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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.

Project IDX by Google logo
Project IDX by Google
✓ verifiedFree

Google's cloud-based, AI-assisted development environment, now rebranded and merged into Firebase Studio.

Pixels2Flutter logo
Pixels2Flutter
✓ verifiedFree

Turns UI screenshots into working Flutter code.

12K saves

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

5.2K saves
Ai2sql logo
Ai2sql
✓ verifiedFreemium

Text-to-SQL tool that writes dialect-aware queries and gives AI agents governed, read-only database access.

9.0K saves
Jules by Google logo
Jules by Google
✓ verifiedFreemium

Google's asynchronous AI coding agent that autonomously fixes bugs and builds features in GitHub repos, powered by Gemini.

Pricing

No public pricing

No public pricing

No public pricing

Start: $5/mo
Pro: $11/mo (unlimited queries)
Team: $23/mo (5 users)

Free trial available

No public pricing

Core features
  • Cloud-based IDE accessible from the browser
  • AI-assisted coding
  • Cross-platform app development
  • Preconfigured workspaces and templates
  • Now part of Firebase Studio
  • 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)
  • Natural-language to SQL
  • Semantic schema layer
  • Governed MCP/REST gateway
  • Read-only query enforcement
  • 7 database connectors
  • SQL explain, optimize and format
  • Autonomous coding agent
  • GitHub repository integration
  • Runs in a cloud VM
  • Multi-step task planning
  • Opens pull requests with changes
  • Powered by Gemini
Use cases
  • Building apps from anywhere in the browser
  • Prototyping with AI assistance
  • Developing cross-platform applications
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Generating SQL without coding
  • Giving agents safe DB access
  • Explaining and fixing queries
  • Querying live databases
  • Fixing bugs asynchronously
  • Adding features to a codebase
  • Writing and updating tests
  • Automating routine development tasks
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