jrieke/streamlit-analytics
👀 Track & visualize user interactions with your streamlit app
This tool helps you understand how people interact with your Streamlit applications. It tracks page views and every click or input on your app's widgets, similar to Google Analytics. The results are visualized directly within your app, showing what features users engage with most. This is for anyone who builds and shares Streamlit apps and wants to gain insights into user behavior and app usage.
307 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to see which parts of your Streamlit app are most used and how users navigate it, helping you improve your app's design and functionality.
Not ideal if you require advanced analytics features like unique user tracking with consent forms or complex A/B testing, as these are not yet fully implemented.
Stars
307
Forks
60
Language
Python
License
MIT
Category
Last pushed
Mar 30, 2024
Commits (30d)
0
Dependencies
4
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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jrieke/streamlit-analytics"
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