Integration Testing
Keploy
vs
Speedscale logo

Keploy vs Speedscale

Keploy and Speedscale both capture real traffic for test generation, but differ significantly in approach. Keploy uses eBPF for zero-code capture and is open source under Apache 2.0. Speedscale focuses on Kubernetes-native traffic replay with built-in load testing capabilities and is a commercial SaaS platform.

17K+ Stars1M+ InstallsZero Code Changes

How They Work Differently

Architectural differences that affect your team's workflow, cost, and velocity.

Live Demo
KeployKeploy

Keploy uses eBPF to capture API traffic at the kernel level without any code changes or sidecars. It generates integration tests with auto-mocked dependencies and handles non-deterministic data through time-freezing and normalization. Fully open source and self-hostable.

eBPF CaptureZero Code ChangesAuto MocksAI Noise DetectionCI/CD Native
Speedscale product interface
SpeedscaleSpeedscale

Speedscale captures traffic in Kubernetes environments using sidecars and service mesh integration. It replays traffic for both functional testing and load testing scenarios. The platform is Kubernetes-native with a managed SaaS control plane and focuses on microservice environments.

How They Compare

Click any row to see real-world KPI impact across industries.

KeployKeployOpen Source · 17K+ Stars
Keploy test dashboard showing auto-generated test results
Speedscale logoSpeedscale
Speedscale product interface

When to Use Each Tool

Specific scenarios where each tool delivers the most value for your engineering team.

Keploy

Keploy is the better fit when you need to...

  • You want open-source, self-hosted testing under Apache 2.0 licensing
  • You need eBPF-based capture that works beyond Kubernetes environments
  • Your team wants zero-code-change setup without sidecars or proxies
  • You need automatic handling of non-deterministic data like timestamps
  • You prefer a lightweight CLI-based tool with broad language support
Keploy test reports and coverage metrics
Speedscale

Speedscale is the better fit when you need to...

  • Your infrastructure is exclusively Kubernetes and you want native integration
  • You need combined functional testing and load testing from captured traffic
  • Your team wants a managed SaaS platform with enterprise support included
  • You need traffic replay at scale with built-in performance benchmarking
  • You want detailed Kubernetes-specific observability during test execution
Speedscale product interface

Real-World Scenarios

How each tool handles the challenges your team actually faces.

Microservice Regression Testing

Microservice Regression Testing

Keploy
Keploy

Keploy captures inter-service API calls via eBPF and replays them with auto-mocked dependencies. No sidecars or Kubernetes operators are required, and it works in any deployment environment.

S
Speedscale

Speedscale captures traffic between Kubernetes services using sidecars and replays it in isolated test environments. It provides Kubernetes-native workflows but requires a K8s deployment for both capture and replay.

Pre-Production Validation

Pre-Production Validation

Keploy
Keploy

Keploy replays recorded traffic against new builds in CI pipelines, comparing responses to detect regressions. Time-freezing ensures non-deterministic fields do not cause false failures.

S
Speedscale

Speedscale replays captured traffic at configurable load levels in Kubernetes staging environments. It combines functional correctness checks with performance baseline validation in a single replay.

Dependency Isolation

Dependency Isolation

Keploy
Keploy

Keploy auto-generates mocks for databases, message queues, and external APIs from recorded traffic. Tests run independently without needing actual dependencies available.

S
Speedscale

Speedscale simulates backend services from recorded response data, allowing tests to run without live dependencies. Simulation fidelity is high for HTTP-based services in Kubernetes environments.

FAQs

Keploy uses eBPF to capture traffic at the kernel level, requiring no sidecars, proxies, or code changes. Speedscale uses Kubernetes sidecars to intercept traffic. Keploy's approach works in any environment while Speedscale is optimized for Kubernetes specifically.

Keploy focuses on functional API testing and regression detection rather than load testing. Speedscale can replay captured traffic at higher volumes for performance testing. If you need both, you can use Keploy for functional tests and a dedicated load testing tool.

Keploy works in any environment — bare metal, VMs, containers, or Kubernetes — thanks to eBPF-based capture. Speedscale is designed specifically for Kubernetes. If your services run outside K8s, Keploy is the clear choice.

Yes. Keploy is fully open source under Apache 2.0 and can be self-hosted at no cost. Speedscale is a commercial SaaS product with usage-based pricing. Keploy also offers enterprise support options for organizations that need them.

Keploy has built-in time-freezing and normalization to handle timestamps, UUIDs, and other non-deterministic fields automatically. Speedscale provides assertion customization and field-level ignoring. Keploy's approach is more automated with less manual configuration needed.

Looking for a Speedscale Alternative?

Engineering teams evaluating Speedscale alternatives often compare it with Keploy for API testing and regression coverage. Keploy captures real production traffic via eBPF and auto-generates tests with dependency mocks — requiring zero code changes. If you're considering switching from Speedscale or comparing Speedscale and Keploy side by side, the key differences come down to how tests are generated (traffic-based vs manual), how dependencies are mocked (automatic vs configured), and what infrastructure changes are needed (none vs SDK/sidecar/containers).

Speedscale alternativeSpeedscale vs Keploybest alternative to Speedscalecompare Speedscale and KeploySpeedscale open source alternativeswitch from Speedscale

Test with Keploy AI

Get the power of AI to your Testing Pipelines!