Libraries tagged by Roku

Do things as late as possible in a request. Don’t let your users wait

Go to Download

A HTML DOM parser written in PHP5+ let you manipulate HTML in a very easy way!

Go to Download

Composer adaptation of: A HTML DOM parser written in PHP5+ let you manipulate HTML in a very easy way! Require PHP 5+. Supports invalid HTML. Find tags on an HTML page with selectors just like jQuery. Extract contents from HTML in a single line.

Go to Download

Let using line-bot-sdk be much more comfortable in Laravel5.5+

Go to Download

Smart Seeder adds the same methology to seeding that is currently used with migrations in order to let you seed in batches, seed to production databases or other environments, and to rerun seeds without wiping out your data.

Go to Download

This a PHP library based on JasperReports library that let you create reports with a graphical tool (We recommend to use iReport).

Go to Download

This is a modified version to work with PHP 7.4+. Composer adaptation of: A HTML DOM parser written in PHP5+ let you manipulate HTML in a very easy way! Require PHP 5+. Supports invalid HTML. Find tags on an HTML page with selectors just like jQuery. Extract contents from HTML in a single line.

Go to Download

Magento 2 - Let customers change the quantity for checkbox based options with bundle products.

Go to Download

# 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.

Go to Download

Let emby support pinyin sorting

Go to Download

Let editors create tags quickly while editing a news record

Go to Download

Let go of the Aggregate - EventSourcing in PHP with the Dynamic Consistency Boundary (DCB) pattern.

Go to Download

Library that let you catch fatal errors

Go to Download

Flexible and powerful review system for Laravel, let any model review and be reviewed.

Go to Download

A Gravity Forms plugin to let the form creator decide if the values should be saved to database or not.

Go to Download