Glances vs ManageEngine OpManager
Glances
nicolargo.github.io
ManageEngine OpManager
manageengine.comSide by side
| Figure | Glances | ManageEngine OpManager |
|---|---|---|
| Price from | Free | $7.92/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 8 |
| Spec score · Hardware Monitoring Software | 8.9 (#6) | 9.0 (#3) |
| Spec score · Server Monitoring | 8.9 (#6) | 9.2 (#3) |
| Spec score · Hardware monitoring tools | 8.6 (#12) | 8.9 (#5) |
| AI integration | Glances 4.5.1 and higher can provide an MCP server for AI assistants. | The integrations page says OpManager can use a locally deployed Ollama runtime for on-premises AI processing where no data leaves the network. |
| Monitoring | Its listed monitoring features include CPU, memory, load, processes, network, disk I/O, sensors, filesystems, containers, alerts and uptime. | It tracks network device and server metrics including CPU, memory, disk use, latency, packet loss, and response time. |
| Network monitoring | The tool reports network-interface activity. | It provides real-time visibility into the health, availability and performance of IP devices. |
| Public API | The software exposes XML-RPC and RESTful JSON APIs for other client applications. | The REST API exposes device status, alarms, availability and performance data for dashboards, third-party tools and automated workflows; documentation includes authentication, API-key management, schemas and error codes. |
| Support | The project directs users to its manual, official Reddit forum and GitHub Discussions for help. | The free download page offers registration for free technical support. |
| System requirements | Glances 4 requires Python 3.10 or newer and depends on psutil, defusedxml, packaging, and platform-specific packages. | For 1–250 devices, the minimum Standard/Professional requirement is a 4-core 2.0-GHz Xeon or four vCPUs, 4 GB RAM and 20 GB SSD. |
| What it does | Glances is a Python-based, cross-platform system monitoring tool with terminal and web interfaces. | OpManager monitors routers, switches, firewalls, load balancers, wireless controllers, servers, virtual machines, printers and storage devices. |
Plans
ManageEngine OpManager
- Free EditionFree
- Free EditionFree
- Standard Edition$95 a year
- Standard Edition$95 a year
- Professional Edition$145 a year
- Professional Edition$145 a year
- Enterprise Edition$4,595 a year
- Enterprise Edition$4,595 a year
In their own words
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.
ManageEngine OpManager
ManageEngine OpManager monitors and manages network infrastructure from a self-hosted unified console. It tracks device and server metrics including CPU, memory, disk use, latency, packet loss, and response time. For traffic and bandwidth analysis, it supports NetFlow, sFlow, J-Flow, and IPFIX. Severity-based alerts and automated troubleshooting through scripts or workflow actions address faults. The product page says OpManager supports more than 11,000 device types from over 450 vendors. Integrations include ServiceNow, Microsoft Teams, OpenAI, Jira, Grafana, Slack, ServiceDesk Plus, webhooks, and REST APIs. It can use a locally deployed Ollama runtime for on-premises AI processing without data leaving the network. Access controls include custom roles, password policies, Active Directory, SAML, and two-factor authentication; listed security measures include SSL encryption and file integrity monitoring. The perpetual Free Edition monitors three devices. A 30-day full-featured trial has no device cap. Standard starts at $95 a year for 10 devices, Professional at $145 a year for 10 devices, and Enterprise at $4,595 a year for 250 devices.