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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
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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

👁 775K/mo
Windsurf Editor
✓ verifiedFree trial

AI-powered code editor with agentic workflows for developers.

👁 3.3M/mo
AskYourDatabase
✓ verifiedFreemium

AI chatbot that turns plain-English questions into SQL, letting non-technical teams query and visualize their databases.

👁 10K/mo9.0K
Pricing

No public pricing

No public pricing

No public pricing

Desktop Ultimate: $49/mo
Website Chatbot Scale: $149/mo (1,000 questions/mo)
Website Chatbot Established: $329/mo (1,500 questions/mo)
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)
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • AI-powered code completion and suggestions
  • Automated lint fixing
  • Cascade agent for advanced coding assistance
  • Integrated app building and deployment
  • MCP server support for custom tools
  • Terminal command integration
  • Memory of codebase structure and workflow
  • Natural-language to SQL queries
  • Automatic data visualization
  • Natural-language dashboard builder
  • Works with many major databases
  • Embeddable chatbot widget
  • Fine-grained access control and self-hosting
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Accelerating software development by automating repetitive tasks
  • Reducing onboarding time for new developers
  • Improving code quality and reducing tech debt
  • Streamlining the app building and deployment process
  • Enhancing developer productivity by keeping them in a state of flow
  • Ad-hoc queries for non-technical staff
  • Building dashboards without SQL
  • Embedding data chat for customers
  • Exploring production databases safely
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