Beszel vs Glances
Beszel
beszel.devGlances
nicolargo.github.ioSide by side
| Figure | Beszel | Glances |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · Server Monitoring | 8.4 (#11) | 8.9 (#6) |
| Container support | Beszel tracks Docker and Podman containers, including their status and metrics. | The official feature list names Docker and Podman container monitoring. |
| Installation | The hub supports Docker, Podman, or a single binary, while agents also support Homebrew, WinGet, Scoop, and a Home Assistant add-on. | The documented installation paths include pip, pipx, uvx, operating-system packages, and optional extras such as web or all. |
| License | Beszel is released under the MIT License. | Glances is distributed under the GNU LGPL version 3, expressed on PyPI as LGPL-3.0-only. |
| Network monitoring | Agents can probe ICMP, TCP, HTTP, and DNS response time and packet loss. | The tool reports network-interface activity. |
| Support | The project points users to GitHub Discussions and a community-run Matrix room for support and general discussion. | The project directs users to its manual, official Reddit forum and GitHub Discussions for help. |
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.