amdfan | Updated AMD Fan control utility forked from amdgpu-fan
kandi X-RAY | amdfan Summary
kandi X-RAY | amdfan Summary
amdfan is a Python library. amdfan has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However amdfan build file is not available. You can install using 'pip install amdfan' or download it from GitHub, PyPI.
Is a fork of amdgpu-fan, with security updates and added functionality. This is intended for stand-alone GPU's and not integrated APU's.
Is a fork of amdgpu-fan, with security updates and added functionality. This is intended for stand-alone GPU's and not integrated APU's.
Support
Quality
Security
License
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Support
amdfan has a low active ecosystem.
It has 7 star(s) with 1 fork(s). There are 2 watchers for this library.
There were 1 major release(s) in the last 12 months.
There are 4 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of amdfan is 0.1.28
Quality
amdfan has 0 bugs and 0 code smells.
Security
amdfan has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
amdfan code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
amdfan is licensed under the GPL-2.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
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amdfan releases are available to install and integrate.
Deployable package is available in PyPI.
amdfan has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 393 lines of code, 32 functions and 5 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed amdfan and discovered the below as its top functions. This is intended to give you an instant insight into amdfan implemented functionality, and help decide if they suit your requirements.
- Loop forever .
- Initialize the fan curve .
- Return a list of Card objects .
- Run FanController as a daemon .
- Manage the system .
- Set the fan speed .
- Set the power control fan .
- Show a table of cards .
- Calculates the speed for a given temperature .
- Monitor the card s cards .
Get all kandi verified functions for this library.
amdfan Key Features
No Key Features are available at this moment for amdfan.
amdfan Examples and Code Snippets
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#Fan Control Matrix.
# [,]
speed_matrix:
- [4, 4]
- [30, 33]
- [45, 50]
- [60, 66]
- [65, 69]
- [70, 75]
- [75, 89]
- [80, 100]
# Current Min supported value is 4 due to driver bug
#
# Optional configuration options
#
# Allows for some leeway +/- te
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speed_matrix:
- [4, 4]
- [30, 33]
- [45, 50]
- [60, 66]
- [65, 69]
- [70, 75]
- [75, 89]
- [80, 100]
threshold: 4
frequency: 5
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Usage: amdfan.py [OPTIONS]
Options:
--daemon Run as daemon applying the fan curve
--monitor Run as a monitor showing temp and fan speed
--manual Manually set the fan speed value of a card
--configuration Prints out th
Community Discussions
No Community Discussions are available at this moment for amdfan.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install amdfan
You can install using 'pip install amdfan' or download it from GitHub, PyPI.
You can use amdfan like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use amdfan like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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