Guro

Guro: A System Tool-kit for Real-time Monitoring and Analysis

Guro is a powerful terminal-based diagnostic toolkit designed for detailed system resource monitoring and hardware analysis. It caters to engineers and technology enthusiasts alike, offering a desktop-class dashboard experience directly within the command-line interface. Guro delivers precise telemetry data across multiple operating systems, including Linux, macOS, and Windows.

Key Features

• Intelligent Monitoring: Provides high-frequency sampling for real-time ASCII-based historic trending. Users can view system load metrics such as individual core utilization and physical/virtual memory envelopes.

• Thermal Intelligence: Guro employs a resilient data acquisition layer that interfaces directly with lm-sensors on Linux and WMI on Windows. This ensures accurate thermal mapping across various hardware components, regardless of kernel and driver version.

• Hardware-Agnostic Benchmarking: The benchmarking module prioritizes hardware safety, maintaining system stability and monitoring thermal thresholds during demanding load tests. It is tailored to support NVIDIA, AMD, and Integrated graphics solutions effectively.

Visual Presentation

1. Performance Telemetry View
   
   High-concurrency monitoring of CPU cores, memory allocation, and active process telemetry.

2. Hardware Thermal Schematic
   
   Spatial temperature mapping across integrated hardware components with synchronized trend analysis.

Operational Interface

Guro can be accessed via its unified command-line interface, with commands available for the following modules:

Module	Command	Description
Monitor	guro monitor	Launches the interactive system performance dashboard.
Thermal	guro heatmap	Initiates spatial hardware heat mapping and trend analysis.
Graphics	guro gpu	Executes a diagnostic status report for all detected GPUs.
Bench	guro benchmark	Performs high-load system stability and speed testing.

Community Contributions

Guro is an open-source project adhering to professional development standards, encouraging community collaboration. Comprehensive guidelines for contributions can be found in the CONTRIBUTING.md document. In-depth module analyses and further documentation are also available within the project.

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Explore Guro for an enhanced understanding of system performance and hardware capabilities.