Open Source ChromeOS System Monitoring Tools

Pulse is a modern infrastructure monitoring platform that provides a unified, visually polished dashboard for environments running Proxmox, Docker, and Kubernetes. It is designed to give operators a single pane of glass for observing system health, metrics, and alerts without the complexity typically associated with enterprise monitoring stacks. The platform aggregates telemetry from multiple infrastructure layers and presents it through a responsive web interface optimized for homelabs, managed service providers, and system administrators. Pulse incorporates smart alerting capabilities and optional AI-assisted insights that help users interpret infrastructure events and detect anomalies faster. Its architecture supports automatic discovery of nodes and persistent metric storage, enabling both real-time visibility and historical analysis. Overall, Pulse positions itself as a modern, self-hosted observability solution that balances usability, automation, and cross-platform coverage.

Monitoring Plugins is a collection of open-source plugins designed to work with Nagios and other monitoring systems. These plugins perform various checks on hosts and services, providing administrators with essential information about system health and performance. The suite includes a wide range of plugins written in C, Perl, and other languages.​

OpenStatus is an open-source synthetic monitoring and status page platform designed to help teams track the availability and performance of websites, APIs, and services from multiple global locations. It continuously probes configured endpoints and alerts users when latency thresholds are exceeded or outages occur, enabling proactive incident response. The platform also generates customizable public or private status pages that automatically reflect real-time service health, improving transparency with customers and stakeholders. Built with modern web technologies such as Next.js and Tailwind CSS, openstatus supports both managed deployments and self-hosted environments using lightweight Docker images. Its monitoring-as-code approach allows teams to define checks in YAML and integrate them into CI/CD workflows for automated validation.

RuoYi-Vue-Pro is an enterprise-level, full-stack admin management system based on Spring Boot and Vue 3. It features a modular architecture with RBAC permissions, multi-tenant support, workflow engine integration, monitoring, logging, and microservice compatibility. Built for scalability and maintainability, it’s designed for Chinese-speaking developers building robust backend management systems, and includes tools for user, role, and permission management, data visualization, and more.

Heim is a cross-platform system monitoring library written in Rust, providing real-time metrics for CPU, memory, and other resources.

BCC is a toolkit that simplifies creating efficient kernel tracing, monitoring, and manipulation programs by leveraging extended Berkeley Packet Filters (eBPF). It includes a rich set of example tools and scripting interfaces in C, Python, and Lua. BCC makes BPF programs easier to write, with kernel instrumentation in C (and includes a C wrapper around LLVM), and front-ends in Python and lua. It is suited for many tasks, including performance analysis and network traffic control. With a BPF-specific frontend, one should be able to write in a language and receive feedback from the compiler on the validity as it pertains to a BPF backend. This toolkit aims to provide a frontend that can only create valid BPF programs while still harnessing its full flexibility.

Hyperic is application monitoring and performance management for virtual, physical, and cloud infrastructures. Auto-discover resources of 75+ technologies, including vSphere, and collect availability, performance, utilization, and throughput metrics.

ACGVision is a software monitoring system developped in Java and using SOAP WebServices.

Flower is an open-source web application that provides real-time monitoring and administrative control for Celery distributed task queues. It exposes detailed visibility into worker status, task execution history, and queue metrics through an interactive web dashboard. Developers and operators can remotely manage workers by restarting instances, adjusting pool sizes, revoking tasks, or applying rate limits without direct server access. Flower also supports broker monitoring and integrates with authentication providers and Prometheus for metrics export, making it suitable for production environments. The tool communicates with Celery using event streams, allowing near real-time updates on asynchronous workloads. Because Celery is widely used in Python microservices and background job systems, Flower has become a standard companion utility for teams that need operational insight and control over distributed task processing.

Job Monarch is an addon to the Ganglia Monitoring System that provides batch job monitoring and archiving plus a graphical overview of clusters and assorted batch systems. Fully supported batch system: Torque, PBS and SLURM. Experimental: LSF, SGE

JMonTools is a free application for remote monitoring of Unix-like systems. It provides agentless monitoring of multiple remote servers. It collects various system stats and displays real-time graphs in a single console for viewing and analysis.

Use your Java-enabled mobile phone to monitor your systems and applications! MobiMon is a modular and extensible set of software components for remote, mobile system monitoring based on J2ME, J2EE and JMX - the Java Management Extensions. Enjoy!

Opserver is a full-stack monitoring system originally developed by the Stack Exchange engineering team to provide deep operational visibility across large-scale production environments. It functions as a centralized dashboard capable of independently monitoring servers, databases, caches, and network components while aggregating them into a unified operational view. The platform supports a wide range of integrations including SQL Server, Redis, Elasticsearch, HAProxy, and external monitoring systems, making it highly extensible. Built on .NET technologies, Opserver can run across multiple operating systems and is designed for environments that require both infrastructure metrics and application-level diagnostics. It emphasizes real-time status visualization combined with drill-down capabilities for troubleshooting complex distributed systems.

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.

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.

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.