stressberry
A Python package for stress testing Raspberry Pi CPUs and generating temperature plots to compare cooling solutions.
What is stressberry?
stressberry is a Python tool designed to test Raspberry Pi core temperatures under varying CPU loads and produce comparative plots. It helps users evaluate the effectiveness of different cooling methods, from passive heat sinks to active fan cases, by visualizing thermal performance during stress tests.
Raspberry Pi users and developers who need to assess and compare thermal management solutions, such as hobbyists, hardware tinkerers, and system integrators working on cooling optimization.
It provides a straightforward, reproducible method to generate empirical data and visual plots for thermal performance, enabling informed decisions about cooling hardware based on actual stress test results.
Overview
Stress tests for the Raspberry Pi :sweat_smile:
Use Cases
Best For
- Evaluating the effectiveness of different Raspberry Pi cooling solutions like heat sinks, cases, and fans.
- Generating comparative temperature plots to visualize thermal performance under CPU stress.
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