Glances vs Prometheus Node Exporter

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.

Prometheus Node Exporter exposes hardware and operating-system metrics from *NIX kernels for Prometheus. Written in Go, it uses pluggable collectors, with default coverage for CPU, disk I/O, filesystem, memory, and network metrics where the operating system supports them. Command-line flags enable or disable collectors, and some collectors accept include or exclude filters. The exporter listens on HTTP port 9100 by default. Documentation covers Linux distribution packages, an Ansible community role, and container deployment. Containerized monitoring requires host namespace access and suitable mounts; some systems also need an extra capability for the timex collector. Certain collectors are off by default because they can have high cardinality, take longer, or consume host resources. The project is Apache 2 licensed and free, with no paid plans listed. Windows users are directed to Windows Exporter.