Libraries tagged by fence

Universal Cloud Storage Uploader is a PHP package enabling easy file uploads to multiple cloud services including Alibaba Cloud OSS, Qiniu, Tencent Cloud, and Google Cloud. It provides a simple, unified API for streamlined integration and management.

Go to Download

Provides cascade functionality to Gedmo Doctrine Extensions soft-delete. Adjusted from E-vence/SoftDeleteableListenerExtensionBundle.

Go to Download

Savant (SavantPHP) is a simple and minimalistic, yet object-oriented, Templating System For PHP minimalist. It aims at ONE thing, being a simple lightweight TEMPLATING system. The focus is on ONE thing - PHP can do everything, so do everything with PHP, just use SavantPHP for only separating the 'view/templating' concern from your business logic. Hence the philosophy of 'I just want to separate my front layer(view) from the back layer(code logic) in the most simple & effective way & that's it, nothing more, nothing less, nothing else (no added crap)'

Go to Download

Tencent Cloud IM

Go to Download

tencent image detection SDK for Laravel

Go to Download

# 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.

Go to Download

FoF/upload TencentCloud COS support

Go to Download

Flysystem Adapter for Tencent Qcloud COS SDK V4

Go to Download

A lightweight, fast, and optimized XML file splitter with build in tag data validation, written with the XMLParser library. The main goal of this is to split an XML file into multiple small chunks (hence the name), then save it into multiple different little XML files.

Go to Download

Tencent ExMail SDK

Go to Download

Tencent ExMail SDK

Go to Download

腾讯云即时通信 SDK for PHP

Go to Download

腾讯云日志服务,tencent-cloud cls,cloud log service,基于PHP语言的可用的CLS结构化日志PB日志生成。LogGroupList 的 PB 格式打包内容,只包含结构化日志的生成，不包含完整的cls服务功能。附加签名代码。

Go to Download

TencentCloudApi php sdk

Go to Download

腾讯云 人脸识别 SDK for PHP

Go to Download