Open Source System Monitoring Tools - Page 4

For real-time, high speed, mission critical packet capturing without suffering any packet drops during high packet rates with relatively modest desktop hardware. Applications in: real-time network or large system monitoring or clustered systems.

This tool shows same like top plus coloured information about processes which have to run and such not have to run. It was planned, but not implemented yet, to stop automatically processes not in the database and restart those died by accident, core dump whatever.

A system monitoring application using Ruby on Rails and based on SNMP. OpenSource Project with GPL V3 Liscence

A project designed to aggregate system monitoring systems into a single customizable interface. Currently nagios, cacti, and smokeping are integrated.

Spong is a simple system-monitoring package written in Perl. It features client based monitoring, monitoring of network services, results displayed via the Web or console, history of problems, and flexible messaging when problems occur.

Statsviz is a Go library that provides real-time visualization of Go runtime metrics through an embedded web dashboard. By registering HTTP handlers in an application, developers can instantly expose live charts showing heap usage, garbage collection activity, goroutines, scheduler behavior, and other runtime statistics. The system streams metrics to the browser via WebSocket, enabling near-real-time updates with minimal overhead. statsviz is designed to integrate easily into existing Go services and supports customization such as alternate routes, middleware integration, and user-defined plots. Its visual interface includes filtering controls, time-range selection, and the ability to pause updates for closer inspection. Overall, statsviz is a powerful diagnostic tool for Go developers who need deep runtime observability during performance tuning and debugging.

Statuspage is an open-source status page generator that enables teams to publish service health dashboards directly from GitHub infrastructure. The tool automatically converts GitHub issues into incident reports and uses labels to represent severity levels, allowing teams to manage incident communication through familiar workflows. It is designed to be hosted for free on GitHub Pages, making it especially attractive for startups and open-source projects that want transparent uptime communication without additional hosting costs. The system supports customization of styles, branding, and layout so organizations can match their public status presence to their product identity. Because it integrates tightly with GitHub tokens and repositories, statuspage fits naturally into DevOps pipelines that already rely on GitHub for incident tracking. Overall, the project provides a simple but powerful way to maintain public service transparency using existing developer tooling.

This Sys Army Knife is an all in one tool for any Linux System monitoring and analysis. This is intended to ease of the most of the system activities related to monitoring and analysis. It will be helpful for any newbie or advanced linux users.

SysGauge is a powerful system monitoring and performance analysis tool for Windows that delivers deep insights into your computer’s operation. It provides real‑time visualization of key metrics across multiple domains: CPU and memory usage, disk I/O, network traffic, and active processes. The application features a customizable dashboard with live graphs, gauges, and tables, letting you track trends and spot bottlenecks at a glance. SysGauge supports historical data logging for post‑analysis and capacity planning, and offers alerting for critical conditions (e.g., high CPU load, low disk space). It includes advanced process monitoring with detailed resource breakdowns, service status checks, and network connection tracking.

SysUsage is a system monitoring and alarm reporting tool. It can generate historical graph views of CPU, memory, IO, network and disk usage, and very much more.

A system monitoring application, that provides monitoring on different system areas by using small monitoring plugins - each plugin monitors a very specific system area.

Features You can quickly view system information, can access basic system tools, and System monitoring It provides a single platform to access most of the frequently used system utilities. It is a portable application which can be run from a flash drive. You don’t need to install it. System utilities is lightweight also. Its application file is 364 KB in size. Available completely free.

TextFSM is a Python library created by Google that provides a template-based state machine engine for parsing semi-structured text. It is particularly useful for extracting structured data from command-line interface (CLI) outputs, such as those from network devices, routers, and switches. By defining parsing logic through reusable template files, TextFSM transforms unstructured text into structured data like lists or tables without requiring complex regular expression code. Each template defines states, transitions, and regex patterns that determine how to interpret text line by line, enabling precise extraction of key information from varied sources. This modular approach allows users to maintain a library of templates for different data formats, improving automation in network operations and system administration. Widely used in network automation workflows, TextFSM integrates easily with Python scripts, making it an essential tool for engineers.

