Glances vs Naemon
Glances
nicolargo.github.ioNaemon
naemon.ioSide by side
| Figure | Glances | Naemon |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| Android | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Server Monitoring | 8.9 (#6) | 7.8 (#23) |
| Deployment | Glances can be installed with pip, pipx, Homebrew or Linux and FreeBSD packages, and Docker images are available. | The download page provides binary packages and instructions for installing Naemon on Linux distributions, as well as source code for building it. |
| Monitoring | Its listed monitoring features include CPU, memory, load, processes, network, disk I/O, sensors, filesystems, containers, alerts and uptime. | The documentation describes active and passive checks for monitoring hosts and services. |
| Platforms | The project documents GNU/Linux, FreeBSD, macOS and Windows support; it also gives installation instructions for rooted Android devices using Termux. | Binary packages are listed for Enterprise Linux, SLES, Debian, Ubuntu, and Fedora, with installation guides also listed for Windows monitoring. |
| Support | The project directs users to its manual, official Reddit forum and GitHub Discussions for help. | Community support channels listed by the project include Slack, mailing lists, IRC, and GitHub code and bug tracking. |
Plans
In their own words
Glances
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.