Streamlit.
The fastest way to
build data apps

Streamlit’s open-source app framework is the easiest way for data scientists and machine learning engineers to create beautiful, performant apps in only a few hours! All in pure Python. All for free.

Rapidly build the tools you need. This semantic search engine and model comparison tool was built from scratch with only 23 Streamlit function calls. View source on GitHub

Get started instantly

$ pip install streamlit

Click to copy

$ streamlit hello

Click to copy

And then check out our documentation and forum!

Streamlit combines three simple ideas

Embrace
Python
scripting

Build an app in a few lines of code with our magically simple API. Then see it automatically update as you save the source file.

MyApp.py

import streamlit as st

import pandas as pd

st.write("""
# My first app
Hello *world!*
""")

df = pd.read_csv("my_data.csv")

st.line_chart(df)

MyApp • Streamlit

My first app

Hello world!

Weave in interaction

Adding a widget is the same as declaring a variable. No need to write a backend, define routes, handle HTTP requests, etc.

MyApp.py

import streamlit as st

st.write("""
# Apps with widgets!
""")

x = st.slider("Select a number", 0, 100)‍

st.write("You selected", x)

MyApp • Streamlit

Apps with widgets!

Select a number

You selected:

Deploy
instantly

Host it yourself or use Streamlit For Teams to effortlessly deploy, manage, and collaborate on apps.
Join the beta now!

MyApp.py

$ git push origin master

Compressing objects: 95% (10/11), done.
Writing objects: 0% (0/12), 0.10 KiB | 12.64 MiB MiB/s, done.

To https://github.com/foo/bar
15b309f..899c706 master -> master

Done!

MyApp • Streamlit

Sentiment Analysis

Our models are updated every day. Use this UI to debug it.

Model

Setan_model_20190104_002PST

Text to analyze

I’ve been using their service for 5 months now and every single day I marvel at how amazing it is!

value

Result

Confidence

Positive

0.876

Sentiment Analysis

Our models are updated every day. Use this UI to debug them.

Model

Setan_model_201901...

Text to analyze

I’ve been using their service for 5 months now and every single day I marvel at how amazing it is!

value

Result

Confidence

Positive

0.876

A minimal framework for powerful apps

Real time object detection

An image browser for the Udacity self-driving-car dataset with real-time object detection.

See on GitHub

Geographic data browser

Interactive visualization of Uber pickups in New York City.

See on GitHub

Face-GAN explorer

App that uses Shaobo Guan’s TL-GAN project from Insight Data Science, TensorFlow, and NVIDIA's PG-GAN to generate faces that match selected attributes.

See on GitHub