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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
Codeflying logo
Codeflying
✓ verifiedFreemium

Vibe-coding builder creating full-stack apps by chatting with AI.

118K visits/mo
Lovable logo
Lovable
✓ verifiedFreemium

AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.

35M visits/mo69K saves
Pipedream logo
Pipedream
✓ verifiedFreemium

Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.

498K visits/mo
Dyad logo
Dyad
✓ verifiedFreemium

Free, local, open-source AI app builder that works with any AI model and exports real code you own, with zero lock-in.

245K visits/mo
Pricing

No public pricing

Free: 0$
Basic: 25$
Advanced: 40$
Premium: 200$

No public pricing

No public pricing

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)
  • CodeFlying enables full-stack app creation via chat in minutes
  • Chat-to-app and website generation
  • Real-time prototype building
  • One-click deploy and hosting
  • Templates to start projects
  • Credit-based building with shared workspaces
  • You own your code and data
  • Visual and code-based workflow builder
  • Prebuilt AI agent builder and deployment
  • Managed authentication across thousands of apps
  • MCP server exposing integrations as agent tools
  • Scheduled and event-triggered workflows
  • Connect SDK for embedding integrations into other products
  • Local-first, open-source app building
  • Works with any AI model or provider
  • Exports real, ownable code (no lock-in)
  • Supabase database, auth, and server functions
  • Built-in security review and fixes
  • Deploy to GitHub and Vercel; MCP server support
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Build web apps without coding
  • Prototype product ideas quickly
  • Create landing pages and sites
  • Ship internal tools
  • Building AI agents that call external APIs and tools
  • Automating cross-app workflows such as Slack, Gmail, or Sheets notifications
  • Embedding third-party integrations into a SaaS product
  • Prototyping event-driven automations without heavy infrastructure
  • Building full-stack apps with your own AI models
  • Prototyping without proprietary platform lock-in
  • Adding database and auth via Supabase
  • Deploying apps to GitHub and Vercel
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