The quality governance platform for AI-built software
Generation got cheap. Knowing what’s safe to ship didn’t.
Karate governs it, on the open-source engine trusted by 76 of the Fortune 500.
Open-source API, UI & AI test automation
Write 60% less test code, run it in any CI, and drive the browser with any LLM you host, DOM-first, MCP-native, self-hosted. Open core, 8.9k★ on GitHub.
Velocity & Cost
“We ship every week now, but I can’t tell which requirements we’ve actually proven.”
Trust & Governance
“The dashboards are green, but defects still escape, and now AI writes the tests too.”
Control & Sovereignty
“I sign the release. I can’t stake my name on evidence I can’t reproduce, or that lives on a vendor’s servers.”
API · UI · AI automation
“Locator hell, flaky suites, and screenshot agents that burn tokens.”
Coverage & traceability
“Green that never ran, and AI writing its own tests.”
@req tags → RTM from real runsSelf-hosted & BYO-LLM
“Can’t send code to a cloud LLM; unpredictable token bills.”
The Problem
Different tools for API tests, UI tests, mocks, and performance
Verbose code that takes longer to write than the feature itself
Tests that break every time you refactor, slowing your team down
The Karate Way
Unified framework for API, UI, mocks, and performance tests
Readable, concise syntax that anyone on the team can understand
Built-in parallel execution, reporting, and CI/CD integration
The problem, in your language
A passing dashboard reports activity. Your board, your auditors, and your regulators ask for assurance. Those are not the same question.
What the dashboard counts
Activity. It tells you something ran.
What an auditor asks
Assurance. It tells you you’re safe to ship.
When the same AI writes the code and its tests, passing becomes the goal instead of finding the flaw. “100% hit” can still be not ready to ship.
The bottom line for a product owner
Every release gets a verdict, graded against the business rules you defined, with the blockers named and the evidence attached. No model in the path. The answer you can take to your board, or an auditor.
Proof, not a promise
Our reference API, graded by our own tooling, in public, on every commit. No login, no demo request.
The graded spec
One error stands unwaived. 31 rules ran. One dimension had no evidence, so it reads not measured, never zero.
A document linter would call this spec fine. The heaviest dimension is the one no spec edit can move.
Open the governance reportThe paired run
Mock and provider agreed across 12 scenarios. Then it tells you what it did not check.
It names them: cancelPolicy and getClaim.
Deterministic. No model produced any of it, so anyone can re-derive it. How it is computed.
Open core · the engine
Under all three pillars is the open-source engine teams already trust: API, UI, mocks, and performance in one syntax.
Test REST, GraphQL, and SOAP APIs with built-in JSON/XML assertions, schema validation, and data-driven scenarios. Karate Agent authors and maintains tests via natural language, MCP, or your IDE.
Write REST, GraphQL & SOAP in one syntaxStand up service mocks in the same Gherkin syntax as your tests. Stateful, thread-safe, and 100% local. Then run one suite against the mock and the real provider to see where they disagree.
Automate browsers and desktop apps with simple, readable commands. Plus Karate Agent: an LLM layer that recovers when locators drift, so tests survive UI refactors.
Automate UI without CSS selectorsRe-use your API tests as performance tests. Run thousands of concurrent requests with built-in Gatling integration.
Re-use API tests as load testsSee the Difference
import io.restassured.RestAssured;
import static io.restassured.RestAssured.*;
import static org.hamcrest.Matchers.*;
public class UserTest {
@Test
public void testCreateUser() {
RestAssured.baseURI = "https://api.example.com";
String body = "{" +
"\"name\": \"John\"," +
"\"email\": \"john@test.com\"" +
"}";
given()
.contentType("application/json")
.body(body)
.when()
.post("/users")
.then()
.statusCode(201)
.body("name", equalTo("John"))
.body("id", notNullValue());
}
}
Feature: User API
Scenario: Create a new user
Given url 'https://api.example.com/users'
And request { name: 'John', email: 'john@test.com' }
When method post
Then status 201
And match response.name == 'John'
And match response.id == '#notnull'
New · AI Test Automation
An LLM-powered agent that drives the browser, recovers when UIs drift, and authors tests in plain English. Display-text locators, BYO LLM (Claude, GPT, Gemini, Llama, Ollama), 100% self-hosted, and MCP-native for Claude Code and VS Code Copilot.
~30s
Scripted flow runtime (vs 8–19 min pure-LLM)
72×
Fewer page scans (lower token cost)
0
Tokens on scripted paths (LLM only on recovery)
80%
Faster test authoring
60%
Less code vs alternatives
10x
Faster with parallel execution
Recognized by analysts, reviewers & developers
Featured in the Gartner® Market Guide
API & MCP Testing Tools · March 2026
View on GartnerReviewed on G2
Software Testing · API Testing category
Read reviews on G28,834+ GitHub stars
10 years open source · 2M+ monthly downloads
Star on GitHubEverything your organization needs to adopt test automation at scale, with enterprise-grade security and support.
One isolated instance per team, behind your firewall. No shared identity store, no multi-tenant attack surface.
Fine-grained permissions for teams, projects, and environments.
Complete visibility into who did what, when. Export-ready for compliance.
Self-hosted end-to-end. No SaaS dependency, no telemetry, no outbound calls. Your data never leaves your network.
Named account manager, SLA-backed response times, and onboarding assistance.
Deploy in your own cloud or on-premise. Your data never leaves your infrastructure.
What Teams Are Saying
“Ease of setup, ease of writing tests even for juniors, and the fact that it uses Gherkin allows everyone to understand the tests.”
Lina K.
Head of QA · Capterra verified
“Well documented and well supported. The DSL is so simple to learn. Offers a full range of automation capabilities: client-side assertions, server-side mocks and simulators, even performance testing.”
Anthony S.
Team Lead / Principal Engineer · Capterra verified
“An excellent tool in all sense. Used it for both API and UI automation. Found it amazing with parallel execution, negligible flakiness, and code-less automation.”
Kanishka J.
QA Automation Lead · Capterra verified
Questions
No. Everything runs on your machines, your CI, your environments. No hosted tier, no test grid, no telemetry. Payloads and secrets never leave your infrastructure, which is why Karate runs air-gapped in financial services, insurance and healthcare.
APIs across REST, GraphQL, SOAP, gRPC, Kafka and WebSocket, plus browser and desktop UI, performance and mocking. One syntax, so the same file drives a functional test, a load test and a contract test without a rewrite.
A passing suite reports activity. It does not say which business rule was proved, whether the risky case was exercised or only claimed, or whether the only thing answering was your own mock. Karate joins evidence to requirements and computes a verdict, with blockers named.
No. Verdicts are deterministic: no model, no network, no guess. Same inputs, same result, so an auditor can re-derive it. AI helps author tests, never decides whether one passed.
Yes. Bring your own model, including self-hosted via Ollama, so the pipeline runs inside your perimeter with no outbound calls. Model choice is config, not a different product.
No. Teams adopt incrementally: new tests in Karate, existing suites carry on. The platform layers governance and coverage on top of what you have.
Get Started
Join thousands of developers who contribute to and rely on Karate every day. Star us on GitHub, submit a PR, or just say hello.
8,834+
GitHub Stars
350+
Contributors
2M+
Downloads
Unified API, UI, and AI test automation: open source, self-hosted, enterprise-ready. Get a guided walkthrough from our team.
Audit logs, offline licensing, and dedicated support. 100% local. Your data never leaves your infrastructure.