streamlit and playground
Playground is a specialized application built on top of Streamlit's framework, making them ecosystem siblings where one is the foundational platform and the other is a derivative tool that extends its capabilities for interactive ML model experimentation.
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 playground
ahmedbesbes/playground
A Streamlit application to play with machine learning models directly from the browser
This tool helps data science practitioners quickly experiment with different machine learning models directly in a web browser. You provide a dataset and configure various model settings, and it displays the model's decision boundary, performance metrics like accuracy and F1 score, training time, and a Python script to reproduce the results. It's designed for data scientists and analysts who want to build intuition about how classical machine learning models behave with different data and parameters.
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