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Streamlit

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The dominant Python data app framework. 44K stars, 31.8M monthly PyPI downloads, acquired by Snowflake for $800M. Ecosystem giant for deploying data apps — the standard answer for sharing Python analysis as a web app.

Score 90
Streamlit in action

Where it wins

Dominant market position: 44K stars, 31.8M monthly downloads, 319 contributors

Snowflake acquisition at $800M validates as infrastructure-level tooling

The standard answer for 'how do I share my Python analysis as a web app'

Very active development — daily commits, huge ecosystem of add-ons

470 pts HN peak — strong community recognition

Where to be skeptical

Reruns entire script top-to-bottom on every widget interaction — less efficient than reactive models

No notebook mode — app-only, cannot do exploratory data analysis

Infrastructure/deployment surface, not an analysis engine

Editorial verdict

Ecosystem giant — essential infrastructure for deploying data apps, but not an analysis engine. Reruns entire script on every interaction. Include as foundational infrastructure, not a direct AI analysis tool.

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Deploying data apps and dashboards to stakeholders — the standard for sharing Python analysis as a web app

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Observable Framework

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AI-powered data visualization tool from Microsoft Research. Interactive AI agents iterate on chart design from raw data. 15.1K stars, MIT license, very active development.

Evidence

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Public evidence

strong2022-03
Snowflake acquisition for $800M

Validates Streamlit as infrastructure-level tooling. $800M acquisition price.

129 pts / 44 commentsIndustry news / HN

Raw GitHub source

GitHub README peek

Constrained peek so you can sanity-check the source material without leaving the site.

Welcome to Streamlit :wave:

The fastest way to build and share data apps.

Streamlit lets you turn data scripts into shareable web apps in minutes, not weeks. 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!

Example of live coding an app in Streamlit|635x380

Installation

pip install streamlit
streamlit hello

Streamlit can also be installed in a virtual environment on Windows, Mac, and Linux.

A little example

Streamlit makes it incredibly easy to build interactive apps:

import streamlit as st

x = st.slider('Select a value')
st.write(x, 'squared is', x * x)
<img src="https://raw.githubusercontent.com/streamlit/docs/main/public/images/simple_example.png"/>

A bigger example

Streamlit's simple and focused API lets you build incredibly rich and powerful tools.  This demo project lets you browse the entire Udacity self-driving-car dataset and run inference in real-time using the YOLO object detection net.

Final App Animation

The complete demo is implemented in less than 300 lines of Python. In fact, the app contains only 23 Streamlit calls which illustrates all the major building blocks of Streamlit. You can try it right now at share.streamlit.io/streamlit/demo-self-driving.

The Streamlit GitHub badge

Streamlit's GitHub badge helps others find and play with your Streamlit app.

Streamlit App

Once you deploy your app, you can embed this badge right into your GitHub readme.md as follows:

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/yourGitHubName/yourRepo/yourApp/)

More Information

  • Our launch post explaining why we created Streamlit
  • Our Community Cloud platform announcement
  • Our amazing community where Streamlit users share apps, ask questions, and help each other out
  • Streamlit documentation and blog for the latest Streamlit info
  • More demo projects to inspire you
  • And if you would like to contribute, see instructions here

Community Cloud

With Community Cloud you can deploy, manage, and share your apps with the world, directly from Streamlit — all for free. Sign-up here.

License

Streamlit is completely free and open-source and licensed under the Apache 2.0 license.

View on GitHub →