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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.

Apify logo
Apify
✓ verifiedFreemium

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

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

Turns Git commits and PRs into AI-summarized daily or weekly reports delivered to Slack or email, no source access.

7.6K visits/mo
1.7K visits/mo
Aide Dev logo
Aide Dev
✓ verifiedPaid

Aide helps developers code faster with parallel agents and automated workflows.

7.6K visits/mo
Fast AI logo
Fast AI
✓ verifiedFree

Free practical deep-learning courses, the fastai library and a book that make state-of-the-art AI accessible to coders.

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

No public pricing

Free trial available

Historical Data Pack: $49.9
Base Plan: $14.9/month
Advanced Plan: $24.9/month
Enterprise Plan: $34.9/month
Standard: $49 per month

No public pricing

Core features
  • Web scraping
  • Data extraction
  • Browser automation
  • AI agents
  • Anti-blocking
  • Proxy rotation
  • Open-source tools (Crawlee)
  • Ready-made tools and code templates
  • AI-summarized commit and PR reports
  • Daily and weekly scheduled digests
  • Slack and email delivery
  • One-click OAuth or webhook setup
  • GitHub, GitLab and Bitbucket support
  • Templates for standups and reports
  • Commits and Pull Requests Dashboard
  • Advanced Developer Skills Analysis
  • Strategic Investment Balance Monitoring
  • Collaborative Developers Map
  • Benchmarking Comparison with Other Teams
  • Smart Notifications
  • Parallel Agents for faster coding
  • GitHub native integration
  • Automated PR workflow
  • Smart PR suggestions
  • Automatic code reviews
  • Real-time progress tracking
  • Free deep learning courses
  • fastai library for PyTorch
  • nbdev development tool
  • Practical Deep Learning book
  • Blog on AI, ethics and technical topics
Use cases
  • Data for generative AI
  • Lead generation
  • Market research
  • Sentiment analysis
  • Keep stakeholders updated on what shipped
  • Replace manual status updates and standups
  • Give teams visibility into Git activity
  • Visualize historical graphs of code evolution
  • Assess development team performance using RSI and EMA
  • Understand developer skills and identify areas for improvement
  • Categorize commits by type (fixes, refactoring, etc.) to analyze investment balance
  • Identify individual and collective contributors within the team
  • Compare team performance with industry benchmarks
  • Receive weekly and monthly reports with AI-extracted insights
  • Automating code reviews
  • Generating PRs automatically
  • Improving code quality through continuous improvements
  • Learning deep learning as a coder
  • Building models with the fastai library
  • Following AI research and ethics writing
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