Keploy vs Postman
Detailed side-by-side comparison to help you choose the right tool
Keploy
AI Knowledge Tools
Open-source, AI-powered testing agent that automatically generates test cases, dependency mocks, and production-like sandboxes from real user traffic using eBPF. Helps developers achieve 90% test coverage in minutes with zero code changes.
Was this helpful?
Starting Price
CustomPostman
🟡Low CodeAPI Development
Collaborative API platform with AI-assisted design, testing, governance, and an MCP catalog.
Was this helpful?
Starting Price
CustomFeature Comparison
Scroll horizontally to compare details.
💡 Our Take
Choose Keploy if you want automatic test and mock generation from real traffic without writing request collections manually, especially for backend regression testing in CI. Choose Postman if your team needs a polished GUI for exploring APIs, sharing collections across non-technical stakeholders, and manually authoring test suites.
Keploy - Pros & Cons
Pros
- ✓Completely free and open-source with 15,600+ GitHub stars and 1.2M+ downloads, proving strong community trust
- ✓Achieves up to 90% test coverage within 2 minutes without requiring any code changes to the application
- ✓Uses eBPF for kernel-level traffic capture, which is more accurate and less invasive than SDK-based instrumentation
- ✓Auto-generates dependency mocks (200M+ mocks created), eliminating manual mock authoring for databases and external services
- ✓Supports multiple backend languages including Go, Python, Java, and Node.js, making it broadly applicable
- ✓Deterministic replay in CI creates production-like sandboxes for reliable regression testing
Cons
- ✗eBPF requires Linux kernel support, limiting native use on Windows and some macOS configurations
- ✗Primarily focused on backend API testing — not suited for frontend UI or end-to-end browser testing
- ✗Record-and-replay approach may miss edge cases that don't appear in captured production traffic
- ✗Learning curve for teams unfamiliar with eBPF concepts and traffic-based test generation
- ✗Cloud/enterprise pricing is not publicly listed, requiring a demo booking for teams needing managed features
Postman - Pros & Cons
Pros
- ✓Collections make requests reproducible and shareable.
- ✓Public annual pricing spans free through enterprise.
- ✓Tests, docs, mocks, and governance share one workspace.
- ✓MCP connects existing API assets to agents.
Cons
- ✗Per-user pricing grows quickly for large organizations.
- ✗Advanced governance sits on higher plans.
- ✗Large collection estates require ownership and secret discipline.
- ✗Agent requests can mutate real systems if environments are weak.
Not sure which to pick?
🎯 Take our quiz →Price Drop Alerts
Get notified when AI tools lower their prices
Get weekly AI agent tool insights
Comparisons, new tool launches, and expert recommendations delivered to your inbox.