WGCLOUD is a distributed operations and maintenance monitoring platform designed to provide comprehensive visibility into servers, applications, and infrastructure through a lightweight yet highly integrated architecture. Built on a Spring Boot microservices foundation with an agent-server model, the system emphasizes rapid deployment, minimal configuration overhead, and automated operation for large-scale environments. It collects extensive host metrics such as CPU usage, temperature, memory utilization, disk performance, network throughput, and hardware health while also supporting monitoring of processes, containers, ports, and databases. The platform includes advanced operational capabilities such as web-based SSH access, batch command execution, and visual topology generation, making it more than a passive monitoring tool. wgcloud is intended for private, self-hosted deployments where organizations want full control over monitoring data without relying on external cloud services.

Simple - yet powerful and extendable - system monitoring daemon, written completely in managed C#. User interfaces can be attached using various protocols, and new modules (written in any .NET language) can easily be linked to the core monitoring engine.

Web based metrics, monitoring, and observer. Drop-in monitoring though web interface. Metrics endpoint (/metrics) for system monitoring. (Default: Prometheus) Monitoring automation through JSON API. Node management and discovery behind firewalls and load balancers. Easy to extend. Add custom metrics and pages for your project, just by adding them in the config. Just 3 lines of code to add pages/metrics for your library when users have :wobserver installed. Wobserver does not support being included directly from GitHub. The required assets are not included in the repo in build form and can therefore not be used. It is possible to build locally and use the generated package. (See Build manually for more information.) To view the web interface just enter http://<host>[:<port>]/ in the browser and it should show the :wobserver interface. The default port is 4001, but the port can be changed in the configuration.

XMLSysInfo (XSI) is a system monitoring daemon that replies to network queries with vital system information and statistics in an easily parsed XML format. It supports all the major BSDs, Linux and Solaris.

alive-progress is an advanced Python progress bar library that introduces a highly animated and adaptive approach to tracking long-running tasks. 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.

gtop is a tool that helps you monitor your systems through a dashboard user interface, and it is optimized to monitor and visualize terminals. gtop requirements are to have Node.js version 8 or higher. It supports Linux, OSX, and Windows (with partial support). You need to assign host net and pid to access the metrics in the host machine. Start gtop with the gtop command. To stop gtop use q, or ctrl+c in most shell environments. You can sort the process table by pressing 'p' for Process Id, 'c' for CPU usage, and 'm' for Memory usage. If you see question marks or other different characters, try to run it with the environment variables provided in the documentation. gtop is released under the MIT license.

iHyperic is an iPhone App for the Open Source System Monitoring software Hyperic HQ. This is the server project required to connect Hyperic HQ with iHyperic.

This useful application converts your text system/monitoring log files to html format and publishes them to your web server.

"Monipl" is a simple, yet useful, system monitoring tool. It provides a quite handy interface on various system calls and shell commands. User can choose between console and graphical interface. Written in Perl, using the Gtk2 module.

nodejs-dashboard is a terminal-based telemetry dashboard that provides real-time insight into Node.js application behavior during development. It overlays an interactive monitoring interface on top of a running Node process, displaying metrics such as event loop activity, memory usage, and request throughput. The tool can be injected into applications with minimal or no code changes by using Node’s preload flag, making adoption straightforward for developers. Its interface uses Unicode Braille characters to render compact graphs directly in the terminal, creating a highly responsive visual experience. nodejs-dashboard is primarily aimed at local development and debugging rather than production observability, helping engineers quickly identify performance bottlenecks. Although the repository is now archived, it remains a useful lightweight option for developers who prefer terminal-native telemetry during Node.js development workflows.

php-gkrellm is an object-oriented PHP API for retrieving information from the gkrellmd system monitoring daemon.