Libraries tagged by thepower
wp-graphql/wp-graphql-buddypress
35 Downloads
WPGraphQL BuddyPress is a free and open-source extension for the WPGraphQL plugin, bringing the power of GraphQL to BuddyPress.
victorap93/powerbiembedded
145 Downloads
Power BI Embedded is an easy way to obtain the necessary token to build the Power BI Embedded interface
synergitech/twigbridge
23760 Downloads
Adds the power of Twig to Laravel
stayforlong/twigstay
14926 Downloads
Adds the power of Twig to Laravel
muhammedsaidckr/flarum-chatgpt
377 Downloads
This extension integrates the power of ChatGPT within the Flarum platform, enabling seamless AI-powered conversation capabilities for users.
jfbiswajit/php-bigquery
866 Downloads
PHP BigQuery for Laravel is a seamless integration package that allows you to harness the power of Google BigQuery in your Laravel applications effortlessly. With a zero-configuration setup, plug and play this library to perform high-speed querying and advanced analytics on large datasets.
jason-morton-nz/laravel-grunt
3203 Downloads
Asset manangement package for Laravel 4 using the power of Grunt & Bower
jalendport/craft-stripecheckout
487 Downloads
Bringing the power of Stripe Checkout to your Craft templates.
inda-hr/php_sdk
423 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.
datalogix/laravel-validation
2382 Downloads
Laravel Validation is a package the power of Respect Validation.
codingculture/request-resolver-bundle
11987 Downloads
Joins the power of symfony OptionsResolver and Requests to create a clean API for your requests
cerbero/workflow
3046 Downloads
Create extendible and maintainable applications by harnessing the power of pipelines.
beedelivery/validation
1938 Downloads
The power of 'Respect Validation' on Laravel.
acidjazz/larpug
539 Downloads
Adds the power of Pug to Laravel
maatwebsite/clerk
145 Downloads
An eloquent way of importing and exporting Excel and CSV in PHP 5.4+ with the power of packages PHPExcel, League/Csv and Laravel's Collections