Leapwork RPA
UnclaimedAI-powered visual engine for enterprise test automation across any application and platform.
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TL;DR - Leapwork RPA
- AI-powered no-code visual engine for enterprise test automation.
- Supports end-to-end testing across web, desktop, mainframe, and mobile applications.
- Accelerates releases, reduces bugs, and saves significant testing time through automation.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Significantly reduces testing time and bugs, leading to faster releases.
- No-code interface allows broader team participation in test automation.
- Supports complex, data-driven, and end-to-end testing across diverse platforms.
- AI capabilities enhance data management and test resiliency.
- Strong governance features with audit logs and access control.
Cons
- Specific pricing details are not publicly available.
- Requires integration into existing DevOps pipelines for full benefit.
Key Features
AI-augmented no-code visual engine for test creationMulti-platform and app-agnostic testing (web, desktop, mainframe, mobile)End-to-end testing across interconnected applicationsAI-powered test data generation, extraction, and transformationDynamic regression testing with instantly applied updatesParallel test execution across environments, browsers, and devicesComposable test automation with reusable subflowsAutonomous test resiliency for unattended automation of failed flows
Pricing Plans
Base License
$90 per day, billed annually
- Full platform access
- Standard support
- Studio (Design and manage tests)
- Platform (Central environment, hosting, storing automation assets, gathering results)
- Agent (Executes automated tests)
About Leapwork RPA
By Toolradar Team·
Leapwork is an AI-powered test automation platform designed for enterprises to achieve continuous quality at the speed of innovation. It provides a visual, no-code engine that enables teams to build, manage, maintain, analyze, and scale automated testing for any application on any platform, including web, desktop, mainframe, and mobile. The platform is particularly suited for organizations looking to accelerate product releases, application updates, migrations, and transformations without requiring extensive coding knowledge from their QA teams.
Leapwork addresses the challenges of complex, interconnected software ecosystems by ensuring end-to-end quality across critical business processes. It empowers a broader range of users to implement automated testing, reducing defects, saving time, and improving product enhancements. The platform's AI capabilities simplify data-driven testing, generate realistic test data, and provide autonomous test resiliency, making it a strategic solution for modern enterprise testing needs, including the validation of AI applications like Microsoft Copilot.
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Leapwork RPA FAQ
How does Leapwork's AI-powered test data management simplify complex data-driven testing?
Leapwork's AI capabilities automate the generation, extraction, and transformation of test data. This eliminates delays caused by waiting for specific test data, allowing teams to create realistic datasets quickly and efficiently for complex data-driven test scenarios.
Can Leapwork automate testing for legacy systems like mainframe applications, in addition to modern web and mobile apps?
Yes, Leapwork is designed to be multi-platform and app-agnostic, supporting end-to-end testing across a wide range of applications including web, desktop, mobile, and mainframe systems. This ensures comprehensive coverage for diverse enterprise IT landscapes.
What specific integrations does Leapwork offer for DevOps pipelines, and can it connect with custom tools?
Leapwork provides out-of-the-box native integrations with top DevOps tools for release, defect management, test platforms, and reporting. For custom or less common tools, it offers a public REST API to plug into specific tech stacks, ensuring flexibility in integration.
How does Leapwork ensure the reliability of automated tests, particularly in identifying transient issues versus actual defects?
Leapwork features autonomous test resiliency, which includes unattended automation of failed flows. This capability helps in distinguishing between transient issues (e.g., network glitches) and genuine defects, reducing false positives and improving the accuracy of test results.
What is the process for debugging failed test flows within Leapwork, and what information is provided to aid in root cause analysis?
Leapwork offers 'Hypervisual debugging,' which allows for one-click root cause analysis. This is achieved through detailed video recordings of the test execution, data-level insights, and comprehensive activity logs, providing a clear understanding of where and why a test failed.
How does Leapwork support the testing of AI-driven applications like Microsoft Copilot or Salesforce Einstein?
Leapwork is built for the modern stack and is capable of testing AI applications. It allows organizations to validate the functionality and performance of AI-powered tools, helping to build trust in AI systems and ensure their quality before deployment.
Source: leapwork.com