Streamlit

Streamlit

Freemium

A faster way to build and share data apps.

Data Apps

Published 29 May 2026 · Last updated 27 September 2026

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Scores

Popularity3/5

Popular within the data science community; less known outside ML and analytics circles.

Learning Curve2/5

Minimal Python API; a working web app runs in under 20 lines of code.

Flexibility3/5

Simple script model is easy but constrains layout, state management, and navigation.

Performance2/5

Reruns the entire script on each interaction; not suited for high-frequency or real-time workloads.

Portability3/5

Script model is unique; switching to Gradio or Dash requires a full rewrite.

About Streamlit

Streamlit is an open-source Python library that turns data scripts into shareable web apps with very little code. There is no HTML, CSS, or JavaScript to write: widgets are declared as ordinary Python calls that return values, and the script reruns from top to bottom on each interaction, which keeps the programming model close to a notebook.

It is widely used for machine learning demos, internal dashboards, data exploration tools, and LLM chat interfaces, with chat elements built in. Charts come natively or through Plotly, Altair, Matplotlib, and Vega-Lite, alongside interactive dataframes, file uploaders, forms, and layout primitives such as columns, tabs, and a sidebar. Caching decorators (st.cache_data, st.cache_resource) avoid recomputing expensive steps on each rerun, and fragments rerun only part of a page.

Multi-page apps use built-in navigation, and custom components embed JavaScript widgets when the standard set is not enough. A large community library of third-party components covers maps, editors, and authentication. Snowflake acquired Streamlit in 2022, and the library is maintained there under the Apache 2.0 license.

The library is free to self-host anywhere Python runs. Streamlit Community Cloud deploys apps from a GitHub repository for free, with unlimited public apps and one private app at a time, and Streamlit in Snowflake runs apps inside a Snowflake account on Snowflake compute, billed through Snowflake.

Key Features

  • Interactive web apps written as plain Python scripts
  • Widget library: sliders, buttons, selectboxes, file uploaders, forms
  • Native charts plus Plotly, Altair, Matplotlib, and Vega-Lite
  • Chat elements for LLM interfaces
  • Caching decorators and fragments for faster reruns
  • Multi-page apps with built-in navigation
  • Custom components API for third-party JavaScript widgets
  • Free deployment on Streamlit Community Cloud

Pros

  • Fastest way to turn a Python script into a working app
  • No frontend knowledge needed, a natural fit for data scientists
  • Free Community Cloud hosting from a GitHub repository
  • Well suited to ML demos, LLM chat apps, and internal dashboards
  • Large community and third-party component library

Cons

  • Whole-script reruns get slow in complex apps without careful caching
  • Limited layout and styling control compared to web frameworks
  • Not built for high-traffic public apps or complex state
  • Community Cloud allows only one private app at a time
  • No built-in real-time collaboration between users

Streamlit Pricing

Freemium
Community CloudFree
  • · Unlimited public apps deployed from GitHub
  • · One private app at a time, from a private repository
  • · Shared compute resources
  • · Community support
Streamlit in SnowflakeContact sales
  • · Apps run inside a Snowflake account on Snowflake compute
  • · Role-based access control and governance from Snowflake
  • · Direct access to Snowflake data with no data movement
  • · Billed through Snowflake compute and storage

Tech Stacks with Streamlit

Python Dashboard Starter

Project

Everything a beginner data scientist needs: Python + pandas for analysis, Streamlit (or Panel or Dash) for interactive apps, and PostgreSQL for structured data storage.

Python
Python

Programming

PostgreSQL
PostgreSQL

Databases

Streamlit Cloud
Streamlit Cloud

Hosting

Pandas
Pandas

Data

Streamlit
Streamlit

Data

Details Sandbox
Deploy on:
Data App Framework:
CI/CD add-on:
Containerization add-on:
LLM add-on:
AI Agent add-on:

Streamlit on Snowflake

Project

Build interactive data apps that run natively on Snowflake infrastructure. Streamlit apps connect directly to Snowflake's data warehouse using the Snowpark Python library: no separate hosting, no Pandas needed, and no data leaves Snowflake. Ideal for analytics dashboards and internal tools backed by large-scale Snowflake datasets.

Python
Python

Programming

Snowflake
Snowflake

Databases

Streamlit in Snowflake
Streamlit in Snowflake

Hosting

Streamlit
Streamlit

Data

Details Sandbox
CI/CD add-on:

Tools Related to Streamlit

Child tools of Streamlit(1)

Streamlit Cloud

Streamlit Cloud

Streamlit's managed hosting for data apps: push to a Git repo and the app deploys on a public URL, with no server to manage.

