sysres-python | simple script that utilizes the psutil library
kandi X-RAY | sysres-python Summary
kandi X-RAY | sysres-python Summary
sysres-python is a Python library. sysres-python has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However sysres-python build file is not available. You can download it from GitLab.
This is a fairly simple program, but it utilizes the psutil library and specifically provides the ability to quickly get data out from the system about resource usage and prints it to the command line (stdout). There is also an email alert variant. This code is released under the MIT License and is copywriten under this license. See the LICENSE file for details. Copyright (C) 2020 by Thomas Ward teward@ubuntu.com. There are two variants of the script - sysres.py which simply spits out to standard out. The second is sysres-email.py and needs configured to be utilized, as it has test thresholds, test enablement, and alert case conditions which can be used to determine whether or not to send an alert email to a destination address based on CPU usage, RAM usage, or SWAP usage. While it also includes load averages, there is no mechanism configured to actually test load averages and generate alerts based off load averages (though there may be in the near future).
This is a fairly simple program, but it utilizes the psutil library and specifically provides the ability to quickly get data out from the system about resource usage and prints it to the command line (stdout). There is also an email alert variant. This code is released under the MIT License and is copywriten under this license. See the LICENSE file for details. Copyright (C) 2020 by Thomas Ward teward@ubuntu.com. There are two variants of the script - sysres.py which simply spits out to standard out. The second is sysres-email.py and needs configured to be utilized, as it has test thresholds, test enablement, and alert case conditions which can be used to determine whether or not to send an alert email to a destination address based on CPU usage, RAM usage, or SWAP usage. While it also includes load averages, there is no mechanism configured to actually test load averages and generate alerts based off load averages (though there may be in the near future).
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Support
sysres-python has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
sysres-python has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of sysres-python is current.
Quality
sysres-python has no bugs reported.
Security
sysres-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
sysres-python is licensed under the MIT License License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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sysres-python releases are not available. You will need to build from source code and install.
sysres-python has no build file. You will be need to create the build yourself to build the component from source.
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sysres-python Key Features
No Key Features are available at this moment for sysres-python.
sysres-python Examples and Code Snippets
No Code Snippets are available at this moment for sysres-python.
Community Discussions
No Community Discussions are available at this moment for sysres-python.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sysres-python
You can download it from GitLab.
You can use sysres-python 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 sysres-python 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 GitLab.
If you have any questions check and ask questions on community page Stack Overflow .
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