streamlit
A faster way to build and share data apps
Decision gist · record as of 2026-08-14
Yes. Streamlit is production-ready (Development Status 5), actively maintained with recent releases, carries no known vulnerabilities, and has permissive licensing. Install friction is low and it's widely used (top 1000 PyPI packages). Choose it if you need to build data apps quickly in pure Python; avoid it only if you require fine-grained control over frontend UI or have strict constraints on dependency count.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Installation is straightforward with low friction.
- The package is actively maintained with a recent release (9 days old) and strong community backing (45546 GitHub stars).
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache 2.0 (permissive), which allows free use, modification, and distribution in both open-source and commercial projects with minimal restrictions—suitable for most deployment scenarios.
last release 2026-08-05 (9 days) · last repo commit 2026-08-14 · 45,546 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 29,672,055 downloads/mo, #811 on PyPI
Alternatives
Verify before relying
pip install streamlit
import streamlit as st
x = st.slider("Select a value")
st.write(x, "squared is", x * x)
# Run with: streamlit run script.py- Whether the 22 runtime dependencies introduce significant disk/memory overhead in constrained environments.
- Performance characteristics when handling large datasets or high-concurrency scenarios.
- Specific deployment costs or limitations on Community Cloud platform.
- Whether custom components or Streamlit Components require additional setup beyond the base install.
What it is and what it does
Streamlit is a Python framework that converts data scripts into interactive web applications without requiring HTML, CSS, or JavaScript knowledge. You write standard Python code using Streamlit's widget library (sliders, text inputs, dataframes, charts), and the framework automatically renders it as a live web interface. It's built on top of Starlette and uvicorn for the web server layer, with support for data visualization through altair and pydeck, and data manipulation via pandas and numpy.
The framework is designed for rapid iteration: changes to your Python script are reflected instantly in the browser, making it ideal for exploratory data analysis, building dashboards, or prototyping machine learning interfaces. It handles the full stack—from local development to deployment via Community Cloud—so you can move from idea to shareable app in minutes rather than weeks.
Use it for
- Build interactive dashboards to explore and visualize datasets without learning web technologies.
- Create rapid prototypes of data analysis tools for stakeholder feedback before formal development.
- Deploy machine learning model interfaces for non-technical users to interact with predictions.
- Generate live reports that update automatically as underlying data changes.
- Build chatbot or LLM interfaces for testing and demonstration purposes.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Streamlit is production-ready (Development Status 5), actively maintained with recent releases, carries no known vulnerabilities, and has permissive licensing. Install friction is low and it's widely used (top 1000 PyPI packages). Choose it if you need to build data apps quickly in pure Python; avoid it only if you require fine-grained control over frontend UI or have strict constraints on dependency count.
Install
streamlit on PyPI
Before you install
Installation is straightforward with low friction. The package is actively maintained with a recent release (9 days old) and strong community backing (45546 GitHub stars). It supports current Python versions (3.10 through 3.14) and carries 22 runtime dependencies, all widely-used libraries like pandas, numpy, and altair.
Requires Python 3.10 or later.
License in practice
Licensed under Apache 2.0 (permissive), which allows free use, modification, and distribution in both open-source and commercial projects with minimal restrictions—suitable for most deployment scenarios.
Quickstart
pip install streamlit
import streamlit as st
x = st.slider("Select a value")
st.write(x, "squared is", x * x)
# Run with: streamlit run script.pyVerify before relying
- Whether the 22 runtime dependencies introduce significant disk/memory overhead in constrained environments.
- Performance characteristics when handling large datasets or high-concurrency scenarios.
- Specific deployment costs or limitations on Community Cloud platform.
- Whether custom components or Streamlit Components require additional setup beyond the base install.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 22 packagesaltairblinkerclicknumpypackagingpandaspillowpydeckprotobufpyarrowrequeststenacitytomltyping-extensionsstarletteuvicornhttptoolsanyiopython-multipartwebsocketsitsdangerouswatchdog |
| Maintenance | Actively maintained 9 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 29,672,055 / month, #811 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: Web EnvironmentIntended Audience :: DevelopersIntended Audience :: Science/ResearchProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Database :: Front-EndsTopic :: Office/Business :: Financial :: SpreadsheetTopic :: Scientific/Engineering :: Information AnalysisTopic :: Scientific/Engineering :: VisualizationTopic :: Software Development :: Libraries :: Application FrameworksTopic :: Software Development :: Widget Sets |
Evidence: streamlit-1.61.1-py3-none-any.whl
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See also streamlit-extras · streamlit-code-editor · dash · altex · markdownlit · streamlit-sortables · streamlit-folium · streamlit-echarts · streamlit-faker · streamlit-ace