BenchRank
#46 in Monitoring & ObservabilityUpdated 2026-08

Glances

by Glances · Cross-platform system monitoring in the terminal or a browser

BenchRank score

24.8 — BenchRank score out of 100

Screenshots of Glances

Homepage · Glances

Homepage of Glances

Overview

Glances is a cross-platform system monitoring tool written in Python. It reports CPU, memory, load, processes, network interfaces, disk I/O, sensors, filesystems and Docker or Podman containers in a curses terminal interface or a built-in web UI. It also exposes an XML-RPC server and a RESTful JSON API, and exports statistics to InfluxDB, Cassandra, StatsD and other backends.

Best for
Sysadmins wanting per-host CPU, memory, disk and container stats from a terminal or browser.
Pricing
The captured page shows no prices; it only describes installation from PyPI with pip.

Strengths and trade-offs

Strengths

  • Runs on GNU/Linux, FreeBSD, OS X and Windows
  • XML-RPC server and RESTful JSON API for other clients
  • Built-in web UI for monitoring from any device
  • Exports to InfluxDB, Cassandra, StatsD, ElasticSearch and more

Trade-offs

  • Installed per machine via pip; no hosted or managed option shown
  • Minimal pip install omits plugins; needs the glances[all] extra
  • Support is community-only: mailing list, chat and Twitter

How Glances markets itself

A structured read of the promise, proof and page design on Glances’s captured homepage.

Homepage capture

“An Eye on your system”

  • Angle: Developer-first
  • Hero: Typography only

Pricing

Published plans and prices from Glances’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The Glances pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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