Key takeaways
- Drizz uses plain-English commands and Vision AI to test native mobile apps on real devices without locators or flowcharts.
- Leapwork averages $45,000/year (Vendr data) and treats native mobile testing as a secondary feature.
- Katalon and Testsigma cover web and mobile in one platform, but both still depend on element selectors that break after UI updates.
- testRigor and ACCELQ offer no-code authoring for web and mobile, though mobile depth varies.
- Tricentis Tosca and Mabl are strong on web automation but limited for native mobile app testing.
Leapwork is built for desktop and web workflows. Mobile is an afterthought.
If you're running a QA team that tests native Android or iOS apps, Leapwork's flowchart builder won't get you far. The tool is strong on SAP, Dynamics 365, and Citrix automation. As one user on r/QualityAssurance put it, "Leapwork's target market is D365, all day. Microsoft endorsed them in 2023." That endorsement is real, but it tells you where Leapwork's focus is. It's not mobile.
The pricing doesn't help either. Vendr's transaction data shows the average Leapwork contract runs $45,000/year, with a range from $22,000 to $75,000. For a tool that treats mobile as a secondary feature, that's a hard number to defend.
Here are 7 alternatives that handle mobile testing better, with honest tradeoffs for each.
At a glance
🟦 Drizz
- Target user: Mobile QA teams that want to write tests in plain English and run them on real devices
- Migration Friction: Zero | Automation Depth: High | Pricing: Free trial, pay-as-you-go
⬛ Katalon Studio
- Target user: Teams that need web, mobile, API, and desktop testing in one platform
- Migration Friction: Low | Automation Depth: High | Pricing: Free tier, paid from $175/mo
⬛ ACCELQ
- Target user: Enterprise teams wanting cloud-based no-code automation for web and API
- Migration Friction: Medium | Automation Depth: High | Pricing: Custom (enterprise quotes)
⬛ Testsigma
- Target user: Teams looking for plain-English test authoring with a free open-source option
- Migration Friction: Low | Automation Depth: Medium | Pricing: Free (open source), cloud from $249/mo
⬛ testRigor
- Target user: QA teams that want plain-English tests without managing infrastructure
- Migration Friction: Low | Automation Depth: Medium | Pricing: Custom (starts ~$600/mo)
⬛ Tricentis Tosca
- Target user: Large enterprises with complex SAP, Salesforce, and web application stacks
- Migration Friction: High | Automation Depth: High | Pricing: Custom (enterprise, typically $50K+/year)
⬛ Mabl
- Target user: Web-focused teams that want AI-powered test creation with low-code setup
- Migration Friction: Low | Automation Depth: Medium | Pricing: From $600/mo
How do these Leapwork alternatives compare on mobile testing?
Drizz is the only tool on this list that uses Vision AI instead of element locators. Every other tool still relies on selectors (XPath, CSS, accessibility IDs) that break when developers change the UI.
1. Drizz
Migration Friction: Zero | Automation Depth: High | Pricing: Free trial, pay-as-you-go from $500/mo
Best for: Mobile QA teams that are tired of maintaining locators and want tests that survive UI changes.
Drizz is a mobile test automation platform built on Vision AI. You write test steps in plain English. The AI reads the screen the way a human would and executes each action.
There are no XPaths. No accessibility IDs. No flowchart blocks to drag around. You type "Tap on Add to Cart" and Drizz finds the button visually. This is a different approach from every other tool on this list. Katalon, Testsigma, testRigor, they all still use some form of element identification under the hood. Drizz doesn't. It looks at the screen.
How it works, step by step:
You install the Drizz Desktop App and connect a real device or emulator. You launch the app you want to test. Then you start typing commands, one per line. Each command is a single user action: tap, type, scroll, validate. The Vision AI engine takes a screenshot of the current screen, identifies every interactive element, and matches your plain-English command to the right target.
It doesn't use the app's source code or view hierarchy. It reads what's on the screen. When a developer changes a button's color, moves a field, or renames a label, Drizz's self-healing engine adapts. It re-evaluates the screen and finds the closest match. Tests that would break in Appium or Espresso keep passing in Drizz.
The no-code vs code-first debate is real, and it comes up constantly on Reddit and across developer communities. As one tester on r/softwaretesting noted, "Learning to code will unlock endless doors in your career." That's true. But the argument assumes all no-code tools work the same way. Drizz isn't a record-and-playback tool that generates brittle scripts. It's a vision-based engine that interprets screens. Your manual testers can write test cases in the same language they use to describe bugs, and those tests hold up in CI.
What you can test:
- Login flows with OTP handling (Drizz reads OTP from the screen without needing clipboard access).
- Checkout and payment flows across Android and iOS with the same test steps.
- Push notification validation, deep links, and app restart scenarios.
