Libraries tagged by dead code

An AI bot made for the command line that can read and understand any codebase from your Laravel app.

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现代化 PHP 8.3+ 队列组件：不可变消息对象、可见性超时与至少一次投递、内建 Worker 与死信存储，支持 Redis / 数据库 / Beanstalkd / AMQP / Kafka 等多种后端

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PDO connection pool for PHP with read/write splitting, round-robin load balancing across replicas, and automatic health checks — supports MySQL, PostgreSQL, and SQLite; a building block of the open-source foundation that Jardis-generated DDD code runs on

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A lightweight Laravel package that adds a middleware to automatically capture and store UTM parameters (like utm_source, utm_medium, utm_campaign) from incoming requests. Makes it easy to track traffic sources across sessions for analytics, marketing attribution, or lead tracking.

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This repository contains Aspose Cloud SDK for PHP source code. Aspose Cloud SDK for PHP lets PHP developers convert and process a variety of file formats in the cloud quickly and easily.

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A php package to read WAV data

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Berlioz PhpDoc is a PHP library to read the documentations in code (classes, methods and functions) with advanced annotation interpretation.

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AI agents for Laravel: an agent engine and an MCP server sharing one tool list, built on laravel/ai and laravel/mcp — tools gated by the app's own abilities, read or write tokens for Claude Code, Claude Desktop and Cursor, queued turns, budgets and limits per workspace and per user. packstub/filament-agents adds the chat and the operator pages to a Filament panel.

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Read and write config files as PHP Code

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Filesystem abstraction for PHP covering local and S3-compatible storage — unified read, write, stream, and visibility API without Flysystem or the AWS SDK; a building block of the open-source foundation that Jardis-generated DDD code runs on

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PSR-16 multi-layer cache for PHP — stack Memory, APCu, Redis, and Database backends with automatic read-through backfill and write-through propagation; a building block of the open-source foundation that Jardis-generated DDD code runs on

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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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Adds a read only text field to Craft CMS with click-to-copy functionality.

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Read-only Greek postal-code data for PHP, backed by an embedded SQLite database.

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Leadinfo - Leadinfo enables you to see real-time which companies are visiting your website and what pages they’re viewing to increase your sales.

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