Libraries tagged by be_users

When displaying large amounts of data in a table, it can often be useful for the end user to have the column titles always visible. This is particularly true if using DataTables with pagination disabled, or the display length is set to a high value. The FixedHeader extension provides this ability. This is FixedHeader for DataTables

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Library to be bundled with WordPress plugins to enforce users to install and activate WooCommerce plugin.

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A tool for Laravel's Nova administrator panel that enables users to create webhooks that can be customized to fire on specified Eloquent model events (created, updated, etc). This allows applications to communicate with other applications and integrations (Zapier, If This Then That, etc).

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Provides user-definable templates within the CMS that can be applied to content trees. Allows specification of Layout and main templates, as well as associating css + js files

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Allow many tabs to be added for one model (e.g. break down users by the first letter of their last name)

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This package brings an API interface to the application API in order to be able to create API tokens for a user

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This class is meant to be used with your Github hosted WordPress plugins. The purpose of the class is to allow your WordPress plugin to be updated whenever you push out a new version of your plugin; similarly to the experience users know and love with the WordPress.org plugin repository.

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This package brings an API interface to the application API in order to be able to create API tokens for a user

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Welcome to the Svix API documentation! Useful links: [Homepage](https://www.svix.com) | [Support email](mailto:[email protected]) | [Blog](https://www.svix.com/blog/) | [Slack Community](https://www.svix.com/slack/) # Introduction This is the reference documentation and schemas for the [Svix webhook service](https://www.svix.com) API. For tutorials and other documentation please refer to [the documentation](https://docs.svix.com). ## Main concepts In Svix you have four important entities you will be interacting with: - `messages`: these are the webhooks being sent. They can have contents and a few other properties. - `application`: this is where `messages` are sent to. Usually you want to create one application for each user on your platform. - `endpoint`: endpoints are the URLs messages will be sent to. Each application can have multiple `endpoints` and each message sent to that application will be sent to all of them (unless they are not subscribed to the sent event type). - `event-type`: event types are identifiers denoting the type of the message being sent. Event types are primarily used to decide which events are sent to which endpoint. ## Authentication Get your authentication token (`AUTH_TOKEN`) from the [Svix dashboard](https://dashboard.svix.com) and use it as part of the `Authorization` header as such: `Authorization: Bearer ${AUTH_TOKEN}`. For more information on authentication, please refer to the [authentication token docs](https://docs.svix.com/api-keys). ## Code samples The code samples assume you already have the respective libraries installed and you know how to use them. For the latest information on how to do that, please refer to [the documentation](https://docs.svix.com/). ## Idempotency Svix supports [idempotency](https://en.wikipedia.org/wiki/Idempotence) for safely retrying requests without accidentally performing the same operation twice. This is useful when an API call is disrupted in transit and you do not receive a response. To perform an idempotent request, pass the idempotency key in the `Idempotency-Key` header to the request. The idempotency key should be a unique value generated by the client. You can create the key in however way you like, though we suggest using UUID v4, or any other string with enough entropy to avoid collisions. Svix's idempotency works by saving the resulting status code and body of the first request made for any given idempotency key for any successful request. Subsequent requests with the same key return the same result. Please note that idempotency is only supported for `POST` requests. ## Cross-Origin Resource Sharing This API features Cross-Origin Resource Sharing (CORS) implemented in compliance with [W3C spec](https://www.w3.org/TR/cors/). And that allows cross-domain communication from the browser. All responses have a wildcard same-origin which makes them completely public and accessible to everyone, including any code on any site.

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Library to be bundled with WordPress themes and plugins to ask for users to leave a review.

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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.

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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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If your website has static caching on, and you drive traffic to it from social media, Google Ads and other sources that add query string parameters to the URL, there is a chance that each time new user visits a page, it will not be served from cache, but will be generated from scratch. This is because the URL with query string parameters is treated as a different URL from the one without query string parameters.

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KeyTable allows you to use keyboard navigation on a DataTables enhanced table, like an Excel spreadsheet - a cell shows a focus outline which can be moved using the keyboard or mouse operations. This can be particularly useful in an editable table that uses Editor allowing end users to update data very quickly. This is KeyTable for DataTables

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This extension adds support for underline syntax. It allows users to use !! in order to indicate text that should be rendered within tags.

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