Gradio vs Streamlit
| Feature | Gradio | Streamlit |
|---|---|---|
| Category | AI / ML | AI / ML |
| Sub-category | ML Demo | ML Demo |
| Maturity | stable | stable |
| Complexity | beginner | beginner |
| Performance tier | lightweight | lightweight |
| License | Apache-2.0 | Apache-2.0 |
| License type | permissive | permissive |
| Pricing | fully free | fully free |
| GitHub stars | 37.0K | 40.0K |
| Contributors | 400 | 300 |
| Commit frequency | daily | weekly |
| Plugin ecosystem | none | medium |
| Docs quality | excellent | excellent |
| Backing org | Hugging Face | Snowflake |
| Funding model | vc_backed | corporate |
| Min RAM | 256 MB | 512 MB |
| Min CPU cores | 1 | 1 |
| Scaling pattern | single_node | single_node |
| Self-hostable | Yes | Yes |
| K8s native | No | No |
| Offline capable | No | No |
| Vendor lock-in | none | none |
| Languages | Python | Python |
| API type | REST, SDK | SDK |
| Protocols | HTTP | HTTP |
| Deployment | pip, docker | pip, docker |
| SDK languages | python | python |
| Team size fit | solo, small | solo, small |
| First release | 2019 | 2019 |
| Latest version | — | — |
When to use Gradio
- ✓ Share ML model demos with stakeholders via link
- ✓ Build internal data labeling tools
- ✓ Create interactive AI applications for non-technical users
- ✓ Prototype and test models before production deployment
When to use Streamlit
- ✓ 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
Gradio anti-patterns
- ✕ Not for production-grade web applications
- ✕ Limited customization compared to React/Vue
- ✕ Not suitable for complex multi-page apps
Streamlit anti-patterns
- ✕ Not for complex multi-page production apps
- ✕ Reruns entire script on interaction - slow for heavy compute
- ✕ Limited layout control compared to proper frontend frameworks