Libraries tagged by Nave

A utility to construct HTML class name strings in PHP

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A simple yet effective Filament plugin that automatically adds a customized topbar to your Filament admin panel. This plugin enhances your Filament panel's user experience by replacing the default topbar component with an improved version that displays navigation and user interface elements in strategic locations.

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Convert unicode and named (i.e. :smile:) Emoji into images

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An Alfred-inspired navigation system for Drupal.

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Laravel migration fields for things like address and name

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Simple Markdown file interpreter, which adds a navigation menu on every page

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Lookup for visitor's IP information, such as country, region, city, coordinates, zip code, time zone, ISP, domain name, connection type, area code, weather, MCC, MNC, mobile brand name, elevation and usage type.

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Use IP2Location geolocation database to lookup for accurate visitor location in Matomo. It enables the user to find the country, region, city, coordinates, zip code, time zone, ISP, domain name, connection type, area code, weather, MCC, MNC, mobile brand name, elevation and usage type that any IP address or hostname originates from. http://www.ip2location.com

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PHP module to geolocate the country, region, city, coordinates, zip code, ISP, domain name, timezone, connection speed, IDD code, area code, weather station code, weather station name, MCC, MNC, mobile brand name, elevation and usage type that any IP address or host name originates from.

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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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Rinvex Countries is a simple and lightweight package for retrieving country details with flexibility. A whole bunch of data including name, demonym, capital, iso codes, dialling codes, geo data, currencies, flags, emoji, and other attributes for all 250 countries worldwide at your fingertips.

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Measure the sentiment around a word, name, sentence or hashtag using social networks.

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Dépôt de gestion de la configuration de IGNF/validator pour la validation des standards CNIG au niveau du Géoportail de l'Urbanisme (GpU).

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The named router for Hyperf HTTP server package.

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A Naive Bayesian classification library for PHP with support for different tokenizers to optimize string classification.

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