Libraries tagged by php Slug
milesasylum/slurp
103804 Downloads
A simple PHP ETL tool with validation of source data.
tuck/sort
44351 Downloads
Syntactic sugar for PHP's sorting
hetao29/slightphp
499 Downloads
SlightPHP PHP FrameWork
sugarcrm/php-rest-client-v2
11725 Downloads
An SDK for interacting with Sugar's REST v10 API.
slub/php-mods-reader
7326 Downloads
Read MODS metadata into PHP objects that offer some convenient data extraction methods
sugarcrm-developers/php-rest-client
409 Downloads
An SDK for interacting with Sugar's REST v10+ API.
shuble/slurpy
46118 Downloads
php wrapper for pdftk commandline tool, and pdf form filler
paypaplane/svix-client
14273 Downloads
Welcome to the Svix API documentation! Useful links: [Homepage](https://www.svix.com) | [Support email](mailto:[email protected]) | [Blog](https://www.svix.com/blog/) | [Slack Community](https://www.svix.com/slack/) # Introduction This is the reference documentation and schemas for the [Svix webhook service](https://www.svix.com) API. For tutorials and other documentation please refer to [the documentation](https://docs.svix.com). ## Main concepts In Svix you have four important entities you will be interacting with: - `messages`: these are the webhooks being sent. They can have contents and a few other properties. - `application`: this is where `messages` are sent to. Usually you want to create one application for each user on your platform. - `endpoint`: endpoints are the URLs messages will be sent to. Each application can have multiple `endpoints` and each message sent to that application will be sent to all of them (unless they are not subscribed to the sent event type). - `event-type`: event types are identifiers denoting the type of the message being sent. Event types are primarily used to decide which events are sent to which endpoint. ## Authentication Get your authentication token (`AUTH_TOKEN`) from the [Svix dashboard](https://dashboard.svix.com) and use it as part of the `Authorization` header as such: `Authorization: Bearer ${AUTH_TOKEN}`. For more information on authentication, please refer to the [authentication token docs](https://docs.svix.com/api-keys). ## Code samples The code samples assume you already have the respective libraries installed and you know how to use them. For the latest information on how to do that, please refer to [the documentation](https://docs.svix.com/). ## Idempotency Svix supports [idempotency](https://en.wikipedia.org/wiki/Idempotence) for safely retrying requests without accidentally performing the same operation twice. This is useful when an API call is disrupted in transit and you do not receive a response. To perform an idempotent request, pass the idempotency key in the `Idempotency-Key` header to the request. The idempotency key should be a unique value generated by the client. You can create the key in however way you like, though we suggest using UUID v4, or any other string with enough entropy to avoid collisions. Svix's idempotency works by saving the resulting status code and body of the first request made for any given idempotency key for any successful request. Subsequent requests with the same key return the same result. Please note that idempotency is only supported for `POST` requests. ## Cross-Origin Resource Sharing This API features Cross-Origin Resource Sharing (CORS) implemented in compliance with [W3C spec](https://www.w3.org/TR/cors/). And that allows cross-domain communication from the browser. All responses have a wildcard same-origin which makes them completely public and accessible to everyone, including any code on any site.
magdv/dadata
16701 Downloads
Data cleansing, enrichment and suggestions via Dadata API
macfja/redisearch-integration
13673 Downloads
Helper tools to integrate RediSearch in PHP project
wowworks/geocoder-php-dadata-provider
18281 Downloads
Integration with Dadata suggestions API.
inda-hr/php_sdk
822 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.
thedoctor0/psonic
56 Downloads
PHP client for Sonic Search Engine
alexbklnv/laravel-dadata
1879 Downloads
Laravel DaData API
nervsys/ns
9 Downloads
A very slight PHP framework, very easy to use and integrate.