Showing 3 open source projects for "temperature"

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  • 1
    s-tui

    s-tui

    Terminal-based CPU stress and monitoring utility

    s-tui (Stress Terminal UI) is a terminal-based performance monitoring and stress-testing tool focused specifically on CPU behavior analysis in Linux and other UNIX-like systems. It provides real-time graphical visualization of CPU temperature, frequency, power consumption, and utilization directly within a text-based interface, eliminating the need for a graphical desktop environment. The utility is particularly useful for diagnosing thermal throttling, validating cooling solutions, and evaluating system stability under heavy load conditions. In addition to passive monitoring, s-tui can integrate with external stress tools to actively push the CPU to its limits while simultaneously displaying performance metrics. ...
    Downloads: 0 This Week
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  • 2
    psutil

    psutil

    Cross-platform lib for process and system monitoring in Python

    psutil is a widely adopted cross-platform Python library designed to retrieve detailed information about system utilization and running processes in a consistent and programmatic way. It exposes a rich API that allows developers to inspect CPU usage, memory consumption, disk activity, network statistics, and hardware sensors without relying on platform-specific tools. The library effectively replicates and unifies the capabilities of classic UNIX utilities such as ps, top, netstat, and free,...
    Downloads: 5 This Week
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  • 3
    gpustat

    gpustat

    A simple command-line utility for querying and monitoring GPU status

    ...It serves as a simplified alternative to the more verbose nvidia-smi tool by presenting key GPU metrics in a compact, developer-friendly format. The utility retrieves data through NVIDIA’s NVML bindings and displays information such as temperature, utilization, memory usage, and running processes directly in the terminal. Because it is easy to install via pip and requires minimal configuration, gpustat is widely used in machine learning environments, research clusters, and shared GPU servers. The tool also supports watch mode for continuous monitoring and JSON output for integration into automation pipelines. ...
    Downloads: 0 This Week
    Last Update:
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