Elegant HTTP Networking in Swift
- networking
- urlsession
- urlrequest
- httpurlresponse
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UILabel drop-in replacement supporting Hashtags (#), Mentions (@) and URLs (http://) written in Swift
- uilabel
- swift
- activelabel
A lightweight, one line setup, iOS / OSX network debugging library! 🦊
- networking
- debugging
- urlsession
- urlrequest
A set of cool animated page controls written in Swift to replace boring UIPageControl. Mady by @ChiliLabs - https://chililabs.io
- swift
- swift3
- pagecontrol
- ios
iOS network debugging, like a wizard 🧙♂️
Animated "Pull To Refresh" Library for UIScrollView. Inspired by https://dribbble.com/shots/1797373-Pull-Down-To-Refresh
- library
- animation
- ios
RxSwift wrapper around the elegant HTTP networking in Swift Alamofire
- rxswift
- alamofire
- networking
Capture HTTP/HTTPS, and Websocket from iOS app without proxy.
- proxyman
- ios
- maninthemiddle
- swizzle
This is a selection of custom page controls to replace UIPageControl, inspired by a dribbble found here: https://dribbble.com/shots/2578447-Page-Control-Indicator-Transitions-Collection
🏇 A Swift HTTP / HTTPS networking library just incidentally execute on machines
App for developers to test REST API.
⚠️ Deprecated - (in favour of Networking) :cloud: Elegantly connect to a JSON api. (Alamofire + Promises + JSON Parsing)
- networking
- http
- swift
- json
macOS menu-bar app for fine-grained VPN routing: bypass the VPN for chosen domains/services, force others through it, or (Custom mode) route each domain/subnet out a specific egress — direct, a specific VPN, an HTTP/SOCKS5 proxy, or a Tailscale peer. Includes a vpnb CLI.
- macos
- menu-bar-app
- networking
- split-tunneling
📡 GoodNetworking is an iOS library written in Swift that simplifies HTTP networking by using GRSession and Encodable/DataRequest extensions. It supports latest Swift and all iOS devices, making it a powerful solution for managing network interactions and data encoding/decoding. The library is easy to install with SPM.
- ios
- library
- swift
CoreML Project that predicts the most likely next chord based on the entered Chord Progression. This project is based on the following AI Model project and article https://medium.com/@huanlui/chordsuggester-i-3a1261d4ea9e