Libraries tagged by working grid

kepex/laravel-crud-generator

102 Favers
15356 Downloads

php artisan command to generate fully working crud with grid paginated server side only by having database tables

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caio-brendo/yii2-dynamicgridform

3 Favers
736 Downloads

Dynamic Grid Form is a widget for the yii2 structure to add values to a grid. It is very useful for working with one-to-many data.

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hcomg/laravel-crud-generator

4 Favers
165 Downloads

php artisan command to generate fully working crud with grid paginated server side only by having database tables

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toolia/ham-dx

4 Favers
11 Downloads

A utility for working with the Maidenhead grid system

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eliepse/working-grid-pdf

0 Favers
112 Downloads

Library to easily create working grids and export them as PDF

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gpoehl/phpreport

2 Favers
27 Downloads

PHP library to create any reports or other applications working with grouped data.

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zmon/laravel-crud-generator-zmon

0 Favers
359 Downloads

php artisan command to generate fully working crud with grid paginated server side only by having database tables

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zeuz113/laravel-crud-generator

0 Favers
52 Downloads

php artisan command to generate fully working crud with grid paginated server side only by having database tables - forked from kEpEx/laravel-crud-generator

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g/crud-generator

0 Favers
14 Downloads

php artisan command to generate fully working crud with grid paginated server side only by having database tables

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datasmart/laravel-crud-generator

0 Favers
17 Downloads

php artisan command to generate fully working crud with a paginated grid only by having database tables

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ramsey/uuid

12698 Favers
522784311 Downloads

A PHP library for generating and working with universally unique identifiers (UUIDs).

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projectcleverweb/color

24 Favers
502581 Downloads

This is a stand-alone PHP 7 (and PHP 5!) library for working with RGB, HSL, HSB/HSV, Hexadecimal, and CMYK colors. Create schemes, modify specific color properties, easily convert between color spaces, create gradients, and make color suggestions quickly and easily.

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inda-hr/php_sdk

6 Favers
577 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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ramsey/identifier

42 Favers
84 Downloads

A PHP library for generating and working with identifiers, including UUIDs, ULIDs, and Snowflakes

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rekalogika/api-lite

3 Favers
1047 Downloads

A set of tools to simplify working with API Platform in your projects. Comes with guides, patterns, and practical examples for building API Platform-based projects.

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