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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.

Angular.dev logo
Angular.dev
✓ verifiedFree

Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.

1.1M visits/mo
Workik logo
Workik
✓ verifiedFreemium

AI coding assistant that gathers project context to plan, generate, test and ship code across the SDLC via IDE and chat integrations.

210K visits/mo
Retool logo
Retool
✓ verifiedFreemium

AI-assisted low-code platform for building governed internal tools and workflows that connect directly to production data.

1.7K saves
Pricing

No public pricing

Trial: $0/month (20 AI requests on signup, 7 requests/day, 50 free flow runs, up to 3 users)
Starter: $15/month billed annually or $25/month (20M standard AI tokens, 1,000 flow runs)
Premium: $30/month billed annually or $50/month (40M standard + 4M advanced AI tokens, 3,000 flow runs)
Elite: $80/month billed annually or $150/month (100M standard + 10M advanced AI tokens, 10,000 flow runs)
Tailored: $62/month (custom AI token allocation)

Free trial available

Free: $0/mo (up to 5 users, 500 workflow runs/month)
Team: $10/mo per builder + $5/mo per internal user (5,000 workflow runs/month)
Business: $50/mo per builder + $15/mo per internal user (audit logging, unlimited resource environments)

Free trial available

Core features
  • Signals-based fine-grained reactivity
  • Built-in control flow and deferrable views
  • Server-side rendering and hydration
  • First-party routing, forms and dependency injection
  • AI-forward tooling and MCP resources
  • In-browser tutorials and playground
  • Automatic context-gathering from connected engineering sources
  • AI-generated code, tests and pull requests from tickets
  • Task planning that breaks complex work into subtasks
  • Auto-updating engineering documentation
  • Vector search over embedded project data
  • Multiple selectable AI models (GPT, Gemini, Claude, Llama, etc.)
  • Engineering productivity analytics dashboard
  • AI prompt-to-app builder for production-ready internal tools
  • MCP server for building apps from external AI coding agents
  • Import of apps built in other platforms via ZIP or GitHub sync
  • Direct, permission-governed connections to production data sources
  • Workflow automation and orchestration across systems
  • Mobile app support alongside web apps
  • Enterprise access controls, SSO and audit logging
  • Self-hosting option for regulated environments
Use cases
  • Building scalable single-page apps
  • Enterprise web application development
  • Performance-critical front ends
  • Learning modern web development
  • Engineering teams automating ticket-to-PR workflows
  • Developers wanting AI-assisted debugging and test generation
  • Engineering managers tracking AI-driven productivity gains
  • Teams centralizing documentation from scattered sources
  • Engineering and ops teams building internal admin tools fast
  • IT centralizing governance over AI-generated business apps
  • Enterprises building embedded portals for external users
  • Teams automating multi-step operational workflows
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