streamlit and streamlit-for-datascience

The "streamlit-for-datascience" project is a resource (likely a tutorial or example repository) built *using* Streamlit, making them ecosystem siblings where the former demonstrates how to leverage the latter for data science applications.

streamlit
95
Verified
Maintenance 25/25
Adoption 25/25
Maturity 25/25
Community 20/25
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 20/25
Stars: 43,865
Forks: 4,131
Downloads: 31,095,955
Commits (30d): 189
Language: Python
License: Apache-2.0
Stars: 71
Forks: 32
Downloads:
Commits (30d): 0
Language: Python
License:
No risk flags
No License Stale 6m No Package No Dependents

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-for-datascience

dataprofessor/streamlit-for-datascience

The Streamlit for Data Science shows how to build interactive data apps powered by data visualization and machine learning!!

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