Search Results for "terminal"

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.

...Unlike traditional static progress indicators, it dynamically adjusts spinner speed and visual feedback based on actual throughput, giving users a more intuitive sense of activity. The library is designed with performance efficiency in mind, using multithreaded updates that minimize CPU overhead and terminal noise. It includes sophisticated ETA estimation powered by exponential smoothing algorithms, improving prediction accuracy for variable workloads. Developers can easily integrate it into scripts thanks to automatic logging hooks and flexible configuration options. With its emphasis on responsiveness, customization, and developer ergonomics, alive-progress stands out as a modern replacement for conventional Python progress bars.

Network Security Toolkit (NST) is a bootable ISO image (Live USB Flash Drive) based on Fedora 44 providing easy access to best-of-breed Open Source Network Security Applications and should run on most x86_64 systems. The main intent of developing this toolkit was to provide the security professional and network administrator with a comprehensive set of Open Source Network Security Tools. The majority of tools published in the article: Top 125 Security Tools by INSECURE.ORG are available...

A lightweight control plane for Linux servers. No database, no cloud, no nonsense. One agent per host — everything else lives in flat JSON. v3.2.1 ships SNMP polling for agentless devices, MCP write tools for AI hosts, OIDC SSO, an actionable alerts inbox, and inbound webhooks + syslog.

...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. Overall, gpustat focuses on speed, clarity, and scriptability, making it especially useful for engineers who need quick GPU visibility without heavy monitoring stacks.