Libraries tagged by Build Task

# 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

Symfony is a complete framework designed to optimize the development of web applications by way of several key features. For starters, it separates a web application's business rules, server logic, and presentation views. It contains numerous tools and classes aimed at shortening the development time of a complex web application. Additionally, it automates common tasks so that the developer can focus entirely on the specifics of an application. The end result of these advantages means there is no need to reinvent the wheel every time a new web application is built!

Go to Download

Symfony bundle providing a Workerman runtime for high-performance long-running HTTP servers, with built-in task scheduler, process supervisor, PHAR packaging, and event-loop integration.

Go to Download

Support code for the "Build Your Own Neural Network With PHP" talk

Go to Download

Run Laravel jobs on a schedule via AWS EventBridge Scheduler and SQS — no server running around the clock required. Works alongside Laravel's built-in scheduler.

Go to Download

A string helper task with built in classes to easily add to Laravel 4

Go to Download

A minimal cooperative task scheduler (event loop) for PHP, built on native fibers.

Go to Download

A high-level foundation layer of the FireHub ecosystem, built on top of Runtime to provide expressive and developer-friendly APIs for common programming tasks.

Go to Download

See and run your Symfony Scheduler tasks from the back office: a read-only catalogue (command, cron, next run, last run and status) with a one-click manual run, built on Symfony Scheduler and Messenger.

Go to Download

Take control over your Laravel app version

Go to Download

Logging and messaging library that builds upon Psr-3 with Growl, Prowl, Html and other modules

Go to Download

Built with Laravel Standalone Package Creator

Go to Download

Rapidly setup gulp with pre-built tasks that help enforce coding standards, provide backwards compatibility, generates documentation & helps boost performance.

Go to Download

Consoles is a versatile PHP CLI toolkit that works both as a standalone tool and as part of your project, featuring built-in task scheduling, Phar packaging, and more.

Go to Download

Runs tasks in a parallel processing workerpool. Built atop qxsch/worker-pool with improvements.

Go to Download