Streamlit App
Build beautiful web apps in minutes with Python.
- Status
- Not yet determined
- Last checked
- Unverified
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Streamlit is an open-source app framework for machine learning and data science. It allows users to create interactive web applications using Python scripts, making it easy to share insights and models.
Streamlit stands out as an easy-to-use framework for Python developers to build interactive data apps quickly without deep frontend expertise.
When it fits — and when it doesn’t
A good fit for
Developers who need to quickly create interactive data apps without extensive frontend knowledge.
Data scientists looking for a simple way to share their models and insights with colleagues.
Look elsewhere if
Projects requiring complex, custom web interfaces beyond basic interactivity.
Teams needing enterprise-grade security features out of the box.
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited scalability for large applications
Performance degrades significantly with complex, data-intensive apps; not optimized for production-level deployments
- 02
Small and less diverse community compared to larger frameworks
Fewer contributors and slower response times on issues and feature requests
What it does well
Rapid app development with Python scripts
Interactive widgets for user input
Real-time updates and sharing capabilities
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Streamlit App
Setup steps, common gotchas and what to check after 30 days.