Libraries tagged by booking php

BroScript php api sdk

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A package to add booting/initialization functionality to PHP traits

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PHP library for looking up users in a database table field

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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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Method hooking in PHP.

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A declarative lexer seamlessly hooking into php functions, building ASTs for multiple languages.

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Unofficial TikTok Business API SDK in PHP: This package provides a simple and unofficial interface for integrating with the TikTok Business API. Developed in PHP, it streamlines the connection with the platform, enabling developers to create and manage marketing campaigns, analyze performance metrics, and automate interactions with TikTok audiences efficiently. Ideal for businesses and agencies looking to enhance their marketing strategies on the world's most popular video social network.

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Parses strings for docBlock like portions and then extracts the annotations, descriptions, and optional document content. This should not be used as an annotation parser for PHP code, at least not on it's own. If you're looking to do something with the docBlocks you might want to use something like https://github.com/schmittjoh/metadata better. This is more for if you're trying to get metadata from a plain text file. Look through the tests for examples.

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The LalamovePHP-SDK repository is the ideal solution for PHP developers looking to integrate Lalamove's on-demand delivery functionality into their applications.

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A PHP package for looking up BIN numbers.

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PHP micro framework for hooking into magic methods using docblocks and attributes.

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A lightweight PHP wrapper for the Defuse PHP-Encryption library, designed to simplify key management, session key encoding, and data encryption/decryption. Ideal for developers looking for an easy-to-integrate cryptographic solution.

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LipsumGenerator can be used to create garbeled, non repetitive 'chapters' using the standard Lorem Ipsum text as a basis. It'll try to generate reasonable well looking paragraphs in the chapters.

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ExceptionMonitor gives you nice looking PHP Error Messages. If you wish more features feel free to contribute.

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NextPHP is a modern and lightweight PHP framework designed for performance and scalability. It offers powerful routing capabilities, comprehensive HTTP handling, and efficient database operations. NextPHP is ideal for developers looking to build high-performance web applications with ease.

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