Open Source Go System Monitoring Tools

3X‑UI is an enhanced fork of the X‑UI project, serving as a multifunctional web panel to manage VPN services. It supports multi‑protocol configurations (like VMess, VLESS, Trojan, Shadowsocks, WireGuard), offers traffic and user limits, SSL management, multilingual support, and integrates Telegram notifications for system events. Advanced, open-source web-based control panel designed for managing Xray-core server. It offers a user-friendly interface for configuring and monitoring various VPN and proxy protocols. As an enhanced fork of the original X-UI project, 3X-UI provides improved stability, broader protocol support, and additional features.

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.

An open-source recommender system service written in Go. Recommend items from Popular, latest, user-based, item-based and collaborative filtering. Search the best recommendation model automatically in the background. Support horizontal scaling in the recommendation stage after single node training. Support Redis, MySQL, Postgres, MongoDB, and ClickHouse as its storage backend. Expose RESTful APIs for data CRUD and recommendation requests. Analyze online recommendation performance from recently inserted feedback. Provide GUI for data management, system monitoring, and cluster status checking. Gorse is an open-source recommendation system written in Go. Gorse aims to be a universal open-source recommender system that can be easily introduced into a wide variety of online services. By importing items, users and interaction data into Gorse, the system will automatically train models to generate recommendations for each user.

The MCP System Monitor is a tool that exposes system metrics via the Model Context Protocol (MCP), allowing Large Language Models (LLMs) to retrieve real-time system information through an MCP-compatible interface. ​

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.