Streamlit
Claim this toolTurn data scripts into shareable web apps in minutes, all in pure Python.
Free plan available, paid tiers aboveVisit WebsiteThe Bottom Line
- Price
- Free plan available, paid tiers above. Compare plans
Key facts
- Build interactive data apps using pure Python.
- No front-end experience required for web app development.
- Deploy apps instantly and share them with others.
Pros
- Extremely fast to get started and build apps
- Requires no front-end (HTML, CSS, JavaScript) knowledge
- Simplifies the process of sharing data science work
- Highly flexible and compatible with existing Python ecosystems
- Free option for public app deployment
Cons
- Primarily focused on Python, which might be a limitation for non-Python users
- Public apps on Community Cloud are free but lack private options
- Enterprise features like private apps and enhanced security are tied to Snowflake integration
What is Streamlit?
Available on: Web
Ratings Across the Web
Streamlit holds an aggregate rating of 5 out of 5 from 1 reviews across G2, last checked September 17, 2026.
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
- Open-source app framework
- Pure Python API for app development
- Automatic app updates on source file save
- Interactive widgets for user input
- Compatibility with various Python libraries (e.g., Pandas)
- Streamlit Community Cloud for free public app deployment
- Integration with Snowflake for enterprise deployment
- Support for custom components
Pricing Plans
Pricing checked Sep 27, 2026
| Plan | Price | Details |
|---|---|---|
| Streamlit Community Cloud | Free |
|
| Snowflake | Contact us |
|
Is Streamlit worth the price?
Streamlit's pricing is extremely generous for individual developers and small teams, offering a fully functional 'Free' tier for public apps.
It's best for developers and small businesses needing to quickly deploy public data applications.
Reviews

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Streamlit FAQ
How does Streamlit enable rapid application development?
Which teams would benefit most from using Streamlit?
How does Streamlit compare to Anvil for building web applications?
What kind of limitations should users be aware of with Streamlit?
How is Streamlit priced?
Can Streamlit applications be deployed publicly for free?
Does Streamlit integrate with existing Python data science tools?
Source: streamlit.io