every Ibexa translation. This should be used during development to ease synchronization with Crowdin. SHOULD NOT BE USED IN PRODUCTION

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drands/deployer-sync

2 Favers
124 Downloads

A Laravel package to synchronize database and uploaded files between local and remote servers using Deployer.

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campoint/postgrest-php

3 Favers
284 Downloads

PostgREST client for PHP. This library provides a synchronous and asynchronous interface to PostgREST.

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bradsearch/search-sync-sdk

0 Favers
198 Downloads

PHP SDK for Brad Search synchronization API

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apptank/horusync

0 Favers
337 Downloads

Data synchronization between mobile devices and a Laravel application

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alban/laravel-data-sync

3 Favers
58 Downloads

LaravelSheetSync is a library designed for the Laravel framework that allows you to import data from various sources, map its headers, build collections of objects based on the mapped data, and compare them with data currently stored in the database. It automatically classifies records into three categories: create, update, and delete, facilitating efficient and precise synchronization.

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9raxdev/mysql-struct-sync

22 Favers
94 Downloads

可用于帮助开发人员比较两个数据库之间的差异(表,列,约束,事件,函数,存储过程,触发器,视图),并生成更新语句。Can be used to synchronize database structures, compare differences(table,column,constraints,events,functions,procedures,triggers,views) between databases and generating queries.

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