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Cpu Monitoring Python Packages

Python packages with the GitHub topic cpu-monitoring. Sorted by monthly downloads, with stars and forks.
CFMTech
pytest-monitor

Pytest plugin for analyzing resource usage during test sessions

78K 180 17
rbonghi
jetson-stats

📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series

39K 3K 332
gafoo173
hardview

A hardware monitoring project that provides high-performance tools, Python libraries, and C++ header files for retrieving and displaying detailed hardware information.

13K 14 0
rbonghi
cordatus-jtop-service

📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series

431 3K 332
mcrespoae
metrit

Python decorator for comprehensive monitoring of CPU, RAM, and I/O usage of functions.

179 2 0
rbonghi
jetson-stats-customized

📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series

172 3K 332
CFMTech
monitor-server-api

Monitor-server-api helps you to collect, historicize and exploit the data from your tests written with pytest and monitored with pytest-monitor.

143 3 1
Arg0s1080
statux

Python module for hardware and system monitoring (Linux)

98 8 3
scrrlt
carbon-ops

Application performance monitor (APM) for energy logging and carbon estimation in Python applications with uncertainty-aware marginal emissions.

96 9 0
rushi47
cgrputil

cgrputil is python library to calculate cpu utilisation of code over specific time interval inside docker container.

96 2 0
Mikyx-1
procstats

A comprehensive library to monitor resoruces of a process/function.

91 3 0
gavinlyonsrepo
rpi-tempmon

System monitoring program for Raspberry pi single board computers written in Python 3.

88 87 15
yogeshsd
sysperf

System performance dashboard showing real time cpu, memory, swap, disk and network performance metrics

58 2 0
ashutoshvarma
tslogs

ThrottleStop logs parsers and visualizer

40 0 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology