Streamlit — A faster way to build and share data apps.
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Updated
Oct 31, 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.
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
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! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据!
🖼️ 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
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
A secure authentication module to manage user access in a Streamlit application.
Real-time video and audio processing on Streamlit
🧙 A web app to generate template code for machine learning
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 about 1 month ago