Streamlit is completely free and open-source and licensed under the Apache 2.0 license. Help others find and play with your app by using the Streamlit GitHub badge in your repository:.Extend Streamlit's capabilities by installing or creating your own Streamlit Components.Streamlit docs, community forum and blog.There's so much you can build with Streamlit:Ĭheck out our gallery! 🎈 Community Cloudĭeploy, manage and share your apps for free using our Community Cloud! Sign-up here. Our vibrant creators community also extends Streamlit capabilities using 🧩 Streamlit Components. Project description tensorflow-gpu has been removed. Streamlit comes in with a ton of additional powerful elements to spice up your data apps and delight your viewers. Released: Removed: please install 'tensorflow' instead. Now run it to open the app! $ streamlit run streamlit_app.py Jump to the quickstart section to understand how that all works.Ĭreate a new file streamlit_app.py with the following code: import streamlit as st x = st. The app features a bunch of examples of what you can do with Streamlit. 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. Open a terminal and run: $ pip install streamlit
It’s all Python, open-source, and free! And once you’ve created an app you can use our Community Cloud platform to deploy, manage, and share your app. Streamlit lets you turn data scripts into shareable web apps in minutes, not weeks.
A faster way to build and share data apps.
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