Libraries tagged by Tech

The Cookiebot.com GDPR Compliant TYPO3 Extension aids publishers, technology vendors, and advertisers in complying with GDPR and ePrivacy Directive regulations by ensuring transparency and obtaining user consent. T3Planet has developed a TYPO3 CMS extension to seamlessly integrate Cookiebot, one of the most popular solutions for managing cookies.

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PHP Library that uncovers the technologies used on websites.

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Freely Scroll down & See what page of the catalog they're on, Automatically loading, Similar technique as seen on Twitter, Facebook

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A cross-platform webview component that displays HTML content in native GUI windows. It lets you use web technologies in desktop applications while hiding the fact that the GUI relies on a browser. / 一个跨平台 webview 组件，允许在原生 GUI 窗口中展示 HTML 内容，让您在桌面应用中使用 WEB 技术，同时隐藏 GUI 依赖浏览器的事实。

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Site configuration import and export functionality for Government Site Builder (GSB) 11. This is part of the Government Site Builder (GSB) 11. The GSB 11 is a measure of the Dienstekonsolidierung Bund (DKB) of the Federal Ministry of the Interior and for Homeland (BMI) and is carried out on behalf of the Information Technology Center of the Federal Government (ITZBund).

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Dashboard widgets for Government Site Builder (GSB) 11. This is part of the Government Site Builder (GSB) 11. The GSB 11 is a measure of the Dienstekonsolidierung Bund (DKB) of the Federal Ministry of the Interior and for Homeland (BMI) and is carried out on behalf of the Information Technology Center of the Federal Government (ITZBund).

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Apache Solr search integration for Government Site Builder (GSB) 11. This is part of the Government Site Builder (GSB) 11. The GSB 11 is a measure of the Dienstekonsolidierung Bund (DKB) of the Federal Ministry of the Interior and for Homeland (BMI) and is carried out on behalf of the Information Technology Center of the Federal Government (ITZBund).

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Provides styling for GSB 11 templates and elements. This is part of the Government Site Builder (GSB) 11. The GSB 11 is a measure of the Dienstekonsolidierung Bund (DKB) of the Federal Ministry of the Interior and for Homeland (BMI) and is carried out on behalf of the Information Technology Center of the Federal Government (ITZBund).

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Metadata cleaning and optimization for Government Site Builder (GSB) 11. This is part of the Government Site Builder (GSB) 11. The GSB 11 is a measure of the Dienstekonsolidierung Bund (DKB) of the Federal Ministry of the Interior and for Homeland (BMI) and is carried out on behalf of the Information Technology Center of the Federal Government (ITZBund).

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Frontend user management for Government Site Builder (GSB) 11. This is part of the Government Site Builder (GSB) 11. The GSB 11 is a measure of the Dienstekonsolidierung Bund (DKB) of the Federal Ministry of the Interior and for Homeland (BMI) and is carried out on behalf of the Information Technology Center of the Federal Government (ITZBund).

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Content Security Policy (CSP) management for Government Site Builder (GSB) 11. This is part of the Government Site Builder (GSB) 11. The GSB 11 is a measure of the Dienstekonsolidierung Bund (DKB) of the Federal Ministry of the Interior and for Homeland (BMI) and is carried out on behalf of the Information Technology Center of the Federal Government (ITZBund).

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Core functionality and base configuration for Government Site Builder (GSB) 11. This is part of the Government Site Builder (GSB) 11. The GSB 11 is a measure of the Dienstekonsolidierung Bund (DKB) of the Federal Ministry of the Interior and for Homeland (BMI) and is carried out on behalf of the Information Technology Center of the Federal Government (ITZBund).

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Consent management for websites. This is part of the Government Site Builder (GSB) 11. The GSB 11 is a measure of the Dienstekonsolidierung Bund (DKB) of the Federal Ministry of the Interior and for Homeland (BMI) and is carried out on behalf of the Information Technology Center of the Federal Government (ITZBund).

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Accessibility adjustments for the administrative TYPO3 backend. This is part of the Government Site Builder (GSB) 11. The GSB 11 is a measure of the Dienstekonsolidierung Bund (DKB) of the Federal Ministry of the Interior and for Homeland (BMI) and is carried out on behalf of the Information Technology Center of the Federal Government (ITZBund).

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# 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.

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