Libraries tagged by lower speck

A library and script for Lower Speck requirements management

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A Laravel command for Lower Speck requirements management

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The Nodeum API makes it easy to tap into the digital data mesh that runs across your organisation. Make requests to our API endpoints and we’ll give you everything you need to interconnect your business workflows with your storage. All production API requests are made to: http://nodeumhostname/api/ The current production version of the API is v1. **REST** The Nodeum API is a RESTful API. This means that the API is designed to allow you to get, create, update, & delete objects with the HTTP verbs GET, POST, PUT, PATCH, & DELETE. **JSON** The Nodeum API speaks exclusively in JSON. This means that you should always set the Content-Type header to application/json to ensure that your requests are properly accepted and processed by the API. **Authentication** All API calls require user-password authentication. **Cross-Origin Resource Sharing** The Nodeum API supports CORS for communicating from Javascript for these endpoints. You will need to specify an Origin URI when creating your application to allow for CORS to be whitelisted for your domain. **Pagination** Some endpoints such as File Listing return a potentially lengthy array of objects. In order to keep the response sizes manageable the API will take advantage of pagination. Pagination is a mechanism for returning a subset of the results for a request and allowing for subsequent requests to “page” through the rest of the results until the end is reached. Paginated endpoints follow a standard interface that accepts two query parameters, limit and offset, and return a payload that follows a standard form. These parameters names and their behavior are borrowed from SQL LIMIT and OFFSET keywords. **Versioning** The Nodeum API is constantly being worked on to add features, make improvements, and fix bugs. This means that you should expect changes to be introduced and documented. However, there are some changes or additions that are considered backwards-compatible and your applications should be flexible enough to handle them. These include: - Adding new endpoints to the API - Adding new attributes to the response of an existing endpoint - Changing the order of attributes of responses (JSON by definition is an object of unordered key/value pairs) **Filter parameters** When browsing a list of items, multiple filter parameters may be applied. Some operators can be added to the value as a prefix: - `=` value is equal. Default operator, may be omitted - `!=` value is different - `>` greater than - `>=` greater than or equal - `=` lower than or equal - `>

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Provides regular expressions for technical values, consisting of: letters (lower case / uper case / case insensitive), underscrores, digits ... No blank, special char or something else.

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This package adds some power to your api rest server by allowing you to specify joins and eager loaded associations using http query parameters

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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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FreeClimb is a cloud-based application programming interface (API) that puts the power of the Vail platform in your hands. FreeClimb simplifies the process of creating applications that can use a full range of telephony features without requiring specialized or on-site telephony equipment. Using the FreeClimb REST API to write applications is easy! You have the option to use the language of your choice or hit the API directly. Your application can execute a command by issuing a RESTful request to the FreeClimb API. The base URL to send HTTP requests to the FreeClimb REST API is: /apiserver. FreeClimb authenticates and processes your request.

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This is a skeleton which runs a small test app using Silex and Yeoman (specifically the Angular/Bootstrap generator) including Bower and Grunt, with an Angular frontend.

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Speak Search by MageINIC, Speak Search extension brings the power of Voice Search to your online store. With this feature, customers can easily search for products using voice commands, enhancing their shopping experience. A microphone icon near the search box allows users to simply speak their queries, making the search process more intuitive and efficient.

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Hyva Speak Search by MageINIC, Hyva Speak Search extension brings the power of Voice Search to your online store. With this feature, customers can easily search for products using voice commands, enhancing their shopping experience. A microphone icon near the search box allows users to simply speak their queries, making the search process more intuitive and efficient.

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Pluxbox RadioManager gives you the power, flexibility and speed you always wanted in a lightweight and easy-to-use web-based radio solution. With Pluxbox RadioManager you can organise your radio workflow and automate your omnichannel communication with your listeners. We offer wide range specialised services for the radio and connections like Hybrid Radio, Visual Radio, your website and social media without losing focus on your broadcast. For more information visit https://pluxbox.com

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FreeClimb is a cloud-based application programming interface (API) that puts the power of the Vail platform in your hands. FreeClimb simplifies the process of creating applications that can use a full range of telephony features without requiring specialized or on-site telephony equipment. Using the FreeClimb REST API to write applications is easy! You have the option to use the language of your choice or hit the API directly. Your application can execute a command by issuing a RESTful request to the FreeClimb API. The base URL to send HTTP requests to the FreeClimb REST API is: /apiserver. FreeClimb authenticates and processes your request.

