Libraries tagged by sections
markocupic/sac-event-tool-bundle
2369 Downloads
Contao Event-Tool Bundle for SAC (Swiss Alpine Club Sections)
localgovdrupal/localgov_content_access_control
942 Downloads
Creates access control mechanisms so specific editors can only edit specific sections of the website.
kasparsd/widget-context
208 Downloads
WordPress plugin for showing or hiding widgets on specific posts, pages and sections of a site.
instrumentisto/composer-platform-generator
8715 Downloads
Generates config.platform section for composer.json
inda-hr/php_sdk
411 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.
hounddd/wn-blocks-theme
158 Downloads
Winter CMS theme that demonstrates the use of repeater groups to assemble static pages with customizable building sections and blocks.
femundfilou/kirby-render-layouts
567 Downloads
Snippet to use layouts with simple section + column structure.
ecnu-im/sticky-sidenav
1394 Downloads
Make the sidenav section sticky and scrollable. Also support hot-discussions widget.
dpc-sdp/tide_authenticated_content
34544 Downloads
Allows content administrators to protect pages and sections with user authentication
confluxgroup/craft-level-entry-types
10363 Downloads
Allows developers to limit the entry types available at each level of a structure section.
chrometoaster/ga-gtm-singlefield
6033 Downloads
Adds single field to CMS settings section to hold GA or GTM code. Template snippets need to be inserted to theme templates manually.
cevinio/production-dependencies-guard
2466 Downloads
Prevents adding of development packages into require-section (should be require-dev).
roncemer/phpreportgen
2296 Downloads
HTML, CSV, TSV, XLS, PDF reporting package, with nested sections and totaling
maxxscho/laravel-markdown-plus
166 Downloads
A simple Laravel Markdown Parser with an optional meta section in the .md file
tomatophp/tomato-sections-module
216 Downloads
Sections For Tomato Themes To build any app with Theme Builder