Libraries tagged by Lgas

Track when the last time a task/command/whatever was executed.

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A Laravel package that adds created_by and last_updated_by attributes to Eloquent models.

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Simple, fast, standalone PHP lib, that helps You to define, if any of your files were modified since last time You check - Is this file FRESH?

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A simple package that provides functions to get a lock. Typically, you want to use locks when you want to be sure that 2 actions do not happen at the same time. For instance, if you regularly schedule cron tasks, you might want to be sure the last cron task finished before running the new one. A lock can help you do that.

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create names based on lists of firstname and lastname categorized by country and gender

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The last validation library you will ever need!

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A set of auto-curried immutable data-last functions for PHP. Inspired by lodash/fp.

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Extendable class holding the PHP backtrace minus the last n steps to avoid showing the traces of logging.

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A lightweight collection of useful general purpose PHP tools with no dependencies. Committed to always at least having minimal dependencies.

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Laravel Nova field, for showing multiple statuses or activity history by colorful row of squares (e.g. last 52 weeks activity).

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# 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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Librería para leer el código PDF417 de las cedulas de ciudadania de Colombia

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Paquete actualizado de traducciones para Laravel y Jetstream. El paquete incluye las traducciones de los siguientes elementos: Validaciones - Traducciones para las validaciones de Laravel. Mensajes - Traducciones para los mensajes de Laravel. Componentes Jetstream - Traducciones para los componentes de Jetstream - Correos - Traducciones para los correos de Jetstream.

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Analyze user input string, and split it into Russian first name, second name and last name

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SQL Con la información de las regiones, provincias y comunas de Chile según Decreto Exento Nº 817

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