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Karada vs PathSim

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

Karada compared with PathSim
Detail Karada PathSim
What it doesAuto-compile APIs into Go MCP servers with 1-click plugins and unified gateway distribution Python framework for building and simulating dynamical systems using block diagrams
StageNot given Not given
FoundedNot given Not given
Based inIN Not given
Pricing modelFreemium Open source
PricingHobby free forever with 5 Go MCP servers, 1 gateway, 100k requests/month, and community support. Gateway Pro $19 USD/month with 10 multiplexed gateways, enhanced gateway, encrypted secret vault, and 500k requests/month. All-Access Pro $49 USD/month with everything in Gateway Pro plus up to 100 Go MC Not given
Key features
  • Auto-compile OpenAPI, Swagger, and Postman collections into native Go MCP servers
  • Composable plugin layer: Sentry tracing, GA4 analytics, AI firewalls, rate limiting, secret vaults
  • CI/CD auto-sync keeps servers updated with zero downtime
  • Autonomous agent orchestrator (karada_agent) eliminates context bloat
  • Sub-5ms execution latency on Streamable HTTP transport
  • Spec-to-server compilation in under 2-5 minutes
  • Private MCP registry for secure tool distribution
  • 30+ solvers including implicit, explicit, and adaptive integrators
  • Zero-crossing detection and scheduled events for hybrid systems
  • Hot-swappable blocks and solvers during active simulation
  • Hierarchical subsystems for modular component design
  • MIMO support with multiple input and output ports
  • Browser-based visual editor with PathView
  • Domain toolboxes for chemical, battery, vehicle, flight, and RF engineering
  • Custom blocks through subclassing the base Block class
  • Supports continuous-time, discrete-time, and hybrid systems
  • FMI integration to wrap Co-Simulation and Model-Exchange FMUs
What makes it different
  • Complete 4-layer lifecycle eliminates need for brittle TypeScript/Python adapters and manual scaling
  • Context-aware gateway reduces token usage by 95% by routing execution server-side instead of prompt stuffing
  • Native Go performance with Streamable HTTP instead of slower runtime environments
  • One-click plugins and hot-reload without code changes or server restarts
  • Readable, scriptable alternative to traditional simulation tools with solver depth
  • Full ecosystem including FastSim Rust engine and standalone C code generation
  • Minimal runtime dependencies: only numpy, scipy, and matplotlib
  • Domain-specific toolboxes for chemical, battery, vehicle, flight, and RF engineering
  • MIT license with open source development
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)1 −1 (down) since last check38 −1 (down) since last check
Trust Flow (Majestic)96
Citation Flow (Majestic)2514
Referring domains (Majestic)7618

4 details filled in for both companies.

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