Libraries tagged by sugi
kerasai/behat-tokenizer
20144 Downloads
Token replacement for Behat test suite.
karen_he/avataxclient
1455 Downloads
Client library for Avalara's AvaTax suite of business tax calculation and processing services. Uses the REST v2 API. Updated to use Guzzle 7 for Laravel compatibility.
jp10/maileva-simple-sdk
2574 Downloads
API pour envoyer et suivre des courriers postaux. Elle comprend les fonctions clés pour : - créer un envoi, - ajouter des documents et des destinataires, - choisir ses options, - suivre la production. Pour connaitre les notifications (webhooks) concernées par cette API, consultez la documentation de l'API notification_center.
jp10/maileva-registered-sdk
2123 Downloads
API pour envoyer et suivre des Lettres Recommandées En Ligne distribuées par le facteur. Elle comprend les fonctions clés pour : - créer un envoi, - ajouter des documents et des destinataires, - choisir ses options, - suivre la production. Pour connaitre les notifications (webhooks) concernées par cette API, consultez la documentation de l'API notification_center.
jacerider/sync
1510 Downloads
Data migration and API integration suite.
inda-hr/php_sdk
803 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.
ifaqih/iffuzzy
782 Downloads
Fuzzy Logic library for PHP based on the Mamdani, Sugeno or Tsukamoto methods.
hejunjie/mobile-locator
75 Downloads
A mobile number lookup library based on Chinese carrier rules. Identifies carriers and regions, suitable for registration checks, user profiling, and data archiving.
heavymetalavo/craft-aialttext
94 Downloads
Generate suitable alt text for CraftCMS Asset Images
gsferro/powermodel
435 Downloads
Forma elegante e eficiente de formatar campos de data, hora e afins ao exibir, colocando somente um sufixo no nome original do atributo sem precisar declarar Accessors e/ou Mutators dentro da model
goodgay/huaweiobs
3204 Downloads
Object Storage Service (OBS) provides massive, secure, highly reliable, and low-cost data storage capabilities, allowing users to store data of any type and size. It is suitable for various data storage scenarios such as enterprise backup/archiving, video on demand, and video surveillance.
gally/gally-sample-data
606 Downloads
Sample data for the Open Source E-Commerce Searchandising Suite
fond-of-spryker/google-custom-search
19193 Downloads
Implements Google Search into the Spryker Suite
faaizz/pin_generator
971 Downloads
A Laravel package to generate and emit PINs (personal identification numbers), suitable for use with cash cards, door locks, etc.
esimonetti/toothpaste
1009 Downloads
CLI utility to analyse, optimise and provide additional functionality to your Sugar system