Glances vs XStat
Glances
nicolargo.github.ioXStat
xstat.ddns.netSide by side
| Figure | Glances | XStat |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| Android | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 2 | 1 |
| Spec score · Hardware Monitoring Software | 8.9 (#6) | 7.6 (#47) |
| Spec score · Hardware monitoring tools | 8.6 (#12) | 8.3 (#16) |
| License | Glances is distributed under the GNU LGPL version 3, expressed on PyPI as LGPL-3.0-only. | XStat is released under the MIT License. |
| Remote monitoring | Client/server mode supports monitoring a remote host through the terminal, web UI, or APIs. | Yes |
| Requirements | Glances 4 requires Python 3.10 or higher; version 4 and higher do not support Python 2 or Python earlier than 3.10. | The desktop app requires Windows 10 or 11 64-bit and administrator privileges for hardware sensor access. |
| Support | The project directs users to its manual, official Reddit forum and GitHub Discussions for help. | The project page links to GitHub issues for reporting issues. |
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.