Hoppscotch icon

Hoppscotch

★★★★★ 4.5
VS
Kong icon

Kong

★★★★ 4.3
Feature Hoppscotch Kong
Pricing Free / from $7/mo Free / from $0.05/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.5 / 5 4.3 / 5
Best For developers, open-source-teams, api-testing, lightweight-alternative platform-engineers, microservices-teams, api-gateway-users, devops-teams
Founded 2019 2010
Rest Client
Graphql Client
Websocket Testing
Collections
Environments
Team Collaboration
Self Hostable
Api Gateway
Service Mesh
Load Balancing
Authentication
Rate Limiting
Plugins
Observability
Kubernetes Ingress

✓ Hoppscotch Pros

  • Open-source and self-hostable
  • Lightweight and fast (browser-based, no download)
  • Supports REST, GraphQL, WebSocket, SSE, Socket.IO
  • Team collaboration with shared collections

✗ Hoppscotch Cons

  • Fewer features than Postman for enterprise use
  • Limited mock server capabilities
  • Desktop app less mature than web version

✓ Kong Pros

  • Open-source core with large plugin ecosystem
  • Sub-millisecond latency for API requests
  • Platform-agnostic deployment (cloud, on-prem, hybrid)
  • Strong Kubernetes-native support

✗ Kong Cons

  • Enterprise features require paid license
  • Configuration complexity for advanced setups
  • Documentation could be more beginner-friendly

The Verdict

Hoppscotch is built for developers and open source teams, with a focus on rest-client and graphql-client. Kong targets platform engineers and microservices teams and leads with api-gateway and service-mesh.

On pricing, Kong is the clear winner for budget-conscious users — starting at $0.05/mo compared to $7/mo for Hoppscotch. That $6.95/mo difference adds up quickly for growing teams.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

Feature-wise, Kong offers broader built-in capabilities (8 features vs 7), while Hoppscotch takes a more focused approach — which can mean a simpler, faster onboarding experience.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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