Freemium
Hosting & Cloud
5/5

Streamlit Cloud is Streamlit's own managed hosting for deploying Streamlit apps from a connected Git repo.

Works well with Streamlit(4)

Pandas

Pandas

The standard Python library for tabular data manipulation and analysis, built around the DataFrame and Series and used across data science, analytics, and machine learning work.

Open Source
Data & ML Libraries
5/5

Streamlit renders Pandas DataFrames as interactive tables with a single call — st.dataframe() is used in almost every Streamlit app.

NumPy

NumPy

NumPy is the fundamental package for numerical computing in Python, providing powerful N-dimensional array objects, mathematical functions, and linear algebra routines.

Open Source
Data & ML Libraries
4/5

Streamlit accepts NumPy arrays in chart and display functions directly, making numerical computing results immediately visual.

scikit-learn

scikit-learn

scikit-learn is the standard Python library for classical machine learning, offering a consistent API for classification, regression, clustering, dimensionality reduction, and model evaluation.

Open Source
Data & ML Libraries
4/5

Streamlit apps often surface scikit-learn model results interactively — sliders for hyperparameters, live predictions, and confusion matrices in a few lines of Python.

PyTorch

PyTorch

PyTorch is the leading open-source deep learning framework, providing dynamic computation graphs, GPU-accelerated tensor operations, and a rich ecosystem for building and deploying neural networks.

Open Source
Data & ML Libraries
3/5

Streamlit is a quick way to wrap a trained PyTorch model in a web UI for demos and inference testing without any JavaScript.

Integrates with Streamlit(2)

Snowflake

Snowflake

Snowflake is a cloud data platform that separates storage, compute, and services. Virtual warehouses start and pause in seconds, and many can query the same data at once, making it a leading warehouse for multi-workload analytics.

Usage Based
Databases
5/5

Streamlit connects to Snowflake natively via the Snowpark Python library, allowing apps to query and visualize warehouse data without a separate backend or data extraction step.

Hugging Face Spaces

Hugging Face Spaces

Hugging Face's hosting for ML demo apps: push a Streamlit, Gradio, or static app and it runs on a public URL, free on CPU.

Freemium
Hosting & Cloud
4/5

Streamlit is one of the SDKs Spaces builds and serves natively, alongside Streamlit's own Community Cloud — a Streamlit app deploys to a Space with the same app file and no extra configuration.

Alternatives to Streamlit(5)

Gradio

Gradio

Gradio is an open-source Python framework for rapidly building shareable demos and web interfaces for machine learning models, APIs, and Python functions with minimal code.

Open Source
Data Apps
4/5

Both Python dashboard tools; Gradio specializes in ML model demos with typed input/output widgets, Streamlit is a more general data app builder.

Dash

Dash

Python framework from Plotly for building analytical web apps and interactive dashboards on Flask, React, and Plotly.js, without writing JavaScript.

Freemium
Data Apps
4/5

Both Python frameworks for interactive data apps; Dash has a more structured React/Plotly architecture suited to production, Streamlit is simpler and script-like.

Panel

Panel

Panel is a Python library from the HoloViz ecosystem for building powerful interactive dashboards and web apps, with deep integration across the scientific Python stack.

Open Source
Data Apps
4/5

Both Python dashboard frameworks; Panel supports more complex multi-page layouts and production dashboards, Streamlit is faster to prototype with.

NiceGUI

NiceGUI

NiceGUI is a Python framework for building web-based GUIs with a backend-first philosophy, running on FastAPI and Vue/Quasar with real-time WebSocket state sync.

Open Source
Data Apps
3/5

Nicegui and Streamlit are both Python web UI frameworks; NiceGUI offers more component flexibility and runs locally, Streamlit has a larger data science ecosystem.

Reflex

Reflex

Full-stack Python web framework that compiles Python components into a React frontend and keeps app state in a Python backend, so web apps are built without JavaScript.

Freemium
Data Apps
3/5

Reflex and Streamlit are both pure-Python web app frameworks; Reflex targets full-featured web apps, Streamlit is optimized for quick data scripts.

Links

Website Docs GitHub

Vendor

Snowflake

Tags

PythonOpen SourceFree TierData VisualizationWeb DevelopmentDashboardsData Science

Details

Maintained
Yes
Primary language
Python
Domain
Data
GitHub stars
45.8k
Stars updated
2026-09-23