Streamlit — A faster way to build and share data apps.
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Updated
Sep 8, 2024 - Python
Streamlit is an open source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science.
Turn your data scripts into shareable web apps in minutes, without requiring any front-end web experience.
Streamlit — A faster way to build and share data apps.
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A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
A one-stop data processing system to make data higher-quality, juicier, and more digestible for (multimodal) LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
🤖Self-Modifying Framework from the Future 🔮 World's First AMS
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Create 🦜️🔗 LangChain apps by just using prompts🌟 Star to support our work! |
A secure authentication module to manage user access in a Streamlit application.
🧙 A web app to generate template code for machine learning
Real-time video and audio streams over the network, with Streamlit.
In-browser Streamlit 🎈🚀
🏆 A ranked gallery of awesome streamlit apps built by the community
Open-source tool to visualise your RAG 🔮
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Created by Adrien Treuille, Amanda Kelly, Thiago Teixeira
Released March 27, 2018
Latest release 12 days ago