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.
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.
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!!
This project teaches data professionals how to build interactive web applications for data analysis and machine learning. You will learn to take raw data, analyze it, visualize results, and embed machine learning models into user-friendly apps. This is ideal for data scientists, analysts, and researchers who want to share their insights and models with non-technical stakeholders.
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