A faster way to build and share data apps.
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The Streamlit organization maintains a significant public presence on GitHub, featuring a wide range of repositories primarily focused on data applications. Key programming languages include Python, TypeScript, and JavaScript. Notable projects such as Streamlit, demo-self-driving, and llm-examples showcase their commitment to enhancing the development and sharing of data-driven applications.
Streamlit — A faster way to build and share data apps.
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
Streamlit LLM app examples for getting started
Templates and example code for creating Streamlit Components
Example Streamlit app that you can fork to test out share.streamlit.io
A Streamlit demo to interactively visualize Uber pickups in New York City
A demonstration of using a live Tensorflow session to create an interactive face-GAN explorer.
Streamlit App Starter Kit helps kick start your Streamlit app creation.
30 Days of AI
A collection of agent skills for development of Streamlit apps.
Source code for the Streamlit Python library documentation
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Streamlit app demonstrating using LangChain and retrieval augmented generation with a vectorstore and hybrid search
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This repository shares recipes on building Streamlit apps with various tools.
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#30DaysOfStreamlit is a 30-day social challenge for you to build and deploy Streamlit apps.
Example repository for running Snowflake Arctic on Streamlit
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A public roadmap for Streamlit
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🎓 Diploma PDF Generator
A Streamlit app that provides insights on your Snowflake account usage.
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A Streamlit app to show how you can easily empower viewers to comment and collaborate on your app using a commenting component. The comments are hosted on a Google Sheets.
This is a demo of a dataframe with editable cells, powered by `streamlit-aggrid` from Pablo Fonseca. You can edit the cells by clicking on them and then export your selection to a csv file! 🎈
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A Streamlit demo demonstrating the Deep Dream technique. Adapted from the TensorFlow Deep Dream tutorial.
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App showing all the emoji shortcodes supported by Streamlit
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A custom component designed to follow the bokeh chart component
A demo Streamlit dashboard exploring the classic Seattle Weather dataset.
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Simple GitHub Action workflows for validating a Streamlit app
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Showcase app for Theming (Light Theme)
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Prototype plugin to turn Figma components into st code snippets
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Chemical molecule custom component for Streamlit apps
The App you get when you run `streamlit hello` extracted as its own app.
An app that makes it easy to connect to a user's data warehouse and make a dashboard out of it.
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Build a chatbot powered by LlamaIndex that augments GPT 3.5 with the contents of the Streamlit docs (or your own data).
Showcase app for Theming (Custom Theme, Blue)
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A demo Streamlit app analyzing the "Movies" dataset.
A simple to-do list written in Streamlit.
Computer Vision app
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Design your Material-UI buttons, add clickable hyperlinks, integrate them in your Streamlit apps! 🎈
App used to preview Streamlit Core PRs inside S4T
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Streamlit app that generates SVGs for use in our blog
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A Streamlit app demonstrating usage of the pydeck library to display geospacial data
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Public-Facing gallery for our website. PRs welcome!
Central repo to reproduce bugs
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#30DaysOfStreamlit es una competencia de 30 días para construir y desplegar aplicaciones hechas con Streamlit.
An example Streamlit app that demonstrates using Snowflake to join two datasets that use obfuscated IDs for data security
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Showcase app for Theming (Dark Theme)
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One app to test them all! (All the features in Streamlit).
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Showcase app for Theming (Custom Theme, Green)
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Snowflake LLM-based text to SQL and document retrieval in Streamlit
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Streamlit builds a variety of tools and applications on GitHub, emphasizing data app development. Their main repository, Streamlit, provides a framework for creating interactive web applications using data science.
Streamlit primarily utilizes Python, TypeScript, JavaScript, and HTML for its projects. This diverse language use supports a wide range of functionalities within their repositories.
Yes, all of Streamlit's repositories are public on GitHub. This openness allows developers and data scientists to explore, contribute, and leverage their tools for building data applications.
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