- Dynamic content like infinite scroll lists, carousels, and search results.
- Multi-step workflows with conditional logic (IF/ELSE blocks in plain English).
Drizz was built for fast moving mobile teams, and that shows in who uses it. One user on r/AI_Agents, Sharedtheir first enterprise client nearly broke the company. They had five engineers, signed an enterprise deal, and spent six weeks on onboarding alone. The honest takeaway from that post: "We learned more about where Drizz actually needed to be in that period than in the six months before it." That kind of transparency is rare from a vendor, and it tells you something about where the product is today. They went through the enterprise gauntlet and came out with a product that handles both small teams and larger orgs.
Execution and reporting:
Tests run on real Android and iOS devices through Drizz Cloud. You can trigger runs from CI/CD pipelines (Jenkins, GitHub Actions, Bitrise). Every execution produces screenshots, step-by-step logs, and failure reasoning that tells you why a step failed, not just that it failed.
Pricing:
Free trial with 50 test runs. Pay-as-you-go after that. Team and enterprise plans are available with shared workspaces and dedicated support. No annual contracts required to start.
2. Katalon
Migration Friction: Low | Automation Depth: High | Pricing: Free tier, paid from $175/mo
Best for: Teams that test across web, mobile, API, and desktop and want a single tool for everything.
Katalon is a full-stack testing platform. It covers web, mobile, API, and desktop automation in one interface. It has a free tier (Katalon Studio), built-in integrations with Jira, Slack, and Jenkins, and a G2 rating of 4.4/5 across 706 reviews.
The catch is that mobile testing still depends on Appium under the hood. You inherit Appium's locator fragility. When a developer renames a view ID or restructures a screen, your tests break. That's the same locator maintenance problem that drives teams away from Leapwork's flowchart builder in the first place.
Katalon is a good all-in-one option if your testing is split across web and mobile. But for mobile-only teams, the Appium dependency means you'll still spend time maintaining locators.
3. ACCELQ
Migration Friction: Medium | Automation Depth: High | Pricing: Custom (enterprise quotes)
Best for: Enterprise QA teams that want cloud-based, no-code automation for web and API testing.
ACCELQ is fully cloud-based. No local setup, no desktop app to install. It supports web, API, and mobile testing from one platform. [G2 rating of 4.7/5] across 134 reviews, with strong marks for test management features like traceability and requirements mapping.
The mobile testing side is available but web and API are the stronger areas. Pricing isn't published. You need to request a quote, and enterprise contracts tend to run high. The learning curve for the workflow builder is moderate compared to plain-English tools like Drizz or testRigor.
ACCELQ fits enterprise teams already invested in cloud-based tooling. If your primary need is native mobile app testing, the mobile automation isn't as deep as the web side.
4. Testsigma's
Migration Friction: Low | Automation Depth: Medium | Pricing: Free (open source), cloud from $249/mo
Best for: Teams that want plain-English test authoring with the option to self-host.
Testsigma lets you write tests in natural language and runs them on cloud devices. It's open source, so you can self-host the community edition. It supports web, mobile, and API testing in one platform, and there's a cloud device lab in the paid plans.
On r/QualityAssurance, Testsigma comes up regularly when people ask about no-code alternatives. The appeal is obvious: plain-English steps, open-source option, and a lower price point than most competitors. But mobile test execution can be inconsistent on certain device configurations. The plain-English parser handles standard flows well but can struggle with complex conditional logic.
The open-source path is attractive for teams that want control. But mobile reliability isn't at the same level as tools that were built mobile-first from the start.
5. testRigor
Migration Friction: Low | Automation Depth: Medium | Pricing: Custom (starts ~$600/mo)
Best for: QA teams that want to write tests in plain English without managing test infrastructure.
testRigor is probably the closest competitor to Drizz in philosophy. You write tests in plain English, no selectors, no code. It handles web, mobile, and API testing. The community is active and the support team is responsive.
The web side is more mature than the mobile side. Pricing isn't published, and custom quotes start around $600/mo based on user reports. On r/AI_Agents, one user described the no-code space this way: "Mabl provides self-healing and visual testing. Reliable for regression coverage, though cost can increase with scale." That same thread positioned testRigor and Rainforest QA as the go-to no-code options, while noting that managed services like QA Wolf work better for teams that want completely hands-off QA.
The main difference between testRigor and Drizz is what happens under the hood. testRigor still uses some form of element identification. Drizz uses Vision AI, no locators at all, and is mobile-native from the ground up.
6. Tricentis Tosca
Migration Friction: High | Automation Depth: High | Pricing: Custom (enterprise, typically $50K+/year)
Best for: Large enterprises with complex SAP, Salesforce, and web application stacks.
