Glances vs OpenProcMon

Glances is a free, open-source, cross-platform tool for monitoring real-time system statistics and running processes. Its listed coverage includes CPU, memory, load, processes, network, disk I/O, sensors, filesystems, containers, alerts, and uptime. Client/server mode enables remote monitoring through a terminal, web interface, or API, while its built-in web UI lets users view a system from a browser-equipped device. Statistics can be exported to CSV or JSON files, databases such as InfluxDB and Prometheus, brokers such as RabbitMQ and Kafka, or a REST endpoint. The project documents Docker and Podman support and describes Docker and LXC container monitoring in its README. Installation options include pip, pipx, Homebrew, Linux and FreeBSD packages, and Docker images. Glances 4 requires Python 3.10 or higher. Its default installation does not include web interface dependencies; separate extras cover features such as web, GPU, containers, exports, and MCP. Version 4.5.1 and higher can provide an MCP server for AI assistants. The project uses the LGPL version 3 license.

OpenProcMon is a free, open-source process monitor for 64-bit Windows. It tracks process, file system, registry, and network activity in real time, with filters for process name, PID, operation, path, result, or category. Its interface includes a process tree, activity summaries, and call-stack views with per-frame module resolution. The tool reads and writes Sysinternals Process Monitor .PML logs, including logs made with the original Process Monitor. Developers can use its Rust SDK to connect to the driver, choose monitored activity, set filters, and consume parsed events programmatically. For AI-assisted capture and analysis, the procmon-cli MCP server operates over stdio and has setup instructions for clients including Claude Code, Claude Desktop, Codex, and Cursor. Capture tools can export filtered results as PML, CSV, or XML. The v0.5.0 release offers a Windows x64 ZIP with the GUI, CLI/MCP server, console example, skill, and guides. Live capture needs Administrator privileges to load the kernel driver; analyzing an existing .PML file does not. The project is MIT-licensed and its Rust rewrite is described as under active development.