Glances vs siomon
Glances
nicolargo.github.iosiomon
github.comSide by side
| Figure | Glances | siomon |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| Android | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 2 | 0 |
| Spec score · Hardware Monitoring Software | 8.9 (#6) | 6.2 (#58) |
| Spec score · Hardware monitoring tools | 8.6 (#12) | 6.7 (#59) |
| Installation | The documented installation paths include pip, pipx, uvx, operating-system packages, and optional extras such as web or all. | The README documents installation through an Ubuntu PPA, the Arch User Repository, and Nix, and says more installation options are planned. |
| License | Glances is distributed under the GNU LGPL version 3, expressed on PyPI as LGPL-3.0-only. | The repository identifies the project as MIT licensed. |
| Monitoring | Its listed monitoring features include CPU, memory, load, processes, network, disk I/O, sensors, filesystems, containers, alerts and uptime. | The dashboard polls kernel-exported sensors and tracks minimum, maximum, and average readings during a monitoring session. |
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.