Skip to main content

The fastest way to build data apps in Python (better with SSL)

Project description

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)

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

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.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

streamlit-with-ssl-1.15.2.1.tar.gz (9.0 MB view details)

Uploaded Source

Built Distribution

streamlit_with_ssl-1.15.2.1-py2.py3-none-any.whl (9.2 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-with-ssl-1.15.2.1.tar.gz.

File metadata

  • Download URL: streamlit-with-ssl-1.15.2.1.tar.gz
  • Upload date:
  • Size: 9.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for streamlit-with-ssl-1.15.2.1.tar.gz
Algorithm Hash digest
SHA256 07c6b56f399ec4ad16491ed824f61ecad9ea65bbe81b885eec81472fd5ad77a2
MD5 f9c8fc3fff5f8216444920101bca4d0c
BLAKE2b-256 d327aa988117e0b0a4d036fdc2c0652c085213c8400984e73b0265152db9d4bd

See more details on using hashes here.

File details

Details for the file streamlit_with_ssl-1.15.2.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_with_ssl-1.15.2.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 98ec8679c3c4c765831fd43504c20244c8d80af64345d67cc93af13005299f11
MD5 8919801fc1a573c4721be158e645475d
BLAKE2b-256 239615da65d8451a8c6c3ebcb15dacc47347b55fe7b917a3deafa6ae5c1c916a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page