gpu_monitor VS permon

Compare gpu_monitor vs permon and see what are their differences.

gpu_monitor

Monitor your GPUs whether they are on a single computer or in a cluster (by msalvaris)

permon

A tool to monitor everything you want. Clean, simple, extensible and in one place. (by bminixhofer)
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gpu_monitor permon
1 1
158 81
- -
0.0 0.0
about 5 years ago almost 3 years ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gpu_monitor

Posts with mentions or reviews of gpu_monitor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-06.

permon

Posts with mentions or reviews of permon. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-06.

What are some alternatives?

When comparing gpu_monitor and permon you can also consider the following projects:

nvtop - GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm

processhacker - A free, powerful, multi-purpose tool that helps you monitor system resources, debug software and detect malware. Brought to you by Winsider Seminars & Solutions, Inc. @ http://www.windows-internals.com [Moved to: https://github.com/winsiderss/systeminformer]

guider - A Practically Applicable Performance Analyzer for Real Product Development

popmon - Monitor the stability of a Pandas or Spark dataframe ⚙︎

Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.

Cython - The most widely used Python to C compiler