Libraries tagged by ovri
lucinda/requester
18939 Downloads
Light weight complete object oriented cURL wrapper for HTTP/HTTPS requests
lucasantarella/array_keys_recursive
1554 Downloads
Library to get array keys of a multidimensional array, retaining the original array structure.
level-level/clarkson-core
135559 Downloads
A plugin to write Object-Oriented code in combination with the Twig templating engine while keeping the WordPress Way of working in mind.
larodiel/sage-acf-gutenberg-blocks
793 Downloads
Fork of the original Sage ACF Gutenberg Blocks project. Create Gutenberg blocks from Sage blade templates and ACF fields.
lanfix/goaop-framework
150962 Downloads
Framework for aspect-oriented programming in PHP.
krzysztofrewak/laravel-oop-validator
5619 Downloads
Laravel Validator object-oriented wrapper
kiwa/link-obfuscator
4401 Downloads
Strong link obfuscation with PHP and JavaScript. Object-oriented, using the Rot47 algorithm. Hides email, phone and sms links from being crawled by spambots.
kaareln/php-svg-path-data
1547 Downloads
Add SVG Path Data with object oriented structure
jrmc/php-unoconv
20878 Downloads
Unoconv PHP, an Object Oriented library for easy file conversion with LibreOffice's unoconv
jameswatts/cake-toolkit
3294 Downloads
Define your View as a class, providing a powerful object-oriented factory interface to dynamically build your CakePHP application UI with configurable objects
ionews/boletosphp
5278 Downloads
gerador de boletos orientado a objetos
inda-hr/php_sdk
425 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.
ilias/maestro
66 Downloads
A PHP object-oriented postgres database manager
idanoo/php-resque
44539 Downloads
Redis backed library for creating background jobs and processing them later. Based on resque for Ruby. Originally forked from chrisboulton/php-resque.
hebis/picarecord
375 Downloads
Object oriented interface to Pica+ records, fields, and subfields