Libraries tagged by expertise
rapidez/magento2-compadre
503 Downloads
Some Magento code to improve the Rapidez experience
r4j4h/php-druid-query
13476 Downloads
Experimental PHP wrapper around querying druid
panopoly/panopoly
11712 Downloads
Panopoly is a powerful Drupal base-distribution with a powerful editorial experience
nitsan/ns-t3ai
212 Downloads
Meet T3AI- Experience AI-powered Models with ChatGPT, Gemini, Cloude & Azure AI for content generation, advanced SEO optimization, creative media production, easy language translation, and more—all within a few clicks, directly from your TYPO3 backend. Maximize your productivity by saving up to four times your time with T3AI.
nitsan/ns-guestbook
1274 Downloads
TYPO3 Guestbook Extension easily integrates all the features of a guestbook, including a review form with email sending functionality. This TYPO3 guestbook plugin also includes spam protection and numerous customization options. Guests can share their reviews, ratings, and contact details, as well as personal experiences, through this Guestbook TYPO3 Extension.
nitsan/ns-comments
1158 Downloads
The TYPO3 Comment Extension simplifies the process for visitors to leave comments on your website's published pages. It utilizes nested comments to create a user-friendly experience. Admins receive email notifications, allowing them to easily manage comments either through email or the backend.
maestroerror/statamic-magic-import
697 Downloads
Seamless, magical import experience for Statamic
macropage/sdk-ebay-rest-browse
2722 Downloads
The Browse API has the following resources: item_summary: Lets shoppers search for specific items by keyword, GTIN, category, charity, product, or item aspects and refine the results by using filters. (Experimental) search_by_image: Lets shoppers search for specific items by image. You can refine the results by using URI parameters and filters. item: Lets you retrieve the details of a specific item or all the items in an item group, which is an item with variations such as color and size. This resource also provides a bridge between the eBay legacy APIs, such as Trading and Finding, and the RESTful APIs, such as Browse, which use different formats for the item IDs. You can use the Browse API to retrieve the basic details of the item and the RESTful item ID using a legacy item ID. (Experimental) shopping_cart: Provides the ability for eBay members to see the contents of their eBay cart, and add, remove, and change the quantity of items in their eBay cart. *Note:* This resource is not available in the eBay API Explorer. The item_summary, search_by_image, and item resource calls require an Application access token. The shopping_cart resource calls require a User access token.
lanfix/aspect-mock
151008 Downloads
Experimental Mocking Framework powered by Aspects
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.
harlan-zw/laravel-modern-mail
3836 Downloads
Extends the Laravel mail experience.
fusioncms/fusioncms
331 Downloads
Create bespoke website experiences.
fourkitchens/sous-admin
170 Downloads
A recipe that contains modules, themes, and configuration for the Sous administration experience.
erag/installererag
116 Downloads
Laravel Installer: Simplifies Laravel application installation for a seamless setup experience. Requires PHP 8.0.0+
dentzau/drupal-utilities
2542 Downloads
A collection of developer experience improvements for Drupal by Nathan Dentzau.