Libraries tagged by it documentation

Simple common, starter, empty, boilerplate-bundle to show best practice bundle development for Symfony2.1. This bundle has the right directory structure, coding standards, unittests and functional tests. It uses the Travis Continuous Integration buildbot, Composer for dependency management and Twig for templating. Read the documentation and fork/clone if you wish.

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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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Access your CMDB on the command line interface

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Generate api documentation and use swagger to consume it

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This package can convert PHPDoc comments from classes into Markdown. It can parse a class file with a given file name and extracts the documentation of its functions and variables that it may contain in PHPDoc format. The package can convert the extracted documentation into a file in Markdown format.

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Laravel-ProjectAssist is a comprehensive toolkit for Laravel developers. It includes custom console commands, service providers, and utility classes that enhance productivity and simplify common tasks in Laravel project development. With thorough documentation and examples, this toolkit streamlines setup, reduces boilerplate code, and improves overall efficiency.

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TableBundle makes dealing with tables easier. This bundle manage the most common needs for tables. It works and flexible as Symfony Forms. For more documentations see http://www.table-bundle.com

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An automated documentation generator for Laravel and Filament projects. It analyzes your project structure, including models, Filament resources, controllers, jobs, events, middlewares, and rules, to create comprehensive Markdown documentation. Ideal for quickly onboarding new developers or maintaining an up-to-date project overview.

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laravel developer docs

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A simple "no framework" php wrapper for the GetRETS API from timitek (http://www.timitek.com). GetRETS is a product / service developed by timitek that makes it possible to quickly build real estate related applications for pulling listing data from several MLS's without having to know anything about RETS or IDX or worry about the pains of mapping and storing listing data from these various sources. GetRETS® as a service provides a RESTful API endpoint for consuming the data, and although it's not limited to only being used in PHP applications, and users aren't required to use our SDK, we have provided a simple PHP SDK for the API and set of documentation for it's use. Live Demo at: http://www.timitek.com/phpsdk/

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parse an ipunkt/laravel-json-api based api definition and write a blueprint api documentation for it

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The main objective of the Reflection component is to enhance PHP by type information and annotations. It uses source code documentation to determine data types and other pieces of information provided via annotations. Those annotations can be used to realize systems which depend on strong type information or additional details about the source code itself.

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Utility to scrape Telegram bot API documentation page and convert it into PHP classes.

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Versatile, universal and very flexibly customizable website toolbox. It offers a tool for maintenance and allows automatic integration of a project sitepackage. It is modularly expandable. See the documentation for more information.

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Versatile, universal and very flexibly customizable website toolbox. It offers a tool for choosing themes (templates) and allows automatic integration of a project sitepackage. It is modularly expandable. See the documentation for more information.

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