Here you go, after two weeks of effort, finally opening the doors of machine learning capabilities for Apache JMeter by blending it with Streamlit.

Streamlit is the first app framework specifically for Machine Learning and Data Science. You can build custom ML tools by focusing on data rather than the UI.

This app helps you to run JMeter tests and visualize the interactive charts. Under the hood: Python, Streamlit, and Vega Lite.

If you are interested to contribute, please fork at my repo.

https://github.com/QAInsights/Streamlit-JMeter

Next objective is to build the training model to detect the anomalies and more.