permon VS gpu_monitor

Compare permon vs gpu_monitor and see what are their differences.

permon

A tool to monitor everything you want. Clean, simple, extensible and in one place. (by bminixhofer)

gpu_monitor

Monitor your GPUs whether they are on a single computer or in a cluster (by msalvaris)
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permon gpu_monitor
1 1
81 158
- -
0.0 0.0
over 2 years ago almost 5 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.

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.

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.

What are some alternatives?

When comparing permon and gpu_monitor 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