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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

DesignCode UI logo
DesignCode UI
✓ verifiedPaid

Premium Figma and Framer UI kit with hundreds of components, variants and icons for building polished, themeable sites.

5.0K visits/mo
Google Opal logo
Google Opal
✓ verifiedFree

Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.

2.1M visits/mo
Ultralytics logo
Ultralytics
✓ verifiedFreemium

End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.

1.1M visits/mo
Pricing
All-Access: $49 one-time (300+ components)
Pro: $120/year

No public pricing

Free: $0/month (100GB storage, 100 models, 3 concurrent trainings)
Pro: $29/seat/month (500GB storage, 500 models, 10 concurrent trainings)
Core features
  • 300+ Figma UI components
  • 2,000+ Figma variants
  • 2,116 icons
  • Framer-ready components and templates
  • Deep theming (glass, line, flat styles)
  • Adaptive layouts with variables
  • Build AI mini-apps from natural-language prompts
  • Visual editor for prompt/tool workflows
  • Share created apps with others
  • No-code AI app prototyping
  • Smart data annotation with SAM-powered one-click masks across six task types
  • Cloud training with 22+ GPU configurations from RTX 2000 Ada to B200
  • Support for YOLOv5 through YOLO26 model families
  • One-click deployment across 43 global regions with auto-scaling
  • Export to 18 formats including ONNX, TensorRT, and CoreML
  • Live training metrics and experiment comparison dashboard
Use cases
  • Build a website or app UI in Figma
  • Hand off Figma designs to Framer
  • Speed up prototyping with prebuilt components
  • Prototyping an AI workflow quickly
  • Sharing a custom AI mini-app
  • Automating a task with chained prompts
  • Building and training custom object detection or segmentation models
  • Labeling large image/video datasets for computer vision projects
  • Deploying vision models to edge or mobile devices
  • Running quality control or defect detection in manufacturing
  • Powering retail, logistics, or agriculture vision applications
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