Profiling Streamlit code

🎈 Using Streamlit
1

Is there a way to attach a profiler to a Streamlit app to detect which part of the code is running slowly? I suspect it is with one of my data processing functions, not with the Streamlit display itself.

2

If you haven’t done it yet, put all the code in your main file inside a main() function. Then add code that calls the function using the profiler in the standard library:

import cProfiler


def main():
    # your streamlit app here
    ...


if __name__ == "__main__":
    cProfiler.run("main()")

Learn more about what you can do with the profiler and its output: