Libraries tagged by agi

atk4/atk4

188 Favers
14791 Downloads

Agile UI - User Interface Component Library

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twint-ag/twint-magento-extension

2 Favers
4963 Downloads

TWINT payment extension for Magento 2

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twint-ag/sdk

2 Favers
12295 Downloads

PHP SDK for TWINT

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twint-ag/psl-compat

0 Favers
5889 Downloads

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helios-ag/fm-summernote-bundle

8 Favers
32162 Downloads

Summernote bundle, adds Summernote WYSIWYG editor to your Symfony project

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aginev/login-activity

7 Favers
14090 Downloads

Track users login activity for Laravel 5

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agielks/yii2-log-json

0 Favers
13727 Downloads

Convert your yii2 application logs as json and save it to file, redis, or logstash

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codebar-ag/filament-json-field

11 Favers
8483 Downloads

A Laravel Filament JSON Field integration with CodeMirror support

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yxx/laravel-quick

14 Favers
5892 Downloads

agile development

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vortos/vortos-secrets

0 Favers
2171 Downloads

Vortos Secrets — billion-dollar-grade secrets management: redact-by-construction values, envelope encryption (XChaCha20-Poly1305 payload + off-host age/X25519 key custody), two-phase rotation with grace windows, fail-closed CI/doctor preflight, and zero-standing-secret injection. Built on the OpsKit driver pattern.

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virgil/sdk

10 Favers
18597 Downloads

Virgil is a stack of security libraries (ECIES with Crypto Agility wrapped in Virgil Cryptogram) and all the necessary infrastructure to enable seamless, end-to-end encryption for any application, platform or device. See below for currently available languages and platforms. Get in touch with us to get preview access to our key infrastructure.

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proudcommerce/psagegate

2 Favers
2569 Downloads

Shows an age gate when customer enters the shop.

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phattarachai/db-snapshot-sync-laravel

0 Favers
741 Downloads

Rebuild a Laravel dev database from production in one command — driver-aware dump sanitizer, sync orchestrator, token-protected internal snapshot API — plus off-site backup with age-based retention and restore drills. Extends spatie/laravel-db-snapshots.

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inda-hr/php_sdk

6 Favers
1428 Downloads

# 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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eram/abzar

0 Favers
1855 Downloads

Zero-runtime-dependency Persian (Farsi) toolkit for PHP 8.1+: validators for national ID, legal ID, bank card, Sheba/IBAN, phone, postal code, bill ID and license plate; Toman/Rial money with an Amount value object; formatters (number to words and back, ordinals, time-ago); text tools (slug, script detection, character normalization, ZWNJ half-space, keyboard-layout fix) and digit conversion.

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