
Research
Malicious npm Package Brand-Squats TanStack to Exfiltrate Environment Variables
A brand-squatted TanStack npm package used postinstall scripts to steal .env files and exfiltrate developer secrets to an attacker-controlled endpoint.
streamlit-profiler
Advanced tools
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.
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