gpuview vs ManageEngine OpManager
gpuview
github.com
ManageEngine OpManager
manageengine.comSide by side
| Figure | gpuview | ManageEngine OpManager |
|---|---|---|
| Price from | Free | $7.92/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 8 |
| Spec score · Hardware Monitoring Software | 8.1 (#21) | 9.0 (#3) |
| Spec score · Hardware monitoring tools | 8.0 (#25) | 8.9 (#5) |
| Intended users | The README describes GPU monitoring for deep learning practitioners and says gpuview can run on a non-GPU machine, such as a laptop, to monitor remote GPU servers. | The vendor describes the free edition as suited to small networks and labs, and the full trial as an enterprise evaluation option. |
| Purpose | gpuview is a lightweight web dashboard for monitoring GPU health and usage, including temperature, memory, utilization, and users. | OpManager monitors and manages network infrastructure from a unified console. |
| Security | The project states that it has no user authentication and omits sensitive details such as usernames by default. | The product page lists GDPR, FIPS 140-2, and ISO/IEC 27001 and mentions SSL encryption, password protection, and file integrity monitoring. |
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
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.