streamlit and streamlit-analytics

The analytics tool is a complementary extension that adds user interaction tracking and visualization capabilities on top of the core Streamlit framework.

streamlit
82
Verified
streamlit-analytics
57
Established
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 20/25
Maintenance 0/25
Adoption 10/25
Maturity 25/25
Community 22/25
Stars: 43,865
Forks: 4,131
Downloads:
Commits (30d): 169
Language: Python
License: Apache-2.0
Stars: 307
Forks: 60
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
Stale 6m

About streamlit

streamlit/streamlit

Streamlit — A faster way to build and share data apps.

Streamlit helps data scientists, analysts, and domain experts quickly turn their Python scripts into interactive web applications without needing web development expertise. You input a Python script that processes data, and it outputs a shareable web app with dashboards, reports, or chat interfaces for others to explore the results.

data-sharing dashboarding interactive-reporting data-exploration model-demonstration

About streamlit-analytics

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.

Streamlit-app-management user-engagement application-analytics product-feedback data-app-monitoring

Scores updated daily from GitHub, PyPI, and npm data. How scores work