Glances vs Owlette
Glances
nicolargo.github.ioOwlette
owlette.appSide by side
| Figure | Glances | Owlette |
|---|---|---|
| Price from | Free | $20/mo |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 2 |
| Spec score · Process Monitoring Software | 8.9 (#3) | 7.6 (#17) |
| Deployment | Glances can be installed with pip, pipx, Homebrew or Linux and FreeBSD packages, and Docker images are available. | Owlette can deploy software, configurations, and content fleet-wide or to selected machines. |
| Monitoring | Its listed monitoring features include CPU, memory, load, processes, network, disk I/O, sensors, filesystems, containers, alerts and uptime. | It provides live CPU, memory, GPU, and disk metrics with sparkline trend charts and email or webhook notifications. |
| Support | The project directs users to its manual, official Reddit forum and GitHub Discussions for help. | Core includes email support, Pro includes priority support, and the site lists [email protected] as a contact address. |
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.