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

How it works
Modules and Libraries used
How to Run

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!

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

• 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