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AMD SMI vs Glances

AMD SMI

rocm.docs.amd.com

Glances

nicolargo.github.io

Side by side

FigureAMD SMIGlances
Price fromFreeFree
Free planYesYes
Free trial——
Open source—Yes
Web—Yes
Windows—Yes
macOS—Yes
LinuxYesYes
Android—Yes
APIYesYes
Self-hostedYesYes
Plans published12
Spec score · Hardware Monitoring Software8.1 (#19)8.9 (#6)
Spec score · Hardware monitoring tools7.7 (#39)8.6 (#12)
InstallationAMD SMI is included with most Linux ROCm Core SDK installations and can also be installed as the standalone amdrocm-amdsmi package.The documented installation paths include pip, pipx, uvx, operating-system packages, and optional extras such as web or all.
RequirementsThe GPU path requires the amdgpu-dkms driver; CPU discovery and CPU commands require amd_hsmp or hsmp_acpi, and Python and the CLI require 64-bit Python 3.6.8 or later.Glances 4 requires Python 3.10 or higher; version 4 and higher do not support Python 2 or Python earlier than 3.10.

Plans

AMD SMI

  • AMD SMIFree

AMD SMI pricing →

Glances

  • GlancesFree
  • Open-source GlancesFree

Glances pricing →

In their own words

AMD SMI

AMD SMI has no write-up on Specifiction yet; its figures are above.

Visit rocm.docs.amd.com

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.

Visit nicolargo.github.io