Libraries tagged by developersnl
lilt/lilt-connector-sdk-php
9398 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).
leuchtfeuer/mautic-auth0-bundle
950 Downloads
Auth0 is the solution you need for web, mobile, IoT, and internal applications. Loved by developers and trusted by enterprises.
leuchtfeuer/auth0
23492 Downloads
Auth0 for TYPO3 - Auth0 is the solution you need for web, mobile, IoT, and internal applications. Loved by developers and trusted by enterprises.
klevu/module-m2-logger-api
18018 Downloads
Provides extension points and APIs that 3rd-party developers can use to provide logging for klevu modules suites
klevu/module-m2-frontend-api
13347 Downloads
Provides extension points and APIs that 3rd-party developers can use to change frontend behaviour of Klevu modules
klevu/module-m2-frontend
13592 Downloads
Provides extension points and APIs that 3rd-party developers can use to change frontend behaviour of Klevu modules
klevu/module-m2-customer
18013 Downloads
Provides extension points and APIs that 3rd-party developers can use to change customer data
kaabar-jwt/yii2-jwt
36729 Downloads
The Yii2 JWT extension is a tool for implementing JWT (JSON Web Token) authentication in Yii2 applications. It allows developers to create APIs that require authentication and authorization, ensuring that only authorized users can access certain resources. The extension provides a simple and flexible way to implement JWT authentication in Yii2, using the JWT library and following the JWT specification. It includes support for creating and verifying JWT tokens, as well as handling token expiration and refresh. The Yii2 JWT extension can be easily integrated into any Yii2 application, making it a powerful tool for API authentication and authorization.
justcoded/wordpress-theme-framework
4198 Downloads
Lightweight theme framework base with Model-View concept for developers who want to better organize their own custom themes.
josefglatz/cropvariantsbuilder
24839 Downloads
Simplify writing cropVariants for TYPO3 Integrators/Developers
jeffersongoncalves/laravel-gtm
2696 Downloads
This plugin seamlessly integrates Google Tag Manager (GTM) into your website, enabling streamlined management and deployment of marketing tags, analytics, and tracking pixels. With easy-to-implement script inclusion and customizable options, it simplifies the process of monitoring user interactions and gathering valuable insights without altering your site's core code. Perfect for marketers and developers looking to enhance their tracking capabilities with minimal effort.
jcchavezs/cmb2-conditionals
8189 Downloads
CMB2 Conditionals is a plugin for CMB2 which allows developers to relate fields so one of them could only appear when one other have an specific value or when is not empty.
jacerider/neo
2964 Downloads
A UI and UX framework providing a number of features, utiilities and helpers for Drupal developers and site builders.
inda-hr/php_sdk
1335 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.
ilya/belt
20935 Downloads
A handful of tools for PHP developers.