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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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Refraction.dev
✓ verifiedFreemium
AI code-generation tool creating tests, docs and refactors for developers.
👁 2.8K/mo
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Apify
✓ verifiedFreemium
Full-stack platform for web scraping, data extraction, and automation; category leader.
👁 4.4M/mo♥ 2.0K
Pricing
No public pricing
Hobby: Free
Pro: $8 per month
Team: $14 per user per month
Pro: $80 per year
Team: $140 per user per year
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
Gemini Code Assist for individuals (preview): $0/user/month
Gemini Code Assist Standard: $19/user/month (annual commitment) or $22.80/user/month (no commitment)
Gemini Code Assist Enterprise: $45/user/month (annual commitment) or $54/user/month (no commitment)
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)
- ✦Code generation in 56 languages
- ✦Unit test generation
- ✦Code refactoring
- ✦Inline documentation creation
- ✦Bug detection
- ✦Code conversion between languages
- ✦Function creation
- ✦CSP generation
- ✦CSS style conversion
- ✦Debug statement addition
- ✦Web scraping
- ✦Data extraction
- ✦Browser automation
- ✦AI agents
- ✦Anti-blocking
- ✦Proxy rotation
- ✦Open-source tools (Crawlee)
- ✦Ready-made tools and code templates
- ✦AI-powered code completion and generation
- ✦Conversational assistant in IDEs
- ✦Automated code reviews in GitHub
- ✦Integration with Firebase, BigQuery, Apigee, and Application Integration
- ✦Customizable code suggestions based on private source code repositories (Enterprise edition)
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Generating unit tests for existing codebases
- →Refactoring legacy code to modern practices
- →Creating inline documentation for better code understanding
- →Converting code from one language to another
- →Generating SQL queries based on requirements
- →Creating CI/CD pipelines for automated deployment
- →Data for generative AI
- →Lead generation
- →Market research
- →Sentiment analysis
- →Accelerate code development with AI-powered suggestions
- →Reduce code review time and improve code quality
- →Build integrations with AI assistance in various Google Cloud services
- →Generate SQL statements from natural language in Databases
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