Streamlit

Streamlit turns data scripts into shareable web apps in minutes. All in pure Python. No front‑end experience required.

A Streamlit demo to interactively visualize Uber pickups in New York City:

Clone Repo (use this template)

• In this GitHub repo, click on "Use this Template" (the green button at the top of this page)

• In your GitHub-Account, download the streamlit-app repository to your machine with GitHub Desktop

• In your terminal (Mac) or Anaconda Command Prompt (Windows), cd into the streamlit-app folder

cd streamlit-app

• Now we install all needed Python libraries from the environment.yml file to create a virtual environment named streamlit:

conda env create -f environment.yml

• Activate the streamlit environment:

conda activate streamlit

• cd into 1-first-app

cd 1-first-app

• Start the app:

streamlit run app.py

• While developing a Streamlit app, it's recommended to lay out your editor and browser windows side by side, so the code and the app can be seen at the same time.

• Complete the code with the help of this Cheat Sheet.

• If you are done, go to your terminal and stop your app with Ctrl+C

Guides

• Get familiar with the main concepts

• API reference

• Cheat Sheet

• Layout

• App demo:

streamlit hello