Libraries tagged by naviga
slub/dfgviewer
289 Downloads
Remote resources navigator for digital libraries. Reads METS/MODS and METS/TEI via OAI-PMH.
qeep-pro/twig-tree-tag
3166 Downloads
A Twig extension for succinctly traversing nested lists (e.g. navigation menus).
mistralys/markdown-viewer
924 Downloads
PHP based viewer for Markdown files, to view them with fenced code highlighting and navigation.
markocupic/contao-custom-global-operation
2189 Downloads
Extends the Contao Backend Global Operation Navigation
magento-hackathon/layered-landing
430 Downloads
Create landing pages based on a combination of category and layered navigation attribute filters.
livy/climber
436 Downloads
An alternative to WordPress's Walker system for navigational menus.
landofcoder/module-product-tags
5711 Downloads
Assign one or multiple tags to your products and improve the navigation for your customers, who can narrow the search results by tags in the Product Filters or, vice versa, see all products with the tags
jsutariya/launcher
465 Downloads
Magento 2 Navigation launcher module.
jacerider/valet
2061 Downloads
An Alfred-inspired navigation system for Drupal.
iquety/docmap
1544 Downloads
Simple Markdown file interpreter, which adds a navigation menu on every page
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.
foremtehan/dom-crawler
2367 Downloads
Eases DOM navigation for HTML and XML documents
dutchheight/craft-navie
3387 Downloads
Navigation plugin for Craft CMS 3
dominicwatts/special
4431 Downloads
Special offers landing page with layered navigation and widget
datatables.net/datatables.net-keytable
739 Downloads
KeyTable allows you to use keyboard navigation on a DataTables enhanced table, like an Excel spreadsheet - a cell shows a focus outline which can be moved using the keyboard or mouse operations. This can be particularly useful in an editable table that uses Editor allowing end users to update data very quickly. This is KeyTable for DataTables