Libraries tagged by further

A PHP SDK wrapper for fgo.ro API.

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Exponential 6. Maintained by 7x. For General Use With PHP 8.1 through 8.4.x+. Further feature releases in development. Please sponsor our work on the Exponential (CMS System). This is capable of being used standalone or combined with Ibexa OSS

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This is a fork of the original package Orangehill/Iseed by Tihomir Opacic ([email protected]) and further forked by Szobonya Csaba([email protected]). Generate a new Laravel database seed file based on data from the existing database table.

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Advanced Magento 2 module for preventing additional discounts on already discounted products using a flexible, extensible strategy pattern. Provides out-of-the-box support for excluding products with special prices or catalog price rules from further discounting via shopping cart rules.

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Symfony bundle for further Monolog, Sentry and Graylog integration

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map routes from openapi spec into route objects helpful for further generation

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map data models from openapi spec into pattern objects helpful for further generation

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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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Simple job market based on Extbase and Fluid. Basically works like dmmjobcontrol. There are list and detail views available. In addition, it is possible to set up an online application system. Furthermore, FE-Users can be enabled to add and edit jobs in the frontend, so to BE-Administration is required. Feeds (Rss091, Rss2, Atom) are also available

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Code alongside a live preview rendered by Fusion. You can configure it further to use Javascript to preview or inject JS and styles via Fusion

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A library for importing emails into WordPress for further processing.

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Bare Bone Bootstrap5 D10 compatible to be further extended by nice people

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A loose collection of tools to further lock down a SilverStripe installation.

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Public API documentation for Zippendo. Authenticate using your API token (Bearer token prefixed with zipp_). **Brands (sub-accounts).** An organization can be split into brands, each keeping its own orders, shipments and configuration separate. There are two ways to scope requests to one brand, and NEITHER changes any request body: 1. **Bind the token.** Create an API token with a `brandId` and every request it makes is confined to that brand — reads filtered, writes stamped. This is the recommended way to give a single brand's team its own credential. 2. **Send the `X-Zippendo-Brand` header.** An organization-wide token can scope an individual request by sending the brand's id or slug in this header. Most SDKs let you set it once on the client so every call inherits it. A brand-bound token that receives an `X-Zippendo-Brand` header naming a different brand is rejected with `403 BRAND_ACCESS_DENIED` — the binding is never widened. Omit both and requests cover the whole organization, which is the behaviour of every existing token. Records that belong to no brand carry `brandId: null`. Configuration (carriers, shipping rules, addresses) with a null brand is organization-wide and remains visible inside every brand; orders and shipments with a null brand are only visible organization-wide. List endpoints additionally take a `?brandScope=own|shared|both` parameter to narrow further within whichever brand context already applies. `own` returns only rows assigned to that brand, and requires a brand context — a brand-bound token, a resolved brand session, or the `X-Zippendo-Brand` header above — otherwise `400`. `shared` returns only the organization-wide rows (equivalent to filtering `brandId=none`). The default, `both`, keeps the existing behaviour: a brand context sees its own rows plus the organization-wide ones. Set `X-Zippendo-Brand-Scope` as a client default to apply the same choice to every request instead of repeating the query parameter on each call — an explicit `brandScope` query parameter always wins over the header, and a blank header value is ignored. Brands themselves are managed under the **Brands** tag. Retiring a brand is done with `POST /orgs/{orgId}/brands/{brandId}/archive` — permanent deletion is a dashboard-only action, since it is refused while any order, shipment, member or token still references the brand. Brands require a plan that includes them; creating one beyond your plan's limit returns `403`.

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Customers can tell you are 'special' during signup. The shop merchant then receives an email and can start further manual actions.

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