Libraries tagged by visits

This server-side plugin is useful for all Roundcube users who don’t like to log into their e-mail account each time they open their browser. The plugin stores a persistent login cookie which automatically logs the user in the next time he or she visits the Roundcube web mailer.

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SteamAuthentication is a basic set of PHP files that enable users to login using their steam account to view protected content on your website. it creates a session using their steamid as the sessionID and checks for the session when a user visits the page. It also includes a file which allows you to use their profile information such as their avatar and online status.

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The official PHP library for apiip.net that allowing customers to automate IP address validation and geolocation lookup in websites, applications and back-office system. Visit our API docs at https://apiip.net/documentation

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Setting the Last-Modified header and 304 Not Modified response code if the page hasn't changed since the last visit

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log your visitors in db, page hits, and generate visit counter for Laravel 5

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Manage your forms easily with powerful tools: TypoScript based validation, Fluid view helpers, a whole JavaScript API, and more. Use pre-defined layouts for Twitter Bootstrap and Foundation to build nice-looking forms in minutes. Need to build a basic form with only two fields? Need to build a huge registration form with dozens of fields? Use FormZ, it will live up to your expectations! Visit typo3-formz.com for more information.

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Rinvex Statistics is a lightweight, yet detailed package for tracking and recording user visits across your Laravel application. With only one simple query per request, important data is being stored, and later a cronjob crush numbers to extract meaningful stories from within the haystack.

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Redirect first user visit to forum Rules Page

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Custom post types, taxonomies and ACF field groups

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Arcanist util to run tests and generate code coverage reports for phpunit7 format.

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Track number of visits and last visited by a member of a silverstripe site.

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The Google Analytics module consists of 2 components that can be employed independently: The Google Logger injects the google analytics javascript snippet into your source code and logs relevant events (as of now only crawler visits) The Analyzer adds the Google Analytics UI to your CMS.

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This module will redirect the customers regarding their country of origin, on their first visit session.

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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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Connect to the Google Analytics API to get page visits

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