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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.

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves
forms app logo
forms app
✓ verifiedPaid

Established online form/survey/quiz builder with automation; very high traffic.

1.1M visits/mo4.2K saves
Aide Dev logo
Aide Dev
✓ verifiedPaid

Aide helps developers code faster with parallel agents and automated workflows.

7.6K visits/mo
Fast AI logo
Fast AI
✓ verifiedFree

Free practical deep-learning courses, the fastai library and a book that make state-of-the-art AI accessible to coders.

Pricing

No public pricing

Basic: 15 USD /month
Pro: 25 USD /month
Premium: 59 USD /month

No public pricing

Standard: $49 per month

No public pricing

Core features
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • Form Builder
  • Survey Maker
  • Quiz Maker
  • Store Builder
  • AI Form Generator
  • 500+ Integrations
  • Template Library
  • Data Analysis Tools
  • Workflow Automation
  • Parallel Agents for faster coding
  • GitHub native integration
  • Automated PR workflow
  • Smart PR suggestions
  • Automatic code reviews
  • Real-time progress tracking
  • Free deep learning courses
  • fastai library for PyTorch
  • nbdev development tool
  • Practical Deep Learning book
  • Blog on AI, ethics and technical topics
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Collecting customer feedback
  • Conducting market research
  • Creating online quizzes for education or entertainment
  • Selling products through online forms
  • Automating business processes
  • Automating code reviews
  • Generating PRs automatically
  • Improving code quality through continuous improvements
  • Learning deep learning as a coder
  • Building models with the fastai library
  • Following AI research and ethics writing
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