Libraries tagged by zdeveloper

kejawenlab/semart-skeleton

50 Favers
74 Downloads

Symfony Skeleton with common functionalities so developer can focus on business

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kadudutra/fpdi

0 Favers
739 Downloads

FPDI is a collection of PHP classes facilitating developers to read pages from existing PDF documents and use them as templates in FPDF. Because it is also possible to use FPDI with TCPDF, there are no fixed dependencies defined. Please see suggestions for packages which evaluates the dependencies automatically.

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johnsnook/yii2-parsel

3 Favers
1022 Downloads

Allows developers to provide a search query interface similar to Sphinx

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jetphp/jetphp

38 Favers
18 Downloads

A php micro-framework for web developers.

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jacerider/exo

0 Favers
2337 Downloads

Provides a number of UI enhancements and features for the refined site developer and builder.

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invoicebox/sdk-php

4 Favers
377 Downloads

This is a developer tool for integration with Invoicebox API

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inda-hr/php_sdk

6 Favers
476 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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ilmiont/smsw-php-sdk

0 Favers
503 Downloads

The SMS Works provides a low-cost, reliable SMS API for developers. Pay only for delivered texts, all failed UK messages are refunded.

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illegal/fluent-bcmath

2 Favers
161 Downloads

Fluent BCMath is a PHP package designed to simplify the usage of PHP's bcmath functions in a more fluid and intuitive way. With its expressive syntax and Laravel compatibility, it aims to improve the developer experience while working with arbitrary precision arithmetic operations.

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ibekzod/microcrud

1 Favers
144 Downloads

CRUD Structure for backed developers!

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htmlburger/carbon-fields-yoast

9 Favers
2649 Downloads

Helper library that allows developers to choose which fields from Carbon Fields to include in the Yoast readability score meter

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hosonode/easyai-php

11 Favers
20 Downloads

EasyAI-PHP is an open-source initiative designed to significantly simplify the entry into artificial intelligence for PHP-developers.

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halilcosdu/laravel-finetuner

17 Favers
23 Downloads

Laravel Fine tuner is a package designed for the Laravel framework that automates the fine-tuning of OpenAI models. It simplifies the process of adjusting model parameters to optimize performance, tailored specifically for Laravel applications. This tool is ideal for developers looking to enhance AI capabilities in their projects efficiently, with minimal manual intervention.

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globalis/wp-cubi

66 Favers
442 Downloads

WordPress modern stack for developers

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gilberg-vrn/php-foursquare

1 Favers
3717 Downloads

A simple PHP library for accessing the foursquare API (see: https://developer.foursquare.com)

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