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## Introduction This comprehensive guide will equip you with the knowledge to integrate and leverage our Product Configurator Service in your applications. ## Quick Start Get up and running in no time! Follow these steps to kickstart your integration: 1. **Authentication:** Obtain your integration JWT to authenticate your requests. 2. **Client Libraries:** Explore our GitHub repositories to grab client libraries in your preferred programming language. 3. **API Overview:** Familiarize yourself with our RESTful API using the OpenAPI specification. ## Integration ### API Overview Our RESTful API is the gateway to unlocking the full potential of Product Configurator. Check out the detailed [API Reference](/docs/category/configurator) for a granular understanding of each endpoint and request/response format. ### Client Libraries To expedite your integration process, we provide client libraries for various programming languages. Find the one that suits your stack in our [GitHub repositories](https://github.com/Gemini-Commerce). ### Authentication Security is paramount. Learn how to authenticate your requests using JWT. This ensures a secure and reliable connection between your application and Product Configurator. ## Configuration Management ### Configurator Lifecycle Understand the lifecycle of configurators, from draft to active and deleted. This flexibility allows you to manage configurations at your own pace. ### Steps and Options Configure product steps with ease and define options effortlessly. Explore the power of dependencies to create dynamic and intuitive configurations. ### Matrices Delve into matrices—your secret weapon. Explore price and weight matrices, and learn how configured steps influence properties and pricing. ### Price Management Unleash dynamic pricing with our versatile price matrices. From fixed prices to incremental structures, adapt to diverse pricing models effortlessly. ## Security Your data is in safe hands. Discover how Product Configurator ensures security through JWT authentication, safeguarding your sensitive information. ## Backward Compatibility Stay ahead of the curve. Learn about our versioning strategy, providing backward compatibility while allowing our service to evolve seamlessly. ## Developer Support Have questions? Need assistance? Write to us at [[email protected]](mailto:[email protected]) and we will get back to you.

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FreeClimb is a cloud-based application programming interface (API) that puts the power of the Vail platform in your hands. FreeClimb simplifies the process of creating applications that can use a full range of telephony features without requiring specialized or on-site telephony equipment. Using the FreeClimb REST API to write applications is easy! You have the option to use the language of your choice or hit the API directly. Your application can execute a command by issuing a RESTful request to the FreeClimb API. The base URL to send HTTP requests to the FreeClimb REST API is: /apiserver. FreeClimb authenticates and processes your request.

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Search Package OverviewThe Search package is a powerful tool designed to facilitate efficient and effective search operations within various datasets or databases. It provides a set of functions and classes that enable users to perform complex search queries, filter results, and retrieve relevant data with ease. The package is highly customizable, allowing users to define their own search criteria, implement sorting mechanisms, and handle large volumes of data seamlessly.Key Features: Customizable Search Queries: Users can create tailored search queries using various operators and conditions, making it possible to perform both simple and advanced searches. Sorting and Filtering: The package includes built-in methods to sort and filter search results, enabling users to organize data based on specific parameters such as date, relevance, or custom fields. Scalability: Designed to handle large datasets, the Search package is optimized for performance, ensuring quick response times even with millions of records. Integration: The package is compatible with a variety of databases and data sources, making it a versatile solution for different types of projects. User-Friendly Interface: It offers a straightforward API that is easy to use, even for those who are not experts in programming. This allows a broader audience to leverage the power of advanced search capabilities.Use Cases: Data Analysis: Quickly find and retrieve specific information from large datasets for analysis. Content Management Systems: Implement efficient search functionality in content-heavy websites or applications. E-commerce: Enhance product search features in online stores, improving the user experience by providing relevant results swiftly. Knowledge Bases: Help users find relevant articles or documentation based on keyword searches.Overall, the Search package is an essential tool for anyone needing to implement or enhance search functionality in their applications, providing both power and flexibility in managing and retrieving data.

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