PyMemoryFlow

This is a Streamlit web app which utilizes memory_profiler Python module to help developers visualize memory usage and locate memory leaks.

Contents

How it works
Modules and Libraries used
How to Run

How it works

The developer can upload a Python file to the web app. The file is analyzed and executed in a sandbox environment to get more insights into full-time memory usage.

Currently, there are two tools available:

• Line-by-line Memory Usage

• Plotting memory usage over time

EDIT (06.11.2023) - I have added an option to download results from the above two tools.

I plan to add more new features in near future!

Modules and Libraries used:

• streamlit
• streamlit_extras
• memory_profiler
• matplotlib
• os
• subprocess

How to Run

• Clone the repository

git clone https://github.com/ShreeluSantosh/PyMemoryFlow.git

• Install the required modules from requirements.txt

pip install -r requirements.txt

• Run the root file (Introduction.py)

streamlit run Introduction.py