| Overview |
An open-source low-code platform for building internal tools with a visual builder and extensive data source connectors. |
End-to-end computer vision platform for building, training, and deploying custom object detection and classification models. |
| Pricing |
Freemium (Free-$40/user/month) |
Freemium ($-$$$) |
| Key Features |
- Open source
- Visual builder
- Data source connectors
- JavaScript widgets
- Git sync
- RBAC
- Audit logs
- Custom widgets
|
- Dataset management
- Auto-labeling
- Model training
- Deployment
- Inference
- Active learning
- Universe dataset hub
|
| Pros |
- Open source
- Self-hosted option
- Good community
- Many connectors
|
- Easy to use
- End-to-end platform
- Active learning
- Large community
|
| Cons |
- UI can be janky
- Learning curve
- Community support varies
- Fewer pre-built components
|
- Limited free tier
- Custom models only
- Can be expensive at scale
|
