Glances Monitor
UnclaimedMonitor your system's performance and resources across platforms with a glance.
Visit WebsiteReviews ong2capterra
34 reviews trackedThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Comprehensive system monitoring in a single tool
Biggest con
Requires Python installation
TL;DR - Glances Monitor
- Real-time, cross-platform system monitoring tool.
- Provides detailed insights into CPU, memory, disk, network, and processes.
- Includes a web UI, API, and data export capabilities for comprehensive monitoring.
Pricing: Free forever
Best for: Individuals & startups
4.4/5 across review platforms
What is Glances Monitor?
Glances is a cross-platform system monitoring tool that provides a comprehensive overview of your system's resources in real-time. It displays key metrics such as CPU usage, memory consumption, load averages, process lists, network activity, disk I/O, sensor data, and filesystem information. It also supports monitoring Docker and Podman containers.
Designed for system administrators, developers, and anyone needing to keep a close eye on their system's health, Glances offers both a terminal-based interface and a built-in web UI for remote monitoring from any device. Its flexibility is further enhanced by an API for integration with other software and robust export capabilities to various data stores like InfluxDB, ElasticSearch, and Grafana, making it a powerful tool for performance analysis and alerting.
Available on: Web, Windows, macOS, Linux
Pros & Cons
Pros
- Comprehensive system monitoring in a single tool
- Cross-platform support for diverse environments
- Built-in web UI for remote access and monitoring
- Extensible with API and various data export options
- Supports container monitoring (Docker, Podman)
Cons
- Requires Python installation
- Terminal-based interface might be less intuitive for some users
Ratings Across the Web
4.4(34 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
CPU monitoringMemory usage displayLoad average trackingProcess list managementNetwork interface monitoringDisk I/O statisticsSensor data (e.g., temperature)Filesystem and folder monitoring
Pricing Plans
Glances
Free
- CPU
- Memory
- Load
- Process list
- Network interface
- Disk I/O
- IRQ / Raid
- Sensors
- Filesystem (and folders)
- Container (Docker and Podman supported)
- Monitor
- Alert
- System info
- Uptime
- Quicklook (CPU, MEM, LOAD)
- Cross-platform (GNU/Linux, FreeBSD, OS X and Windows)
- API (XML-RPC server and RESTful JSON API)
- Web UI
- Export (CSV, InfluxDB, Cassandra, OpenTSDB, StatsD, ElasticSearch, RabbitMQ, Grafana dashboard)
Reviews
4.4/5
Across 34 verified user reviews on g2, capterra
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Glances Monitor FAQ
Which containerization technologies does Glances Monitor support for monitoring?
Glances Monitor provides support for monitoring both Docker and Podman containers. This allows users to gain insights into the performance and resource usage of their containerized applications.
What methods are available for exporting system statistics collected by Glances Monitor?
System statistics can be exported to various formats and platforms, including CSV, InfluxDB, Cassandra, OpenTSDB, StatsD, ElasticSearch, and RabbitMQ. Additionally, Glances Monitor offers a dedicated Grafana dashboard for visualization.
Does Glances Monitor offer a way to view system information without a terminal?
Yes, Glances Monitor includes a built-in Web UI. This allows users to monitor their system from any device with a web browser, eliminating the need for direct terminal access.
What types of APIs does Glances Monitor provide for integration with other software?
Glances Monitor incorporates both an XML-RPC server and a RESTful JSON API. These APIs enable other client software to interact with and retrieve data from Glances Monitor.
What is the recommended method for installing Glances Monitor to ensure the latest stable version?
The recommended method for installing Glances Monitor is via PyPI. Users can install a minimal version using
pip install --user glances or a full installation with all plugins using pip install --user glances[all].Source: nicolargo.github.io