Libraries tagged by nofw
entanet/rest-now
2214 Downloads
A simple service-now rest client
tronet/trosofortueberweisung
7469 Downloads
This is the Sofort.-module for OXID eShop.
mediamotionag/contao-dev-bundle
2867 Downloads
Development Settings Bundle
mage2pro/klarna
386 Downloads
Klarna integration with Magento 2
kuria/clock
7888 Downloads
Provides access to current date and time that can be mocked for testing purposes
juicyfx/juicy
11634 Downloads
🐘 PHP client for serverless juicy functions
pay-now/omnipay-paynow
1701 Downloads
Paynow gateway for Omnipay payment processing library
now-here/laravel-gettext
10535 Downloads
Adds localization support to laravel applications in an easy way using Poedit and GNU gettext.
noflash/function_injector
17433 Downloads
Add dynamic functions to any namespace (and replace global ones)
tool4/laravel-eloquent-query-cache
302 Downloads
Adding cache on your Laravel Eloquent queries' results is now a breeze.
silverstripe-labs/googleanalytics
10016 Downloads
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.
lerni/folderindex
1126 Downloads
Silverstripe Extension to send noindex, nofollow for files in foldes that do not ShowInSearch.
j3dyy/rs-integration-wrapper
142 Downloads
rs.ge integration services project now is under development
inda-hr/php_sdk
412 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.
imponeer/smarty-includeq
19523 Downloads
Rewritten smarty 'include' variant that was invented for use in XOOPS, but nowadays is used in some other PHP based CMS'es