# Streamlit

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/streamlit
- **Dataset:** https://optimly.ai/brand/streamlit.json
- **Markdown:** https://optimly.ai/brand/streamlit/llms.txt
- **Official website:** https://streamlit.io
- **Slug:** streamlit
- **Categories:** data-analytics-business-intelligence, developer-tools

## Overview

- **Tagline:** Enables users to build and deploy interactive web applications and data dashboards entirely in pure Python, eliminating the need for traditional front-end development (HTML, CSS, JavaScript) and complex backend setup.
Source: Brand's website (https://streamlit.io) · 2026-10-04

- **Description:** Streamlit is an open-source Python app framework that enables data scientists and developers to quickly build and share interactive web applications and dashboards from data scripts, without requiring front-end expertise. It offers a magically simple API and various deployment options.
Source: Brand's website (https://streamlit.io) · 2026-10-04

## Offerings

- **Core capabilities:** Open-source Python library for building data applications; Streamlit Community Cloud for free public app deployment; Enterprise-grade deployment facilitated via Snowflake integration.
Source: Brand's website (https://streamlit.io) · 2026-10-04

- **Pricing:** Free (open-source library and Streamlit Community Cloud for public apps); Paid (enterprise-grade deployment through Snowflake integration for private apps and advanced features).
Source: Brand's website (https://streamlit.io) · 2026-10-04

## Audience

- **Target industry:** Data scientists, machine learning engineers, and developers who aim to build and share interactive data applications, dashboards, and machine learning models with minimal front-end coding; enterprises seeking scalable and secure data app deployment.
Source: Brand's website (https://streamlit.io) · 2026-10-04

## Landscape

- **Competitors:**
  - Shiny
Source: Brand's website (https://streamlit.io) · 2026-10-04

Page last updated 2026-10-17.