Allow parsing of object rest/spread
Compile object rest and spread to ES5
Octokit plugin adding one method for all of api.github.com REST API endpoints
Workaround a Safari bug where rest destructuring with an array literal on the rhs can yield incorrect results
Shared TypeScript definitions for Octokit projects
The official TypeScript library for the Cerebras API
Node Rest and Http Clients for use with TypeScript
Extendable client for GitHub's REST & GraphQL APIs
GitHub REST API client for Node.js
Octokit plugin to paginate REST API endpoint responses
RPC-like experience over a regular REST API, with type safe server implementations 🪄
Core HTTP Compatibility Library to bridge the gap between Core V1 & V2 packages.
The REST API for discord.js
Octokit plugin for GitHub Enterprise REST APIs
A 4kb framework for creating sturdy frontend applications
Cross Platform implementation of the GitLab API
Core library for interfacing with Azure Rest Clients
Send parameterized requests to GitHub's APIs with sensible defaults in browsers and Node
Handle values based on a property
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Typings for the Figma REST API
ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting
Isomorphic client Runtime for Typescript/node.js/browser javascript client libraries generated using AutoRest
Allow parsing of object rest/spread
Provides a transport to communicate easily with RESTful APIs.
This is the simple REST client for AI Platform Training & Prediction API V1. Simple REST clients are Ruby client libraries that provide access to Google services via their HTTP REST API endpoints. These libraries are generated and updated automatically based on the discovery documents published by the service, and they handle most concerns such as authentication, pagination, retry, timeouts, and logging. You can use this client to access the AI Platform Training & Prediction API, but note that some services may provide a separate modern client that is easier to use.
A Train plugin that allows Inspec to call the F5 REST API
Ruby client for the spaCy Cloud API. spaCy Cloud serves all the spaCy pre-trained models, and your own custom models, through a RESTful API ready for production. More details here: https://spacycloud.io. Documentation: https://docs.spacycloud.io.
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, speech synthesis, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the Ruby client for the API. More details here: https://nlpcloud.com. Documentation: https://docs.nlpcloud.com.