Keploy Alternative

Looking for a Keploy alternative?

Keploy's 'digital twin' approach captures real production traffic and replays it as tests — great once traffic exists. If you need coverage before launch, multi-protocol support beyond HTTP, or an AI story your security team can actually approve, here's what to look for in an alternative.

Why teams look for a Keploy alternative

No traffic, no tests yet

Traffic-capture tools need real production or staging traffic before they can generate anything. New APIs and pre-launch services have nothing to capture.

Coverage depends on what got captured

Test fidelity is only as good as the diversity of traffic observed. Rare edge cases and error paths that never occurred in traffic never become tests.

Cloud AI generation raises policy questions

Sending specs or traffic to a third-party cloud AI service is a hard blocker for regulated teams that need generation to happen on infrastructure they control.

SOAP and GraphQL are second-class

Traffic-capture tools are built around HTTP API traffic. Teams with SOAP/WSDL or GraphQL services need documented, first-class support, not a workaround.

No coverage-gap visibility

Without a spec to compare against, it is hard to answer which endpoints, methods, or status codes are still untested.

Governance features aren't published

SSO, RBAC, and audit logging aren't documented for the traffic-capture approach, which matters once IT security starts asking questions.

Where a traffic-first approach falls short

Capturing and replaying production traffic is a legitimate way to build regression tests — but it's not the only approach, and it has real limits worth weighing before you commit to it.

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Pre-launch coverage: A traffic-first tool can't generate tests for an API that hasn't shipped yet, because there's no traffic to capture and replay.
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Self-hosted AI generation: No published self-hosted-LLM option — generation appears to be cloud-hosted, which is a blocker for teams that can't send specs or traffic off-network.
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Protocol breadth: Primarily HTTP API traffic capture; SOAP/GraphQL breadth isn't documented as a first-class capability.
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Contract validation: Because it isn't spec-driven, fidelity depends on the diversity of captured traffic rather than validation against your OpenAPI/WSDL contract.
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Coverage-gap tracking: No published way to see which endpoints, methods, or status codes are still untested.

How Total Shift Left works as a Keploy alternative

1

Import your spec

Upload your OpenAPI, Swagger, or WSDL spec (or an existing Postman collection). The platform auto-discovers every endpoint and schema — no traffic required.

2

AI generates your test suite

Schema-aware AI creates tests for happy paths, edge cases, error scenarios, and security checks, optionally running on your own self-hosted LLM (Ollama, vLLM, LM Studio).

3

Run in CI/CD or locally

Execute tests via native Jenkins and Azure DevOps plugins, or the REST API for GitHub Actions, GitLab, CircleCI, and Bitbucket. Run locally for development and private APIs.

4

Track coverage and contracts

See which endpoints are tested, which aren't, and whether responses match your API contract — before there's any traffic to capture.

< 5 min

From spec import to first test suite

Day 0

Coverage before traffic exists

3 protocols

REST, SOAP/WSDL, GraphQL

Self-hosted

Ollama, vLLM, LM Studio LLM options

Total Shift Left vs Keploy: feature comparison

FeatureTotal Shift LeftKeploy
Test creation approachAI-generated from OpenAPI/WSDL specs — no code, no traffic capture requiredProduction traffic capture & replay ('digital twins'); OpenAPI/Postman import also available via the free Playground
Core methodContract-first: tests generated from your API spec before code shipsTraffic-first: records real production/staging traffic and replays it as tests
Self-hosted LLM supportOllama, vLLM, LM Studio — run generation on your own infrastructure, nothing leaves your networkCloud-hosted AI generation; no self-hosted-LLM option found
Protocol supportREST, SOAP/WSDL, GraphQL with spec-driven automationPrimarily HTTP API traffic capture; SOAP/GraphQL breadth not documented
Coverage trackingEndpoint, method, status code, parameter coverage with gap identificationNo published coverage-gap tracking
Contract testingBuilt-in schema validation against OpenAPI/WSDL; fail builds on driftNot spec-driven — fidelity depends on the diversity of captured traffic
Developer toolingNative CI/CD plugins for Jenkins and Azure DevOps, plus a REST API for GitHub Actions, GitLab, CircleCI, and BitbucketVS Code extension (1,185,821 installs, 5.0★); GitHub Marketplace app that comments AI-generated unit tests on PRs
Licensing / project maturityCommercial platform with a forever-free tierOpen source (Apache-2.0), 18.4k GitHub stars, 2.3k forks
Enterprise governance (SSO, RBAC, audit log)SSO, role-based access control, audit logs, and multi-tenant workspaces on EnterpriseNot published
Pricing modelForever-free Citizen Developer Edition + 15-day Enterprise trial; transparent custom pricingFree OSS core + free Playground; Pro tier $19/user/month plus usage-based pricing ($0.16 per test generated, $0.22 per test run); custom Enterprise

When Keploy is still the better choice

  • -You already have rich production traffic you want to turn into tests via capture/replay
  • -You want a free, actively-starred (18.4k) open-source core you self-host
  • -You want an AI bot that comments generated unit tests directly on GitHub pull requests
  • -You're comfortable with cloud-hosted AI generation and don't need a self-hosted LLM

Frequently asked questions

  • What is the best alternative to Keploy?
    It depends on why you're looking. If you need test coverage before there's production traffic to capture, if your APIs span SOAP or GraphQL and not just REST, or if your organization can't send specs or traffic to a third-party cloud AI service, Total Shift Left is built for exactly that: spec-driven generation with a self-hosted LLM option.
  • Why would I switch from Keploy?
    Keploy's core method — traffic capture and replay — depends on traffic already existing, which is a blocker for new or pre-launch APIs. Total Shift Left generates tests directly from your OpenAPI, Swagger, or WSDL contract, so coverage exists from day one.
  • Does Total Shift Left support self-hosted or on-premise AI generation, unlike Keploy?
    Yes. We found no evidence of a self-hosted-LLM option for Keploy's AI generation — it appears cloud-hosted. Total Shift Left runs generation against Ollama, vLLM, or LM Studio on your own infrastructure, which matters for regulated enterprises that can't send specs or traffic to a third-party cloud service.
  • Is Total Shift Left free like Keploy's open-source core?
    Yes. The Citizen Developer Edition is forever-free for single users — full authoring with AI test and mock generation, 50 endpoints, 50 mocks, 50 workflows, no expiry, no credit card. There's also a 15-day Enterprise trial that mirrors the full platform.
  • Can I import an existing Keploy or Postman setup?
    Yes. Import the OpenAPI/Swagger spec your APIs are built from, or an existing Postman collection. The platform generates a comprehensive test suite from the spec directly — no traffic capture required.
  • Does this alternative support SOAP and GraphQL, not just REST?
    Yes. Total Shift Left tests REST, SOAP/WSDL, and GraphQL from the same spec-driven workflow. Keploy's documented strength is HTTP API traffic capture; SOAP/GraphQL breadth isn't documented for it.

Generate your first API test suite in minutes

Import your OpenAPI spec. Get CI-ready tests. Track coverage. No code, no credit card, 15-day free trial.