| Overview |
An open-source low-code platform for building internal tools with a visual builder and extensive data source connectors. |
Data-centric AI platform for creating and managing training data with collaborative labeling tools and model-assisted annotation. |
| 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
|
- Data labeling
- Model-assisted labeling
- Catalog
- Workflow automation
- Annotation tools
- Consensus
- Model diagnostics
|
| Pros |
- Open source
- Self-hosted option
- Good community
- Many connectors
|
- User-friendly interface
- Model-assisted labeling
- Good collaboration
- Enterprise features
|
| Cons |
- UI can be janky
- Learning curve
- Community support varies
- Fewer pre-built components
|
- Complex pricing
- Learning curve
- Enterprise-focused
- Can be expensive
|
