Stats: An Advanced System Monitoring Tool for macOS

Stats is an open-source project that serves as a hardware and system monitoring tool. Its primary objective is to provide in-depth information about crucial system parameters of macOS. Its real-time monitoring of CPU usage, memory usage, disk usage, sensor pressure, battery information, network activity and more, makes it a must-have tool for Mac users. So, why exactly is Stats such a significant project? With increasingly complex applications and processes, it has become vital for users to proactively monitor and manage their system's hardware and software health. A tool like Stats aids in this cause and ensures optimal system operation.

Project Overview:


Stats aims to provide comprehensive and real-time insights into a macOS's performance and health. It is designed to address users' need to effectively track and manage their systems' resource usage, and take timely decisions based on that information. Its top-to-bottom live data monitoring assists in promptly identifying potential issues which might slow down or harm the normal operation of a Mac. The target audience is extensive, ranging from casual Mac users to developers, system administrators and people who demand a high-performing system for their work or hobby.

Project Features:


Stats is packed with powerful features. Its main window provides a snapshot of all vital system information like memory usage, CPU usage, Fan speed, disk usage and more. Plug-in architecture allows adding or removing modules based on user requirements. Also, it offers a dark mode compatible view for a more aesthetic and comfortable visual experience. It is also localized in many languages, broadening its user reach. The availability of these diverse features effectively meets its objective of providing comprehensive macOS monitoring.

Technology Stack:


The Stats project is primarily built using Swift, a powerful and intuitive Apple's programming language. Swift was chosen for its speed, safety, and ease of use. In addition to Swift, the project uses libraries like Sparkle for automatic updates and IOKit for accessing system-specific hardware and network information. This technological blend makes Stats an efficient, reliable and rigorous system monitoring tool.

Project Structure and Architecture:


Stats is structured into several modules each responsible for a specific system parameter monitoring. The build process separates it into application layer and plugins. Plugins are for specific functions like CPU, GPU, Disk, Memory, Sensors, Battery, Network etc. Each plugin communicates with the application via the plugin-cpu protocol. This modular architecture provides Stats a robust, scalable and maintainable structure.


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