Streamlit — A faster way to build and share data apps.
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Updated
Jun 14, 2025 - 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.
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.
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
🤖Self-Modifying Framework from the Future 🔮 World's First AMS
A secure authentication module to manage user access in a Streamlit application.
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
Real-time video and audio processing on Streamlit
🧙 A web app to generate template code for machine learning
智能检索张维为表情包
A multi-page streamlit app for geospatial
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
Created by Adrien Treuille, Amanda Kelly, Thiago Teixeira
Released March 27, 2018
Latest release about 1 month ago