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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.

122K visits/mo

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

5.2K saves
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
Mintlify logo
Mintlify
✓ verifiedFreemium

Documentation and knowledge platform that keeps developer docs self-updating and queryable by AI agents.

718K visits/mo
4.7K visits/mo
Pricing
Basic: $0/month
Pro: $20/month
Team: $49/month

No public pricing

No public pricing

Free trial available

Starter: $0/mo (individuals and small teams)

Free trial available

No public pricing

Core features
  • Integration with Notion databases
  • Unlimited fields and submissions
  • Customizable form styling
  • Conditional logic and validation rules
  • Ready-made form templates
  • File uploads
  • Multi-page forms
  • Email, Slack, and Discord notifications
  • Submission editing
  • Form protection (password, captcha)
  • 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)
  • 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
  • Self-updating documentation
  • Web-based documentation editor
  • Custom domain hosting
  • Built-in search and API playground
  • MCP server for agent access
  • Authentication and access controls
  • Zero-ETL data integration
  • Federated Query
  • Streaming Ingestion
  • Instant Replication with CDC
  • API to SQL conversion
  • NoSQL to SQL conversion
  • SQL to API conversion
  • Self-service Integration
  • Generate SQL with AI
Use cases
  • Guest blog submission forms
  • Event attendee check-in forms
  • Customer satisfaction surveys
  • Patient intake forms
  • Photography quotation requests
  • Equipment rental requests
  • Photo shoot permit requests
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • 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
  • Publish and maintain developer documentation
  • Expose docs to AI agents via MCP
  • Host a branded docs site on a custom domain
  • Give teams a collaborative doc editor
  • Query data directly from its source in real-time.
  • Process data wherever it is, blending data from different sources.
  • Ingest streaming data from Kafka, Segment, etc., into Peaka BI Table.
  • Replace nightly batch ingestion with real-time data access.
  • Treat every data source like a relational database by converting APIs to tables.
  • Use SQL to query NoSQL databases.
  • Query consolidated data and expose it with APIs.
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