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.
Created by Adrien Treuille, Amanda Kelly, Thiago Teixeira
发布于 March 27, 2018
#计算机科学# streamlit 是一个通过Python脚本生成可视化交互式Web页面的工具，适合数据分析师
#计算机科学# 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
翻译 - with使用Web API，交互式GUI等将您的机器学习代码转换为微服务。
Windrecorder is a memory search app by records everything on your screen in small size, to let you rewind what you have seen, query through OCR text or image description, and get activity statistics.
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
#计算机科学# The purpose of this project is to share knowledge on how awesome Streamlit is and can be
翻译 - 该项目的目的是分享有关Streamlit的出色表现以及可以做到的知识
#大语言模型# 🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
#计算机科学# 🧙 A web app to generate template code for machine learning
翻译 - web一个Web应用程序可生成用于机器学习的模板代码
A multi-page streamlit app for geospatial
翻译 - 用于地理空间的多页流线型应用程序
#大语言模型# Open-source tool to visualise your RAG 🔮
#自然语言处理# 👑 spaCy building blocks and visualizers for Streamlit apps
翻译 - Stream适用于Streamlit应用程序的spaCy构建块和可视化工具
Using shadcn-ui components in streamlit
Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js
Ask questions about any data source by leveraging langchains
#自然语言处理# Repository for Project Insight: NLP as a Service
翻译 - Project Insight的存储库：NLP即服务
