Libraries tagged by api docs
pululuk/zendesk_api_client_php
2559 Downloads
PHP Client for Zendesk REST API. See https://developer.zendesk.com/rest_api/docs/core/introduction .
evolco/laravel-swagger-docs
606 Downloads
Swagger docs generator for Laravel api
winter/wn-docs-plugin
2808 Downloads
Read and manage documentation within Winter CMS
khazhinov/laravel-fly-docs
4144 Downloads
Library for generating documentation for the OpenApi 3.0 standard in the Laravel ecosystem with a built-in UI
gohiljayvirsinh/docspring
10451 Downloads
docspring/docspring
16318 Downloads
DocSpring is a service that helps you fill out and sign PDF templates.
lilt/lilt-connector-sdk-php
7197 Downloads
This document describes the Plugin API for Lilt's Connector platform. The Plugin API is intented to be used by developers who wish to build integrations into their desired systems. The purpose of this API is to enable content transfer and status monitoring for localization projects. - Read more about the concepts and workflows in the [user guide](/docs/api/v1.0). - Test the API interactively via [Swagger UI](/api/v1.0/ui).
inda-hr/php_sdk
419 Downloads
# 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.
slothsoft/unity
618 Downloads
Slothsoft's Unity API
shaunluedeke/laravel-openapi
910 Downloads
Generate OpenAPI Specification for Laravel Applications
shanginn/laravel-openapi
3098 Downloads
Generate OpenAPI Specification for Laravel Applications
osushi/apidoc
2600 Downloads
API markdown document generator
ogsoft/laravel-openapi
354 Downloads
Generate OpenAPI Specification for Laravel Applications
og-soft/laravel-openapi-value-object
350 Downloads
Generate OpenAPI Specification for Laravel Applications from value objects
luezoid/laravel-core
1756 Downloads
A feature rich Laravel package which provides fast & flexible way to quickly build powerful RESTful APIs. Various other features like queries & filters over nested complex relationships between models can be done on the go using this package. Read the docs for more info.