Tricentis Tosca is the most-compared alternative to Leapwork on PeerSpot. Both serve enterprise teams. Tosca is bigger and more expensive. It uses model-based test automation to reduce maintenance, has strong SAP and Salesforce testing, and Gartner recognizes it in the test automation category.
But pricing is enterprise-only, typically $50,000+/year. Setup and onboarding take weeks or months. You'll likely need Tricentis professional services to get started. And native mobile testing isn't the primary use case. Mobile is supported through partner integrations, not built into the core platform.
One thing worth knowing: on r/QualityAssurance, a tester evaluating Leapwork for Dynamics 365 noted that "Leapwork doesn't have any specific tricks for automating Dynamics" and suggested UiPath instead. The same applies to Tosca. If you're looking for specialized mobile automation, these enterprise tools aren't built for that.
Tosca is built for the same buyer as Leapwork (enterprise, desktop/web-heavy) but at a higher price point. If you're moving to mobile-first testing, this isn't the right direction.
7. Mabl
Migration Friction: Low | Automation Depth: Medium | Pricing: From $600/mo
Best for: Web-focused teams that want AI-powered test creation with low-code setup.
Mabl is a cloud-based test automation platform focused on web applications. It uses AI to create, execute, and maintain web tests. The auto-healing is solid, the CI/CD integration is strong, and the documentation is good.
But there's no native mobile app testing. Mabl is web-first and web-only for automation. As one user on r/AI_Agents described it, Mabl "provides self-healing and visual testing" and is "reliable for regression coverage, though cost can increase with scale." That's a fair summary for web teams. But if your product is a native mobile app, Mabl won't cover your primary test surface.
What is Leapwork and where does it work well?
Leapwork is a no-code test automation platform based in Copenhagen. You drag and connect flowchart blocks to build test flows. You don't write code. The tool has a Microsoft partnership for Dynamics 365 and Power Platform automation. It handles SAP, Citrix, and virtual desktop testing well. On G2, it has a 4.6/5 rating across 107 reviews, with 48% of reviewers from enterprise companies.
One QA Lead at a mid-market company wrote on G2: "The visualization and simplicity is an absolute dream. Integration is super simple and easy to implement." Leapwork's support team has a 96% satisfaction rating. The platform integrates with Jenkins, Jira, TestRail, and most CI/CD tools.
Where does Leapwork fall short for mobile teams?
The mobile gap shows up in multiple places. A reviewer on Test Automation Tools noted that executing data-driven tests on mobile devices has been difficult in certain environments. Another G2 reviewer from an enterprise company noted that the platform only supports C# for custom scripting, which limits teams that need more flexibility.
The community feedback is sharper. As one QA tester on r/softwaretesting put it: "Their 'priority support' is even worse... their default response is always 'let's schedule a call.'" Another tester asking about Leapwork on r/softwaretesting said they couldn't find many sources online about it, and questioned whether it would become popular like Cypress or Selenium. The responses in that thread were mixed, with one commenter saying "Seriously, steer away from this product unless you know DAMN good and well you have NO ability to code ANYTHING at all."
The pricing makes the mobile gap harder to justify. Vendr's transaction data shows the average contract is $45,000/year. For a tool whose target market is D365, as the Reddit community noted, that price makes sense for enterprise desktop automation. For mobile-first teams, it doesn't.
What's the difference between Leapwork's flowchart builder and plain-English testing?
Leapwork uses drag-and-drop blocks to build visual test flows. Plain-English tools like Drizz and testRigor let you type test steps as sentences ("Tap on Login," "Type user@email.com into Email field"). The plain-English approach is faster to write and easier for non-technical team members to read.
Leapwork works well for desktop and SAP automation. But if your team is testing native mobile apps, the flowchart builder doesn't fit the workflow.
Drizz was built for mobile from day one. Plain-English commands, Vision AI, real-device execution, and tests that heal themselves when the UI changes. See the platform.
Which Leapwork alternative should you pick?
Testing native mobile apps on real devices with no-code authoring? Drizz.
Need one platform for web, mobile, API, and desktop? Katalon.
Enterprise team with SAP and Salesforce testing needs? Tricentis Tosca.
FAQ
What is the best Leapwork alternative for mobile app testing?
Drizz is built specifically for mobile. It uses Vision AI to detect elements visually, writes tests in plain English, runs on real Android and iOS devices, and self-heals when the UI changes.
How much does Leapwork cost per year?
Leapwork's pricing isn't published. Based on Vendr transaction data, contracts range from $22,000 to $75,000/year, with an average of $45,000/year.
Can Leapwork test native mobile apps?
Leapwork supports mobile testing, but G2 reviewers and Reddit users have flagged it as a weak area. The platform's strengths are desktop, web, SAP, and Citrix automation.
Is there a free alternative to Leapwork?
Testsigma has a free open-source edition. Katalon has a free tier for small teams. Drizz offers a free trial with 50 test runs.
