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Streamlit은 데이터 과학자와 AI/ML 엔지니어가 몇 줄 코드로 인터랙티브 데이터 앱을 만들 수 있는 오픈소스 파이썬 프레임워크입니다
Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.
데이터Python · TypeScriptGitHub @streamlit온라인운영자 미확인
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Streamlit — A faster way to build and share data apps.
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A faster way to build and share data apps.
Streamlit lets you transform Python scripts into interactive web apps in minutes, instead of weeks. Build dashboards, generate reports, or create chat apps. Once you’ve created an app, you can use our Community Cloud platform to deploy, manage, and share your app.README 전문 보기 ↗A faster way to build and share data apps.
Streamlit lets you transform Python scripts into interactive web apps in minutes, instead of weeks. Build dashboards, generate reports, or create chat apps. Once you’ve created an app, you can use our Community Cloud platform to deploy, manage, and share your app.
Open a terminal and run:
$ pip install streamlit
$ streamlit hello
If this opens our sweet Streamlit Hello app in your browser, you're all set! If not, head over to our docs for specific installs.
The app features a bunch of examples of what you can do with Streamlit. Jump to the quickstart section to understand how that all works.
Create a new file named streamlit_app.py in your project directory with the following code:
import streamlit as st
x = st.slider("Select a value")
st.write(x, "squared is", x * x)
Now run it to open the app!
$ streamlit run streamlit_app.py
Streamlit comes in with a ton of additional powerful elements to spice up your data apps and delight your viewers. Some examples:
Our vibrant creators community also extends Streamlit capabilities using 🧩 Streamlit Components.
There's so much you can build with Streamlit:
Check out our gallery! 🎈
Deploy, manage and share your apps for free using our Community Cloud! Sign-up here.
[](URL_TO_YOUR_APP)
🎉 Thanks for your interest in helping improve Streamlit! 🎉
We have paused accepting pull requests from outside the Streamlit maintainer team. You can still make a valuable contribution by reporting bugs, requesting features, improving or upvoting existing issues, commenting on open specs, creating custom components, and contributing to streamlit-extras.
Read our contribution guide for details.
Streamlit is completely free and open-source and licensed under the Apache 2.0 license.