Glances is a cross-platform monitoring tool written in Python, designed to present a large amount of system monitoring information through curses or a web-based interface that dynamically scales to the size of the user interface, and is a top/htop replacement for GNU/Linux, BSD, Mac OS and Windows operating systems.
It works in client/server mode, remote monitoring can be done via terminal, web interface or API (XML-RPC and RESTful), and statistics can be exported to files or external time/value databases.
In addition to listing all processes and their CPU and memory usage, it can also display other information about the system
Network and disk usage
File system space used and total space
Data from different sensors (e.g. batteries)
and a list of processes that have recently consumed excessive resources
1.Installation of glances
apt install glances
2. Use of glances
Standalone mode operation：
Web Server Mode
Monitor the local machine and start the RESTful server using the web interface, http://0.0.0.0:61208/
Client / Server Mode：
More information on the use of glances, optional parameter options, and use cases can be found at: glances -h for help.
pycallgraph, in combination with the graphviz tool, makes it very easy to visualize the flow of Python application calls Let's take a look at the effect
Have you ever wondered how the spectrum effects of some music software are made and why they look so good? Have you ever wanted to try to extract the music spectrum and visualize it by yourself?
1.Installation of nuitka You can install it directly with pip: pip install Nuitka Download vs2019 (MSVS) or MinGW64
python control computer keyboard and mouse This library allows you to control and monitor input devices. pynput.mouse：Contains classes to control and monitor the mouse or touchpad.
It is equally important for end-users to have the ability to monitor system resource usage. Knowing the resource utilization of your system helps you make clear choices in system maintenance.
Three Steps to Using Groupby First, we need to know that any groupby process involves some combination of the following 3 steps. Grouping the original objects according to the defined criteria
This project uses the StyleGAN algorithm for face editing.,In this project, it is possible to change the hair style of a person in a picture, add a beard to a person, make a person smile, etc.
The character on the far left is the original action, and the top is a static image. By using AI technology, the action of the leftmost character can be applied to the static image above, so that all the pictures can make the same action.
Have you ever thought of downloading Kindle eBooks from Amazon.com to your own computer? The project shared today can help you achieve this purpose. The project is developed in Python, simple, easy to use and open source. First, download the source code