Libraries tagged by Support System

Unified audit logging system for Laravel with Nova support

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This bundle provides a simple cache management to Symfony2. Now you can use a cache system without reinventing it. It supports Apc, XCache, File, ZendData and Array..

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Registry-based data export system for Laravel with pluggable format support. Ships with CSV and JSON exporters

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Hcms is a project development management system based on Hyperf framework. Under the support of Hyperf's hyperspeed and flexibility characteristics, it builds a project development management system with rapid development and module reuse.

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Powerful class discovery system for Laravel with attribute-based scanning, directory traversal, and monorepo support

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Standalone form system for the Wire ecosystem – fields, validation, layout, standalone Livewire form support.

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A Laravel package to manage SaaS features, quotas and usage. Supports boolean features, numeric limits, storage, unlimited plans and period-based usage. Built for modern multi-tenant SaaS and flexible billing systems.

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CloudABIS™ can compare millions of ISO fingerprint templates/sec for fast 1:N matching & de-duplication requirements. Customers simply connect through our API or CloudApper™ software & instantly have the ability to perform fast 1:N matching. Our software supports many fingerprint readers & device activation is seamless with our CloudScanr™ app. CloudScanr™ also enables the biometric system to instantly work across any web browser.

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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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Production-ready comments system for Laravel: nested threads, reactions, guest & user support, polymorphic models, moderation, rate limiting

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Flexible, strategy-based text chunking for Laravel with support for character, token, sentence, and markdown-aware splitting. Perfect for AI/LLM applications and RAG systems.

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WHOIS lookup library for PHP - Query 70+ WHOIS servers directly, parse responses for 20+ TLDs, build raw WHOIS APIs, domain availability checkers, and registration info tools. Features plugin system for custom parsers, Laravel integration, IDN support, and 30+ date format handling.

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Simple support system for tracking, prioritising and solving customer support tickets.

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User-facing support ticket system with public contact form, legal pages, and operator-managed conversations for the Yezz Media Laravel platform.

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Wsmallnews system support modules

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