Libraries tagged by power of

renoki-co/clusteer

89 Favers
1192 Downloads

Clusteer is a Puppeteer wrapper written for PHP, with the super-power of parallelizing pages across multiple browser instances.

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rakshitbharat/extendeddatabase

12 Favers
242 Downloads

Extend Power of Laravel's ORM Eloquent with attaching more methods to it.

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ostark/yii2-artisan-bridge

8 Favers
17480 Downloads

Brings the ease of Artisan commands and the power of Symfony console to Yii2.

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n5s/wp-cli-move

25 Favers
38 Downloads

Sync your WordPress content (database and uploads) between stages using the power of WP-CLI aliases.

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muhammedsaidckr/flarum-chatgpt

4 Favers
672 Downloads

This extension integrates the power of ChatGPT within the Flarum platform, enabling seamless AI-powered conversation capabilities for users.

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mageos/module-admin-assist

12 Favers
20 Downloads

Combine the power of LLM and domain knowledge to improve admin experience though a chatbot UI.

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leofranca47/abstract-repository-eloquent-laravel

2 Favers
624 Downloads

Essa é uma classe php onde tem métodos que podem ser chamados igual no Eloquent. Serve para criar repositórios e facilitar os testes unitários sem perder o poder do Eloquent - This is a php class where it has methods that can be called equal in Eloquent. It serves to create responses and facilitate unit tests without losing the power of the Eloquent

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joeymckenzie/nasastan

43 Favers
4 Downloads

A PHPStan extension to enforce NASA's Power of Ten rules.

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jfbiswajit/php-bigquery

2 Favers
2897 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.

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jason-morton-nz/laravel-grunt

125 Favers
3204 Downloads

Asset manangement package for Laravel 4 using the power of Grunt & Bower

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jalendport/craft-stripecheckout

43 Favers
495 Downloads

Bringing the power of Stripe Checkout to your Craft templates.

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inda-hr/php_sdk

6 Favers
846 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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devsrealm/tonics-event-system

0 Favers
653 Downloads

Tonics Event System is a PHP library that harnesses the power of event-driven architecture for the processing of how events are delegated & segregated.

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comecc/excel

0 Favers
346 Downloads

An eloquent way of importing and exporting Excel and CSV in lumen with the power of PHPExcel

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codingculture/request-resolver-bundle

1 Favers
14423 Downloads

Joins the power of symfony OptionsResolver and Requests to create a clean API for your requests

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