Template project of Karate for API testing
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Updated
Oct 9, 2021 - Gherkin
Template project of Karate for API testing
GitHub Action to run Karate tests.
Examples for various types of Karate tests, used in my conference talk "Karate - beyond API testing".
API automation test example project using Karate
Demo Karate and gatling using reqres website
API Testing Framework using Karate DSL with schema validation, dynamic data handling and execution by environments.
POC Project on Karate API Testing Framework
This is sample project for testing API using Karate framework
API automation framework for Booking endpoints using Karate DSL, Java, Cucumber and schema validation for CRUD testing.
Production-grade API test automation — Karate DSL, Gatling, 3-layer strategy (component / integration / E2E)
Test api using Karate Labs (Gherkin)
API Automation testing framework using Karate and Gherkin
REST API automation testing project using Karate Framework to practice API validation and automated testing.
An automated Behavior-Driven Development (BDD) testing framework for REST APIs, built with Cucumber.js, Supertest, and Chai.
REST API test suite built with Karate Framework — BDD-style API testing, schema validation, auth flows, CI/CD
REST API tests written with Karate DSL, run through Gradle
I created this project to test my Karate API testing skills and comparing them with results from Postman. The exercise helped me improve my proficiency with Karate and gain valuable insights into different testing approaches. See my project for more details on the tests and results.
this application is a demo of using karate based on the karate official lab with a resumer of the framework for endpointtesting
QA portfolio: risk-driven API test strategy for a multi-tenant healthcare backend. BDD, Postman/Newman, RBAC/ACL, CI-ready.
Framework de automatización QA en Python para StockFreezer (app real con IA integrada) — tests de API con pytest, colección Postman/Newman ejecutable por CLI, y especificaciones BDD en Gherkin cubriendo auth/RBAC, inventario, alertas y validación semántica con IA. CI con GitHub Actions.
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