Libraries tagged by idea

Spatial and Geographic Data with PostGIS and Doctrine. (by jsor)

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Laravel Package to send push notifications to Android and IOS devices. (GCM,FCM,APN)

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Library to modify the OXID eShop database. Ideal for OXID modules to have their tables.

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Explore Domain-Driven Design and CQRS in Laravel with this clean and scalable architecture template, ideal for complex applications seeking maintainability and clarity.

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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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Smarty template engine plugins collections based on ideas for plugins from XOOPS

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基于责任链模式的错误日志处理组件，支持多通道日志处理（如本地文件、远程 API、控制台输出），适用于复杂日志策略场景 | An error logging component using the Chain of Responsibility pattern. Supports multiple output channels like local files, remote APIs, and console logs—ideal for flexible and scalable logging strategies.

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Turns difficult strings into easy to read strings ideal for sharing

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This package allows you to take the identity of another user without entering the password. Keep in mind that you have to be very careful who we give access to this option, as it is ideal for admin users.

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Including the tests and other useless information like .travis.yml in distributed packages is not a good idea. "Compify" tries to remove everything, in order to save bandwidth and disk usage, but the necessary code for the package to work in your app or library.

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An advanced PHP serialization tool leveraging attributes for flexible object-to-array and JSON conversion. Supports property aliases, type conversions, and nested object handling. Ideal for APIs, data persistence, and configuration management.

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Lyra is an administration panel for Laravel for bootstrap your app and turn ideas into reality.

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The foundational PHP library for PHPFlasher, enabling the creation of framework-agnostic flash notifications. Ideal for building custom integrations or for use in PHP projects.

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phpBB Ideas centre

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Better type hinting for eloquent models

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