Glances
Glances: A free, lightweight monitor for hosts, processes, containers, and remote systems. Ranked #20 of 38 in Server Monitoring by our editors (7.5/10); pricing: Free plan; best for free lightweight system monitoring.
At a glance
- Editor score7.5 / 10
- PricingFree plan
- Best forFree lightweight system monitoring
- Free planYes
- Paid fromFree
- Facts checked20 Sep 2026

Where it wins
- Free and open source with GNU/Linux, FreeBSD, OS X, and Windows support
- Covers host resources, processes, Docker, Podman, and uptime
- Offers web, terminal, remote monitoring, APIs, exports, and integrations
Where it doesn't
- Primarily focuses on lightweight system monitoring rather than enterprise monitoring
- The monitoring method is agent-based
- Its interface centers on terminal and web views rather than a broader platform
Our verdict on Glances
Glances is a free, open-source system monitoring tool written in Python. It is aimed at users who need lightweight, self-hosted visibility into operating-system and server resources across GNU/Linux, FreeBSD, OS X, and Windows. Monitoring covers CPU, memory, load, disk, network, filesystems, sensors, uptime, and running processes. Docker and Podman container monitoring extends that coverage to containerized workloads, while local and remote operation supports both individual machines and client/server deployments.
Its main strength is the range of access and data options for an open-source monitor. Users can work from a terminal-based interface or built-in web interface, monitor systems remotely, and use RESTful JSON or XML-RPC APIs. Glances also supports export to CSV and external databases or services, with integrations including InfluxDB, Cassandra, OpenTSDB, StatsD, Elasticsearch, RabbitMQ, and Grafana. Network server discovery through the central browser can help locate monitored systems within the supported setup. These capabilities make it a practical fit when direct resource visibility and flexible data handling matter more than a large management layer.
Glances is narrower than a full enterprise monitoring platform. Its focus is operating-system resources, processes, containers, and related statistics rather than a broader suite of enterprise monitoring functions. The agent-based monitoring method and self-hosted model also suit teams comfortable managing their own monitoring environment. Choose Glances for free, cross-platform host monitoring with terminal, web, remote, API, export, and integration options. Consider an alternative if your priority is a wider enterprise monitoring platform rather than lightweight system-level visibility.
Your product? Our editors can test Glances in depth and publish a review, labelled as paid · from $149/mo →
Glances pricing
Glances fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Included hosts | Not verified |
| Metric retention | Not verified |
| Monitoring method | Agent |
| Supported operating systems | GNU/Linux, FreeBSD, OS X, and Windows |
| Server auto-discovery | Yes |
| Process monitoring | Yes |
| Container monitoring | Yes |
| Deployment | Cloud, Self-hosted, Desktop, Browser extension |
| Platforms | Web, Windows, macOS, Linux |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 10 integrations: Docker, Podman, CSV, InfluxDB, Cassandra, OpenTSDB … |
| Pricing | Free plan |
| Website | nicolargo.github.io |
| Facts checked | 20 Sep 2026 |
Glances integrations
Glances lists 10 integrations on its own site.
- Docker
- Podman
- CSV
- InfluxDB
- Cassandra
- OpenTSDB
- StatsD
- Elasticsearch
- RabbitMQ
- Grafana
Alternatives to Glances
- CheckmkA broad monitoring platform with a free edition and high paid entry price.9.4
- ZabbixA broad monitoring platform with a free self-hosted edition and managed cloud options.9.3
- NetdataAffordable infrastructure visibility with per-second metrics, logs, alerts, and AI assistance.9.2
See all Glances alternatives →
Also Ranked In
Glances is ranked in 4 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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