| Overview |
An open-source low-code platform for building internal tools with a visual builder and extensive data source connectors. |
AI data platform providing high-quality training data through human annotation combined with AI-assisted labeling tools. |
| Pricing |
Freemium (Free-$40/user/month) |
Pay-per-use ($$$-$$$$) |
| Key Features |
- Open source
- Visual builder
- Data source connectors
- JavaScript widgets
- Git sync
- RBAC
- Audit logs
- Custom widgets
|
- Data labeling
- RLHF
- Model evaluation
- Generative AI
- Sensor fusion
- Custom annotation
|
| Pros |
- Open source
- Self-hosted option
- Good community
- Many connectors
|
- High quality annotations
- Enterprise scale
- Government clients
- RLHF expertise
|
| Cons |
- UI can be janky
- Learning curve
- Community support varies
- Fewer pre-built components
|
- Expensive
- Enterprise focused
- Long setup time
- Complex pricing
|
