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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.

The New GitBook logo
The New GitBook
✓ verifiedFreemium

Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.

653K visits/mo2.9K saves
Eraser AI logo
Eraser AI
✓ verifiedFreemium

AI co-pilot for technical diagrams and design docs, with diagram-as-code and integrations for engineering teams.

873K visits/mo41K saves
CloudKeeper Tuner logo
CloudKeeper Tuner
✓ verifiedPaid

Automated AWS usage optimization platform giving engineers 150+ recommendations across 50+ services, averaging ~10% savings.

43K visits/mo
Katalon Studio logo
Katalon Studio
✓ verifiedFree trial

Test-automation platform for web, API, mobile, and desktop with no-code to full-code authoring and cloud execution.

246K visits/mo2.1K saves
Pricing

No public pricing

Free trial available

Free: $0 (3 files, 3 AI diagrams)
Starter: $15/user/mo billed annually (40 AI diagrams)
Business: $45/user/mo billed annually (250 AI diagrams, SSO)
CloudKeeper Tuner: 2% of monthly AWS bill (1% for CloudKeeper AZ/EDP+ customers)

Free trial available

No public pricing

Free trial available

Core features
  • Publish structured documentation sites
  • Git sync for docs-as-code workflows
  • AI setup agent to build and import docs
  • GitBook MCP server for AI access
  • Enterprise controls
  • Free tier to start
  • AI-generated diagrams from prompts
  • Diagram-as-code editing
  • Markdown design docs
  • Eraserbot auto-updating codebase diagrams
  • Integrations: GitHub, Notion, Confluence, VS Code
  • Export to PNG/SVG/PDF/MD and MCP server
  • 150+ recommendations across 50+ AWS services
  • Zombie and unused resource cleanup
  • Over-provisioned rightsizing
  • Idle-resource scheduler
  • SpotBot for ECS Fargate spot/on-demand switching
  • AWS console extension with Slack/Teams alerts
  • No-code, low-code and full-code test authoring
  • Web, API, mobile and desktop testing
  • Test management and planning
  • Cloud-based test execution
  • Reporting and analytics
  • AI-assisted test generation and monitoring
Use cases
  • Publish product and API documentation
  • Maintain docs-as-code with Git sync
  • Make docs consumable by AI assistants
  • Import existing docs into a hosted site
  • Create architecture and cloud diagrams fast
  • Write and maintain design docs
  • Keep codebase diagrams up to date
  • Embed live diagrams in Notion/Confluence
  • Cutting AWS spend automatically
  • Rightsizing over-provisioned resources
  • Scheduling idle resources off-hours
  • Giving DevOps in-console cost recommendations
  • Automate regression testing
  • Unify API, web and mobile tests
  • Manage manual and automated tests together
  • Scale test execution in the cloud
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