Open Source Python Hardware Monitoring Software

Open Hardware Monitor is a free and open source hardware monitoring application designed primarily for personal computers. It provides real-time insights into key system metrics such as temperatures, fan speeds, voltages, load percentages, and clock speeds by reading directly from sensors embedded in CPUs, GPUs, motherboards, and storage devices. The tool supports a wide range of sensor hardware found on modern systems, including Intel and AMD processors, NVIDIA and AMD graphics cards, SMART temperature sensors on storage drives, and many motherboard monitoring chips. Users can view monitored data directly within the application, as customizable desktop gadgets, or through a system tray interface, making it easy to keep an eye on system health at a glance. OpenHardwareMonitor runs without the need for a traditional installation (it can be run portably) and on systems configured with the appropriate runtime (e.g., .NET or Mono).

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. The software is lightweight, scriptable, and well suited for remote environments such as SSH sessions or small devices like Raspberry Pi.

gpustat is a lightweight Python command-line utility designed to provide fast, human-readable monitoring of NVIDIA GPU status in real time. 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. Overall, gpustat focuses on speed, clarity, and scriptability, making it especially useful for engineers who need quick GPU visibility without heavy monitoring stacks.

Comprehensive Hardware Analysis, Monitoring and Reporting for Windows. Exhausting information about hardware components displayed in hierarchy unfolding into deep details. Useful for obtaining a detailed hardware inventory report or checking of various hardware-related parameters. Real-time monitoring of a variety of system and hardware parameters covering CPUs, GPUs, mainboards, drives, peripherals, etc. Useful for detection of overheating, overload, performance loss or failure prediction. Full hardware hierarchy, or quick summary overview.

System Resource Monitor is a lightweight, Python-based desktop application designed for real-time monitoring of CPU and Memory performance. Built with Tkinter for the GUI, Matplotlib for dynamic graphing, and Plyer for cross-platform desktop notifications, this tool empowers users to keep track of CPU and memory usage efficiently. With customizable update intervals, data exporting capabilities, and built-in alerts for resource spikes, System Resource Monitor is perfect for anyone looking to keep an eye on their computer’s health without the bloat of heavier tools. Whether you're troubleshooting a performance issue, optimizing workflows, or simply curious about your machine’s behavior, this intuitive monitoring solution gives you all the critical insights you need in one easy-to-use interface.

Linux/Windows Admin with interactive features to control Resources on a remote PC

The solution GreenHop aims to perform energy and environmental (temperature, humidity, dew point and atmospheric pressure) monitoring of the Data Center server room, providing energy efficiency indicators through green metrics for Data Centers. The GreenHop solution is based on open source software and hardware. The approach of using open source solutions enables its deployment easier and independently of suppliers at the same time makes the solution scalable to the needs of each organization. Thus, we aim to provide ambiental monitoring of the Data Center server room while we keep the system to be customizable to implement and replicate.

Program is designed to show users internal and external ip addr. Both an end user and a client-server process, depending on setup options

Mining Overlord is a Python based program that periodically tests to see if a mining application (like cgminer or bfgminer) has stopped responding. This programs sole purpose it to maximize up-time for crypto coin mining operations. If it detects a non-response, it will restart the application automatically. It also features a configurable restart timer that automatically kills and relaunches the mining process at a set interval. This program is cross-platform compatible and has been tested on: Windows XP/Vista/7 Linux (Ubuntu 12.04 and Raspian) Mac OS 12.04 It requires that Python 2.7.3 or above be installed on the host to run. Currently, Mining Overlord only supports installations where one instance of the mining software is running.

Retrieve statistics from SNMP-aware devices, store them in a database and graphically display them for monitoring and notification purposes.

Scalable Cluster Environment (SCE) is a set of interoperable opensource tools that enable users to build and use Beowulf cluster effectively to solve their problems.

VOMON (Virtual Observatory Monitor) is a web application that can be configured to watch your virtual observatory services. It is a mashup of the AstroRuntime and the MARS network monitor.

This tool can be used to create a GNS3/Dynamips replica of a real network by simply connecting to the network and using SNMP. Please see the instructions in the wiki.

EyeSpy is a is a PC/Windows based internet monitoring and visualization tool. It will scan and summarize all online activity, and display a realtime, interactive map showing the geographic location of all endpoints communicating online.