Libraries tagged by note
mouf/html.widgets.menu
237448 Downloads
This package contains objects describing a menu of an application. The menu is described, but this package does not render the menu in any way. You will have to use another package to render the menu in HTML. Usually, templates will provide their own menu renderers.
marshmallow/translatable
11794 Downloads
Add translation to your Nova Resources. The translations will be stored in a translatables table and not in a JSON format in your existing tables as many packages out there do.
macroactive/laravel-psalm
13989 Downloads
Psalm integration with Laravel. Do not cover Facades. Relatively simple integration
loophp/unaltered-psr-http-message-bridge-bundle
16988 Downloads
A drop-in replacement for symfony/psr-http-message-bridge, that does not alter query parameters.
listennotes/podcast-api
4268 Downloads
PHP bindings for the Listen Notes Podcast API
lasserafn/csv-reader
25671 Downloads
A minimal League/CSV wrapper. Gives the powerful CSV tool an acceptable API. Very opinionated. Used for own projects, so might not fit your case. Just use League/csv.
landofcoder/module-product-reviews
4216 Downloads
Knowing the importance of boosting the customers trust to stores via reviews, we developed Magento 2 Product Reviews Extension to boost your business to the new level. The extension gives customers an allowance to post images, rate the review helpful or not, and filter needed reviews to meet their demands.
kalibora/real-temporary-file
51560 Downloads
A real temporary file (not in memory). And temporary directory.
jcchavezs/cmb2-conditionals
6739 Downloads
CMB2 Conditionals is a plugin for CMB2 which allows developers to relate fields so one of them could only appear when one other have an specific value or when is not empty.
j6s/flow-apcu-with-fallback
23298 Downloads
Package that provides an APCu cache backend that falls back to a given fallback if the APCu extension is not installed.
inda-hr/php_sdk
498 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.
ideatocode/nova-tooltip-field
12951 Downloads
A Laravel Nova field to show additional data but not clutter the table.
hydrat-agency/laravel-2fa
497 Downloads
This package allow you to enable two-factor authentication in your Laravel applications. It stores tokens locally and notify users about their token via mail, SMS or any custom channel. Includes native conditionnal check to trigger or not 2FA, using known devices, IP addresses or IP locations.
fof/components
38704 Downloads
[NOT EXT] Reusable JavaScript components for your Flarum extension
faonni/module-breadcrumbs
11870 Downloads
Extension add breadcrumbs to pages in Magento 2 that by default do not have breadcrumbs.