Libraries tagged by both

Some useful and commonly used types, both scalar or composite.

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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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🇮🇷 Complete Laravel Persian validation package - Iranian national ID, mobile numbers, Shamsi dates, IBAN/Sheba, postal codes & more. Modern Laravel 10-13 support with both ValidationRule objects & string-based rules.

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Shared interfaces, DTOs, event names, and protocol types used by both phlix-server and phlix-hub. Composer-installable, PHP 8.3+, zero I/O by charter — the only bundled network code is the blocking CurlArrTransport (CLI/test only); event-loop consumers MUST inject an async ArrTransportInterface.

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Pure PHP library for reading Microsoft Compound Binary File Format (CFBF/OLE) documents. Supports both little-endian and big-endian files with stream wrapper interface.

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Anydataset NoSQL standardizes the access to non-relational databases/repositories and provides a consistent interface for both NoSQL document databases and Key/Value stores.

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A robust, production-grade Laravel package for SAP Business One HTTP integration, supporting both OData and custom (non-OData) SAP Service Layer (SML) endpoints.

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This package makes validation rules defined in laravel work client-side by converting to html/js plugins such as jquery validation. It also allows to use laravel validation messages so you can show same messages for both sides.

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library for interfacing with stratum servers, used to serve both bitcoin mining and electrum clients

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Aksara is a CodeIgniter based CRUD Toolkit you can use to build complex applications become shorter, secure and more reliable just in a few lines of code. Serving both CMS or Framework, produce both HEADLESS (RESTful API) or TRADITIONAL (Browser Based), just by writing single controller. Yet it's reusable, scalable and ready to use!

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Laravel mail driver to send emails using Microsoft Graph, supporting both personal accounts as well as work/school accounts (365/Exchange)

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Provides generalized functionality to compose and send both text and MIME-compliant multipart e-mail messages

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Custom laravel monolog logger for datadog logs management, both api and agent ways

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Both Date and Time picker widget based on twitter bootstrap

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PHP клиент для работы с API Bothelp.io

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