Libraries tagged by Theme management system

A powerful theme management system for Laravel 12.x that helps you organize themes, layouts, assets, and widgets efficiently. Based on teepluss/theme with modern Laravel compatibility.

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Advanced theme management system for Laravel Filament with Sushi-powered in-memory storage

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A professional theme management system for Laravel 11/12/13 with first-class Livewire 4 support, diagnostics, design tokens, and zero-config modular integration.

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Fully automatic SSG. Host this somewhere, forget about it, have your static content up to date, always.

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Theme and layout management system for CodeIgniter 4 modules

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WordPress-like theme management system for Laravel

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Movie Juzaweb Plugin help you easily create movie website. It is a powerful, flexible and User friendly movie & Video Steaming Theme with advance video contents management system. It’s easy to use & install. It has been created to provide unique experience to movie lover & movie site owner. To observe of ISP needed we have made MYMO to use as multipurpose video website. It was created to run with MyMo Theme.

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Enhance your online store's mobile navigation with the MHinspeya Mobile Mega Menu module. This module is designed to provide an optimal browsing experience for mobile users, featuring a user-friendly and highly customizable mega menu. With the MHinspeya Mobile Mega Menu, your customers can easily navigate through categories and subcategories, making their shopping experience smoother and more efficient. The module is fully compatible with the Hyva theme and offers seamless integration with your existing Magento 2 store. Key features include multi-level dropdowns, custom styling options, and easy backend management. Ensure your mobile users have access to a streamlined and intuitive navigation system, helping to increase engagement and conversion rates on your site.

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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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Material Dashboard themed CMS for Laravel

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Filament CMS is a powerful package designed to streamline content management system (CMS) development using Laravel and Filament. It offers a fast and flexible solution for building dynamic, user-friendly interfaces for managing content, empowering developers to create and deploy CMS applications with ease. Key features include: Page Management – Effortlessly create, edit, and organize pages, with the ability to easily attach them to multilevel menus. Multilevel Menus – Design and manage hierarchical menus that enhance navigation and improve user experience. Gallery Integration – Incorporate galleries seamlessly into your CMS, enabling rich media management with minimal effort. Filament CMS is your go-to package for building robust, scalable, and feature-rich CMS applications using Laravel and Filament.

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Amerencio provides secure, sophisticated, and custom-built login and authentication APIs for businesses. Our solutions ensure robust security, seamless integration with existing systems, and compliance with the highest industry standards. These are not simple APIs, but comprehensive identity management systems designed to deliver reliability and protection at enterprise scale.

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Tech Bench is a custom Content Management System (CMS) built to aid service technicians by allowing them to store and share information for the systems and customers they maintain.

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# Overview The ELMO API is a RESTful based API that facilitates user information management within the ELMO ecosystem. Our API is designed to empower businesses, including our valued customers and partners, in creating scalable integration solutions aligned with their evolving business needs. By using this API, you gain access to invaluable HR data, enabling you to supercharge your applications and integrations, driving efficient workflows and enhancing core business processes. The below section provides an overview of the current capabilities of the API: * Get users list * Get an individual user's details * Get a user template to create a new user * Create new user * Get positions list * Get locations list * Get department list * Get metadata of configurable fields * Get all users employment details * Get an individual user's employment details * Get legal entity details * Get payroll calendar details * Get leave request details * Get leave type details Note that this is the latest version of the API Documentation that utilises OAuth2 authentication. The previous version of the documentation can be found at [API Documentation version 1](/v1/index.html) Please be advised that endpoints labelled as beta are intended for customer testing and feedback and may change based on feedback, potentially impacting backward compatibility. Consider this before integrating it with production systems to avoid disruptions to your integrations. --- # Authentication ELMO API utlises OAuth2.0 authentication. Company Admins are able to create and manage API Credentials. --- # API Rate Limits There are limits applied to the number of API requests your application can make. This limit is lower in sandbox and higher in production environments. The ELMO User API also supports custom usage plans to scale with your organisation's needs. Sandbox Environment * **Rate limit**: 1 request per second * **Burst limit**: 10 * **Quota**: 500 requests in 1 day Production Environment * **Rate limit**: 1 requests per second * **Burst limit**: 10 * **Quota**: 5000 requests in 1 day --- # Generating Client SDKs You can use the OpenAPI Specification file to generate a client SDK. You can download the file from [here](index.yaml). Then use the tool of your choice to generate a client SDK. You can get started [here](https://swagger.io/tools/swagger-codegen/).

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