Search Results for "network fast"

...Maestro embraces the instability of mobile applications and devices and tries to counter it. Built-in tolerance to delays. No need to pepper your tests with sleep() calls. Maestro knows that it might take time to load the content (i.e. over the network) and automatically waits for it (but no longer than required). Blazingly fast iteration. Tests are interpreted, no need to compile anything. Maestro is able to continuously monitor your test files and rerun them as they change.

IceCubesApp is an open source application for accessing the decentralized social network Mastodon! It's built entirely in SwiftUI, making it fast, lightweight, and easy to use. You can connect to any Mastodon instance and browse your timeline, interact with other users, and post updates and media. The project is split into different Swift Packages to make it easier to manage and maintain the codebase. Each package is focused on a specific aspect of the application, such as the UI, network communication, or data models. ...

CocoaLumberjack is a fast & simple, yet powerful & flexible logging framework for macOS, iOS, tvOS and watchOS. First, install CocoaLumberjack via CocoaPods, Carthage, Swift Package Manager or manually. Then use DDOSLogger for iOS 10 and later, or DDTTYLogger and DDASLLogger for earlier versions to begin logging messages. Carthage is a lightweight dependency manager for Swift and Objective-C. It leverages CocoaTouch modules and is less invasive than CocoaPods. As of CocoaLumberjack 3.6.0,...

Erlava is a hobby programming language focusing on building applications fast and easily while still intergrating with the JVM. Erlava aims to provide developers with a versatile and efficient tool for crafting high-quality software.

Bender allows you to easily define and run neural networks on your iOS apps, it uses Apple’s MetalPerformanceShaders under the hood. Bender provides the ease of use of CoreML with the flexibility of a modern ML framework. Bender allows you to run trained models, you can use Tensorflow, Keras, Caffe, the choice is yours. Either freeze the graph or export the weights to files. You can import a frozen graph directly from supported platforms or re-define the network structure and load the...