Libraries tagged by other

Store your language lines in the database, yaml or other sources

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Jasper report base on jaspersoft rest server in to the Laravel or any other php based application.

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Smart Seeder adds the same methology to seeding that is currently used with migrations in order to let you seed in batches, seed to production databases or other environments, and to rerun seeds without wiping out your data.

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module for a jelix application providing an admin interface made with the AdminLte theme. Other theme can be made

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This Laravel package offers a straightforward way to integrate Meta (Facebook) Pixel into your application. By configuring your Pixel ID, you can effortlessly track user interactions, page views, conversions, and other valuable events on your website. This helps you gather insights into your audience behavior and optimize your advertising campaigns. The package simplifies the process of adding the Pixel script to your Blade templates, enabling seamless analytics collection with minimal setup.

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Contract / Interfaces used by other packages and DDD projects

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A WordPress plugin to catalog all your tabletop (or other) games in your WordPress site and display a list of games in your collection.

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Reusable filters, resources and other API tools.

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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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Rewritten smarty 'include' variant that was invented for use in XOOPS, but nowadays is used in some other PHP based CMS'es

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Rewritten Smarty foreach variant that was invented for use in xoops, but nowadays is used in some other PHP based CMS'es

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A simple way to create the files for my bundles and some other things

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A formatting library that converts data output between XML, CSV, JSON, TXT, YAML and a few others.

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Implementation of PSR-11 Container, it is lightweight yet powerful. Feature such as Lazy Factory, Factory, Optinal Share of Services, Array Access and other it can be very versatile.

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