Tags / Data science /
Data app framework
A framework to build interactive data or ML web apps from Python or R code, such as Streamlit or Gradio.
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readme:
Streamlit lets you transform Python scripts into interactive web apps in minutes, instead of weeks.
readme:
Gradio is an open-source Python package that allows you to quickly **build** a demo or web application for your machine learning model, API, or any arbitrary Python function.
readme:
Reflex is a library to build full-stack web apps in pure Python.
- plotly/dash24K
readme:
Dash is the most downloaded, trusted Python framework for building ML & data science web apps
readme:
deploy as an interactive web app or slides, run in the browser via WASM
- Avaiga/taipy19K
readme:
Taipy is designed for data scientists and machine learning engineers to create data & AI driven web applications.
readme:
NiceGUI is an easy-to-use, Python-based UI framework, which shows up in your web browser.
description:
Voilà turns Jupyter notebooks into standalone web applications
- rstudio/shiny5.7K
readme:
Easily build rich and productive interactive web apps in R — no HTML/CSS/JavaScript required.
- mljar/mercury4.4K
readme:
Mercury is a framework that helps you build interactive web applications directly from Python notebooks.
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