A resource monitor that records resource usage (e.g., CPU usage, RAM usage and free, disk I/O count, NIC speed, etc.) and outputs the data in CSV format that is easy to post-process.
Jupyter Notebook Extension for monitoring your own Resource Usage
System Resource Usage Profiler
Record the CPU and memory activity of a process
An example illustrating how to use Python to manage your Azure storage account
Reports the resource usage of Docker containers to InfluxDB
Pytest plugin for analyzing resource usage during test sessions
A simple low-resource usage Kalman Filter using shared resources - in MyHDL