DockMon vs Glances
DockMon
github.comGlances
nicolargo.github.ioSide by side
| Figure | DockMon | Glances |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · Container Monitoring | 8.0 (#28) | 8.8 (#8) |
| Alerts | The repository lists Discord, Slack, Telegram, Pushover, Gotify, and SMTP alerting, while the Notifications guide also lists Microsoft Teams, Google Chat, ntfy, and custom webhooks. | Glances includes monitoring alerts and configurable thresholds. |
| Deployment | The installation guide recommends Docker Compose and states Docker Engine 20.10+, Docker Compose 2.0+, 2 GB RAM minimum, and an available port 8001 as prerequisites. | Glances can be installed with pip, pipx, Homebrew or Linux and FreeBSD packages, and Docker images are available. |
| License | The repository's LICENSE file identifies DockMon v2.0.0+ as Business Source License 1.1 and says the change license is Apache License 2.0. | Glances is distributed under the GNU LGPL version 3, expressed on PyPI as LGPL-3.0-only. |
| Support | The project directs users to its Discord server, GitHub issues, discussions, and wiki for help and documentation. | 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.