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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
Apify logo
Apify
✓ verifiedFreemium

Full-stack platform for web scraping, data extraction, and automation; category leader.

4.4M visits/mo2.0K saves
Codeflying logo
Codeflying
✓ verifiedFreemium

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

118K visits/mo
Pine Script Wizard AI logo
Pine Script Wizard AI
✓ verifiedPaid

AI Pine Script generator for TradingView strategies and indicators.

9.8K visits/mo4.4K saves
Mito AI logo
Mito AI
✓ verifiedFreemium

Spreadsheet-style Python data tool inside Jupyter that generates code via AI so analysts and data scientists can skip hand-coding.

23K visits/mo
Pricing

No public pricing

Free: $0/mo ($5 included usage)
Starter: $29/mo ($26/mo billed annually)
Scale: $199/mo ($179/mo billed annually)
Business: $999/mo ($899/mo billed annually)

Free trial available

Free: 0$
Basic: 25$
Advanced: 40$
Premium: 200$
Paid Account: $9 USD

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)
  • Web scraping
  • Data extraction
  • Browser automation
  • AI agents
  • Anti-blocking
  • Proxy rotation
  • Open-source tools (Crawlee)
  • Ready-made tools and code templates
  • CodeFlying enables full-stack app creation via chat in minutes
  • AI-powered Pine Script code generation
  • Custom strategy and indicator creation
  • Error correction and code optimization
  • TradingView integration
  • Spreadsheet interface inside Jupyter notebooks
  • AI-generated Python code from spreadsheet actions
  • Runs on customer infrastructure (no data sent to Mito)
  • Bring-your-own LLM API keys
  • Excel-to-Python conversion
  • Compatible with existing Jupyter extensions
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Data for generative AI
  • Lead generation
  • Market research
  • Sentiment analysis
  • Generating custom trading strategies for backtesting on TradingView
  • Creating custom indicators for technical analysis
  • Automating the process of writing Pine Script code
  • Analysts automating Excel-style reports without hand-writing code
  • Data scientists speeding up exploratory data analysis
  • ML engineers iterating on feature engineering in notebooks
  • Enterprises needing private, self-hosted AI coding assistance
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