Libraries tagged by zone file

sunnysideup/dataobjectsorter

7 Favers
3384 Downloads

Silverstripe module with crud functionality: edit one field for one record, edit one record, edit one field for all records AND sort records...

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phpjuice/slopeone

86 Favers
8700 Downloads

PHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.

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primoz2500/hasoneautocompletefield

0 Favers
1862 Downloads

A CMS form field for adding has_one relationships using autocomplete

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superbig/craft-usergroupfield

8 Favers
13254 Downloads

Field type that let you select one or more user groups.

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tigo/recommendation

84 Favers
9424 Downloads

collaborative filtering recommender systems

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mintao/yii-behavior-sluggable

41 Favers
73663 Downloads

Make a unique url out of one or more db fields

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tookantech/chapaar

13 Favers
359 Downloads

This package provides a flexible way to send and verify messages through various SMS providers. It offers integration with multiple drivers, making it easy to use different SMS service providers without getting locked into a specific one.

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thucke/th-rating

3 Favers
7176 Downloads

Highly flexible AJAX rating based on extbase/fluid/jquery. Allows multiple ratings within one page. Could be used as a cObj by other extensions or included in every FLUID template using the viewhelper. Each ratingstep could be configured having a name - international localization included.

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teufels/tt3-career

0 Favers
560 Downloads

This extension allows you to create and manage job listings, featuring filtering, watchlist, detail view with optional application form or link to external one, and compatibility with Google for Jobs structured data.

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luezoid/laravel-core

11 Favers
2013 Downloads

A feature rich Laravel package which provides fast & flexible way to quickly build powerful RESTful APIs. Various other features like queries & filters over nested complex relationships between models can be done on the go using this package. Read the docs for more info.

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inda-hr/php_sdk

6 Favers
862 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.

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minhk/filament-login-multiauth

9 Favers
27 Downloads

Login With Email Or Username (In One Field)

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jankapusta/nova-boolean-multi-status-field

2 Favers
4893 Downloads

Laravel Nova custom field for showing multiple statuses within one field

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jeddsaliba/filament-one

9 Favers
42 Downloads

Filament One is a flexible starter kit for building scalable admin dashboards with essential features, security, and modern PHP practices for a smooth development experience.

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unite-cms/variants-field-bundle

3 Favers
3821 Downloads

Provides a field type for unite cms that allows to select one of different field group variants.

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