Glances vs Watchflare
Glances
nicolargo.github.ioWatchflare
watchflare.ioSide by side
| Figure | Glances | Watchflare |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Android | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Server Monitoring | 8.9 (#6) | 7.5 (#32) |
| Spec score · Container Monitoring | 8.8 (#8) | 7.5 (#37) |
| Alerts | Glances includes monitoring alerts and configurable thresholds. | Users can set host-specific thresholds for CPU, memory, disk, load, and temperature, plus host-offline alerts. |
| Containers | The project documents monitoring support for Docker and Podman, and describes Docker and LXC container monitoring in its README. | Opt-in container monitoring reports per-container CPU, memory, and network metrics through Docker or Podman. |
| Deployment | Glances can be installed with pip, pipx, Homebrew or Linux and FreeBSD packages, and Docker images are available. | The Hub can be deployed with Docker Compose or as a standalone binary, and the web dashboard is embedded in the Hub. |
| 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 Hub requires Docker Engine 20.10+ with Compose v2+ for the documented Docker deployment; Linux and macOS agents support x86_64 and ARM64. |
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.
Watchflare
Watchflare has no write-up on Specifiction yet; its figures are above.