Streamlit

Streamlit is a magical frontend for data science and machine learning. Here is an example of how to use it:

Installation

Install with:

$ pip install streamlit

Static Example

Copy and paste this example into a file such as program.py:

import streamlit as st
import numpy as np
import time

st.title('Streamlit Example')
st.write('Hello, World!')
st.write(np.random.randn(200, 200))

st.subheader('A Progress Bar')
bar = st.progress(0)
for i in range(100):
  bar.progress(i + 1)
  time.sleep(0.1)

Then run it with streamlit run program.py, which should start Streamlit.

More Help

For more help and a complete API documentation, please run:

$ streamlit docs

Contributing to Streamlit

See the wiki.