Runtime profiler for Streamlit, powered by pyinstrument.
streamlit-profiler is a Streamlit component that helps you find out which parts of your app are slow. It profiles the code via pyinstrument and shows the results right within your Streamlit app.
Alpha version, use with care.
pip install streamlit-profiler
import streamlit as st
from streamlit_profiler import Profiler
with Profiler():
st.title("My app")
# ... other code
# Or:
# p = Profiler()
# p.start()
# ...
# p.stop()
Then start your app as usual: streamlit run my_app.py
The Profiler class is an extension of pyinstrument.Profiler, so you can use
all of its functions.
FAQs
Runtime profiler for Streamlit, powered by pyinstrument
We found that streamlit-profiler demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
/Security News
A flawed sandbox in @nestjs/devtools-integration lets attackers run code on your machine via CSRF, leading to full Remote Code Execution (RCE).
Product
Customize license detection with Socket’s new license overlays: gain control, reduce noise, and handle edge cases with precision.
Product
Socket now supports Rust and Cargo, offering package search for all users and experimental SBOM generation for enterprise projects.