vminfo vs Glances

vminfo and Glances both span terminal monitoring, machine-readable output, and browser/API access. The main difference is scope: Glances provides a broad Python monitoring ecosystem with plugins, exports, and client/server modes, while vminfo focuses on local, real-time diagnostics in a self-contained Go binary with embeddable Go APIs.

At a glance

Area	vminfo	Glances
Primary position	Local host diagnostics from one Go binary	Extensible cross-platform monitoring application
Terminal UI	Built-in live overview and Linux process view	Built-in terminal monitoring with a plugin-oriented information model
Web/API	Read-only dashboard, REST endpoints, and WebSocket stream	Web UI plus RESTful and XML-RPC interfaces in supported modes
Machine-readable data	JSON snapshot, JSON Lines watch stream, command JSON	JSON/CSV exports, stdout JSON, APIs, and external export modules
Remote model	Local-first; remote access through a protected web bind, reverse proxy, or SSH tunnel	Dedicated client/server discovery and remote monitoring modes
Library	Public Go collection and TUI packages	Python library API
Extension scope	Deliberately small and built in	Larger plugin/export ecosystem, including optional web and MCP components

Runtime and installation

vminfo release artifacts are compiled Go binaries. The normal local workflow does not require Python, a database, a daemon, or optional web dependencies. Web mode is part of the same executable and starts only when requested.

Glances is written in Python and uses optional dependency groups for capabilities such as its Web UI/API, exports, graphs, and MCP server. It is widely packaged and can run locally, in a container, or in client/server mode. That larger surface is useful when you need integrations beyond a one-host diagnostic tool.

Neither design is universally simpler. A standalone binary reduces runtime setup; a plugin ecosystem increases extension and export choices.

Terminal, web, and API workflows

Both projects provide a terminal view and a browser/API path. vminfo keeps its web server read-only and stateless: it publishes current snapshots, processes, health warnings, network diagnostics, and a live WebSocket stream. Non-loopback binds require a token, and remote access should use HTTPS through a reverse proxy or an SSH tunnel.

Glances documents Web UI, RESTful, XML-RPC, and client/server modes. It can discover remote Glances servers and export metrics to files or external time-series systems. Choose that model when multi-host or exporter workflows are central.

JSON and automation

vminfo favors a small number of stable command contracts:

vminfo summary --json
vminfo watch --json
vminfo ps --json

Glances offers more export modes, including stdout JSON and file/database exporters. That breadth is an advantage for established Glances pipelines. vminfo is a better fit when you want a direct snapshot or stream without configuring an export module.

Choose Glances when

• you need client/server monitoring or server discovery
• you want a broad set of plugins and export destinations
• XML-RPC, REST, Web UI, containers, or MCP are part of the monitoring design
• your application integration is Python-first

Choose vminfo when

• you want one compiled binary for TUI, JSON, Web/API, and network diagnostics
• local, on-demand inspection is more important than long-running remote collection
• you need a small, explicit JSON contract for scripts or CI
• your integration target is a Go CLI or service
• Windows, macOS, and Linux should share the same top-level commands

Can they be used together?

Yes. Glances can serve as a broader remote/export layer while vminfo remains an operator-side troubleshooting tool or Go library. Avoid running two permanent collectors unless the additional signals justify the operational cost.

Sources

• Glances official repository
• Glances documentation
• vminfo web dashboard
• vminfo HTTP API
• vminfo Go library

Facts last checked on July 14, 2026. This page does not claim that either project uses fewer resources; measure both on your own workload if that is a deciding factor.