AI / ML ML Demo stable
Streamlit
Build data apps in Python with minimal code
40.0K stars
300 contributors
Since 2019
Python framework for creating interactive data applications and dashboards with simple script-based approach, reactive updates, and built-in widgets.
License
Apache-2.0
Min RAM
512 MB
Min CPUs
1 core
Scaling
single_node
Complexity
beginner
Performance
lightweight
Self-hostable
✓
K8s native
✕
Offline
✕
Pricing
fully free
Docs quality
excellent
Vendor lock-in
none
Use cases
- ✓ Build interactive data exploration dashboards
- ✓ Create ML model demos with file upload and predictions
- ✓ Internal analytics tools for non-technical teams
- ✓ LLM chatbot prototypes with conversation UI
Anti-patterns / when NOT to use
- ✕ Not for complex multi-page production apps
- ✕ Reruns entire script on interaction - slow for heavy compute
- ✕ Limited layout control compared to proper frontend frameworks
Integrates with
Compare with alternatives
Replaces / alternatives to
Technical specs
Language
Python
API type
SDK
Protocols
HTTP
Deployment
pipdocker
SDKs
python
Community
GitHub stars 40.0K
Contributors 300
Commit frequency weekly
Plugin ecosystem medium
Backing Snowflake
Funding corporate
Release
Latest version
— Last release —
Since 2019
Best fit
Team size
solosmall
Industries
generalfintechresearchmarketing