Libraries tagged by address
larasecure/ip-blocker
457 Downloads
Restrict access to the web by preventing IP Addresses
kristuff/abuseipdb-cli
161 Downloads
A CLI tool to check/report IP addresses, download blacklist with AbuseIPDB API V2
kitzberger/rte-ckeditor-automails
4609 Downloads
TYPO3 CKEditor Rich Text Editor: Auto-link mail addresses
kimromi/jp_zip_code
9939 Downloads
convert from zip-code to japan address (include Roman address)
jrrdnx/craft-ip-restrictor
605 Downloads
Restrict what IP addresses can access the Craft control panel and front-end
jonnitto/maps
1626 Downloads
Maps integration for Neos CMS. Stadiamaps, Protomaps, Openstreetmaps or GoogleMaps. Live preview. Multiple addresses.
jeffersongoncalves/filament-cep-field
5 Downloads
The Filament CEP Field is a custom input component designed specifically for Brazilian postal codes (CEP - Código de Endereçamento Postal). This component extends Filament's form capabilities by providing a specialized input field that handles CEP formatting, validation, and automatic address lookup.
ivqonsanada/laravel-abuse-ip
540 Downloads
Fork Repo - Block ip address of all spammer's around the world.
ip2location/ip2location-piwik
133 Downloads
Use IP2Location geolocation database to lookup for accurate visitor location in Matomo. It enables the user to find the country, region, city, coordinates, zip code, time zone, ISP, domain name, connection type, area code, weather, MCC, MNC, mobile brand name, elevation and usage type that any IP address or hostname originates from. http://www.ip2location.com
ip2location/ip2location-php-api
624 Downloads
PHP module to geolocate the country, region, city, coordinates, zip code, ISP, domain name, timezone, connection speed, IDD code, area code, weather station code, weather station name, MCC, MNC, mobile brand name, elevation and usage type that any IP address or host name originates from.
innocode-digital/wp-mailgun-email-validation
12758 Downloads
Validates email address through Mailgun.
inda-hr/php_sdk
857 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.
iaasen/geonorge
255 Downloads
REST-based access to Geonorge address API. The Norwegian public registry of addresses
hiz-grup/ai-email-suggest
1202 Downloads
This package helps user to fix typos in email addresses by using openai api to suggest a valid email address.
hejunjie/tools
1810 Downloads
A PHP utility library that encapsulates commonly used operations for strings, arrays, files, network requests, image processing, and various helper functions (such as phone carrier lookup and ID-based address resolution) frequently encountered in daily development. More features are being continuously added...