Stats is a native macOS menu bar system monitor that provides real-time hardware and software metrics for CPU, GPU, RAM, Disk, Network, Battery, Sensors (temperature/voltage/fan), Bluetooth, and Clock. Built entirely in Swift with AppKit, it uses private IOKit, SMC, and IOReport APIs to collect system data, and offers highly customizable widgets (mini, line/bar/pie charts, tachometer, text, etc.) drawn directly in the menu bar. The architecture is modular: each monitored subsystem lives in its own 'Module' directory with a consistent structure (main.swift, readers, popup, settings, notifications, portal). A shared 'Kit' framework provides reusable components including a reader base class with interval management and history persistence via bundled LevelDB, a thread-safe key-value store wrapper, and a set of custom drawing chart widgets. The app also supports remote monitoring via an optional cloud service (System Stats), privileged helper for fan control, macOS widget extensions, and extensive localization (40+ languages). The codebase demonstrates strong engineering practices with clean abstractions, encapsulation, and reusability, though some modules exhibit boilerplate duplication and the project relies on several deprecated or private APIs that may require updates for future macOS releases.
LibreHardwareMonitor is a free, open-source hardware monitoring application for Windows (with partial Linux support) that reads temperatures, fan speeds, voltages, loads, clock speeds, and other sensor data from CPUs, GPUs, motherboards, storage devices, network adapters, power supplies, batteries, and various fan/water cooling controllers. The architecture is a Windows Forms desktop application (LibreHardwareMonitor.Windows.Forms) backed by a reusable .NET library (LibreHardwareMonitorLib) that abstracts hardware access through interfaces (IHardware, ISensor, IControl) and a visitor pattern for traversal. Key entry points include the MainForm UI, the Computer class that orchestrates hardware enumeration, and an embedded HTTP server providing REST/JSON and Prometheus endpoints. Data flows from low-level hardware interfaces (LPC I/O, MSR, SMN, SMBus, HID, NVAPI, ADL, WMI, IPMI, SMART) through sensor objects with min/max tracking and history compression, to the UI tree view, system tray icons, logging, and web clients. External dependencies include the Aga.Controls tree view library, HidSharp for USB HID, PawnIO kernel driver for low-level I/O, and several platform-specific native APIs. The codebase is large and well-structured with clear separation of concerns, but contains some monolithic files, outdated JavaScript libraries (jQuery 1.7.2, Knockout 2.1.0), and hardcoded hardware-specific mappings that require ongoing maintenance.
nvml-wrapper is a Rust workspace providing safe, high-level bindings to the NVIDIA Management Library (NVML). It is a library crate, not an application: there are no binaries, servers, or CLIs. The workspace is split into `nvml-wrapper-sys` (low-level FFI bindings, including runtime loading of `libnvidia-ml.so`/`nvml.dll` via `libloading`) and `nvml-wrapper` (a safe, typed API). The primary entry point is `Nvml::init()`, which loads the NVML library and returns a handle; from there, `Device` exposes 100+ methods for querying GPU state such as memory, clocks, temperature, power, ECC, NvLink, vGPU, MIG, and GPM metrics. The crate also supports mutating operations like setting application clocks and fan speed, and includes a `legacy-functions` feature for older NVML versions.