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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.

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✓ verifiedFreemium

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

👁 775K/mo

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

5.2K
Open Source Database Designs
✓ verifiedFreemium

Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.

👁 27K/mo
Text2SQL
✓ verifiedPaid

AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.

👁 20K/mo14K
Anima
✓ verifiedFreemium

AI design-to-code tool that converts Figma designs or cloned websites into HTML/React and builds apps with vibe coding.

👁 321K/mo1.3K
Pricing

No public pricing

No public pricing

No public pricing

Text2SQL.AI: $7.00-$48.00
Text2SQL.AI Pro: $29.00-$228.00

Free trial available

Free: $0/mo (5 code generations/day, 5 imports)
Enterprise: from $500/mo billed annually (SSO, SLAs)
Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • 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)
  • Library of sample database designs
  • Visual database designer / diagram tool
  • AI database generator
  • Modify and optimize existing schemas
  • SQL script export
  • Dialect converters (MySQL/PostgreSQL/MSSQL)
  • Natural language to SQL query generation
  • Standard and Pro subscription tiers
  • Checkout and billing via Lemon Squeezy
  • Figma-to-code (HTML/React)
  • Clone any or private website to code
  • AI website and app builder
  • Figma agent (Buddy) and design agent
  • Anima MCP server and API
  • Adobe XD support
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Finding a starting schema for a project
  • Designing a database visually
  • Generating a schema with AI
  • Converting between SQL dialects
  • Generating SQL queries without writing raw syntax
  • Helping non-technical users query databases
  • Speeding up ad hoc data lookups for analysts
  • Converting Figma designs to code
  • Cloning sites as starting points
  • Building web apps with AI
  • Automating design-to-code in dev workflows
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