Search Results for "atom-project"
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Showing 10 open source projects for "atom-project"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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MacOS Auto Clicker
A simple auto clicker for macOS Big Sur, Monterey, Ventura, Sonoma
...Its main purpose is to simulate mouse clicks at defined intervals or locations, which can be useful for testing software interfaces, automating repetitive workflows, or assisting accessibility use cases. Because it is open source, developers can inspect or modify the code to adapt the click automation behavior to their own workflows. The project emphasizes ease of use and minimal configuration, allowing users to quickly start and stop automated clicking without complex setup. -
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PureMac
Free, open-source macOS cleaner
PureMac is a customization-focused project that enhances the macOS user experience by applying design tweaks, system optimizations, and interface improvements. It provides tools and configurations that allow users to modify the look and behavior of macOS to better suit their preferences. The project emphasizes minimalism, performance, and aesthetic consistency. It includes scripts and settings that adjust system elements without requiring deep system modification. -
3
MiddleDrag
Three-finger trackpad gestures for middle-click and middle-drag
MiddleDrag is a free, open-source macOS utility that enables middle-mouse button functionality using three-finger trackpad gestures, filling a longstanding gap for Mac users who rely on middle-click or drag interactions in many applications but don’t have a physical middle button. The app runs as a native menu bar application written in Swift, and it intercepts raw touch data using Apple’s private MultitouchSupport framework before the system gesture recognizer processes it, which allows... -
4
Reachability.swift
Replacement for Apple's Reachability re-written in Swift
Reachability.swift is a replacement for Apple's Reachability sample, re-written in Swift with closures. It is compatible with iOS (8.0 - 12.0), OSX (10.9 - 10.14) and tvOS (9.0 - 12.0). Just drop the Reachability.swift file into your project. That's it! The Swift Package Manager is a tool for automating the distribution of Swift code and is integrated into the swift compiler. You can integrate using Apple's Swift package manager from xcode. All closures are run on the main queue. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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5
Dinky
Dinky makes files smaller
...It focuses on usability, offering a minimal environment where developers can quickly test prompts, iterate on outputs, and refine workflows without complex setup. The project is built with simplicity in mind, making it easy to integrate into existing development processes or use as a standalone experimentation tool. It supports flexible configuration, allowing users to connect to different model providers and adjust parameters as needed. Dinky also emphasizes speed, enabling rapid iteration cycles that are essential for prompt engineering and prototyping. ... -
6
KeyboardKit
KeyboardKit is a Swift library that helps you build custom keyboard
...KeyboardKit is a Swift-based SDK that helps you build custom keyboard extensions with Swift and SwiftUI. It extends the native keyboard APIs and provides you with a lot of functionality. The KeyboardKit project is open-source and completely free. It's hosted at GitHub, which is where you find information, documentation, sample code, demo apps etc. KeyboardKit Pro is a license-based extension to KeyboardKit. It unlocks a bunch of pro features, like more locales, localized system keyboards, local and remote autocomplete etc. KeyboardKit comes with support for 50+ locales, with more being added over time. ... -
7
SwiftNIO
Network application framework for protocol servers and clients
SwiftNIO is a cross-platform asynchronous event-driven network application framework for rapid development of maintainable high performance protocol servers & clients. Low-level protocol implementations are often a collection of ChannelHandlers that implement a protocol but still require the user to have a good understanding of SwiftNIO. Often, low-level protocol implementations will then be wrapped in high-level libraries with a nicer, more user-friendly API. High-level implementations are... -
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SwiftTreeSitter
Swift API for the tree-sitter incremental parsing system
...The SwiftTreeSitter target is a close match to the C runtime API. It adds only a few additional types to help support querying. It is fairly low-level, and there will be significant work to use it in a real project. SwiftTreeSitterLayer is an abstraction built on top of SwiftTreeSitter. It supports documents with nested languages and transparent querying across those nestings. It also supports asynchronous language resolution. While still low-level, SwiftTreeSitterLayer is easier to work with while also supporting more features. -
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Bagel
A little native network debugging tool for iOS
...Most basic usage is to start Bagel iOS before any network operation. Since Bagel exposes every request info to the public it would be better if you disable it for the store versions. By default, Bagel gets your project name and device information. The desktop client uses this information to separate projects and devices. You can configure these if you wish. Bagel framework communicates with the desktop client by using Bonjour protocol. You can also configure these Netservice parameters. -
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10
GPUImage 2
Framework for GPU-accelerated video and image processing
GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. ...
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