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KanuniLabs vs Selvedge

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

KanuniLabs compared with Selvedge
DetailKanuniLabs logo KanuniLabsSelvedge logo Selvedge
What it doesFast data grid and pivot table for React and JavaScript with virtual scrolling and Web Worker support Keep the why with your code
StageStartup Not given
Founded2026 Not given
Based inNot given Not given
Pricing modelFreemium Open source
PricingNot given Not given
Key features
  • Virtual scrolling: handles millions of rows with only visible rows in the DOM
  • Web Worker offload for filtering and sorting above ~20,000 rows
  • Columnar encoding with typed arrays for fast sorting and filtering
  • Server-side data loading and filtering
  • Sorting and filtering with custom comparators
  • Inline editing with validation and lookups
  • Multi-level grouping and master-detail views
  • Excel and PDF export with styling
  • Calculated columns with spreadsheet formulas
  • Interactive charts and drill-down
  • Records stated reasoning for changes the agent logs
  • Entity-level attribution for code elements
  • Retrieves recorded attempts and outcomes
  • Groups related changes across files
  • Full-text search over change history
  • Exports to Agent Trace format
  • Local SQLite storage with no hosted backend
  • MCP and CLI interfaces
  • Concurrent readers and writers with WAL mode
What makes it different
  • Free Community edition with no expiry, watermark or license key for commercial use
  • Paid versions never expire or lock users out; shipped applications keep running without watermarks
  • No license server; keys checked locally via public key compiled into the package
  • Handles millions of rows efficiently with only the visible window rendered
  • Zero network dependencies; all storage and history queries run locally
  • Captures reasoning at the time of change from the agent's own context
  • MIT-licensed open source with no vendor lock-in
  • Works with any compatible AI agent through standard MCP protocol
  • Validates reasoning quality to surface low-quality logs
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)37 no change since last check36 no change since last check
Trust Flow (Majestic)65
Citation Flow (Majestic)2831
Referring domains (Majestic)2697

4 details filled in for both companies.

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