Android is supported by a wide range of mobile test automation tools, but that does not mean all of them solve the same testing problem. Appium, Espresso, UI Automator, Maestro, and Detox can all be used in Android testing, yet they approach automation from very different directions.

Some are tightly connected to the Android development stack, while others are designed to provide cross-platform or black-box automation with automated web testing tools. The practical choice usually comes down to what you are testing. A native Android application may benefit from Espresso because it is designed specifically around Android UI testing.

A team testing the same application on Android and iOS may prefer Appium or Maestro. UI Automator becomes particularly useful when a test needs to interact with Android system UI, notifications, settings, permissions, or another application. Detox has a much narrower but useful role for React Native applications.

There is another distinction that causes confusion: an automation framework is not the same thing as a device cloud. Appium or Espresso provides the technology for controlling and testing an application, while services such as Firebase Test Lab, BrowserStack, Sauce Labs, or Kobiton can provide devices and execution infrastructure.

The two are often used together.

So, which mobile test automation tools support Android? Quite a few do. The more useful question is which one fits your application, testing scope, team skills, device strategy, CI/CD workflow, and long-term maintenance requirements.

What Are Mobile Test Automation Tools for Android?

Android mobile test automation tools allow teams to execute repeatable tests against Android applications without manually performing every interaction. A test can launch an application, tap a button, enter text, navigate between screens, verify results, and complete an entire user journey automatically.

That makes automation particularly valuable for functional testing and regression testing. Imagine an application where every release changes the login screen, checkout process, payment flow, or account settings. Manually repeating those checks across several Android versions becomes expensive very quickly. An automated regression suite can perform the same checks consistently whenever a new build is produced.

Android automation can also cover UI behavior, end-to-end workflows, compatibility checks, emulator execution, and real-device testing. Some frameworks can interact with the application process itself, while others operate at the device or presentation layer. Espresso, for example, is closely integrated with Android UI testing and deliberately handles synchronization to reduce a common source of UI-test flakiness.

Automation does not eliminate manual testing. Exploratory testing, usability evaluation, visual inspection, unusual gestures, accessibility review, and investigating unexpected behavior still benefit greatly from human testers. Automation is strongest when it handles repetitive checks that need to be run again and again.

Which Mobile Test Automation Tools Support Android?

Several established mobile test automation tools support Android, but their focus varies considerably.

Tool	Android support	iOS support	Application or testing focus	Best practical use
Appium	Yes	Yes	Native, hybrid, mobile web UI automation	Cross-platform mobile automation
Espresso	Yes	No	Native Android UI testing	Android-focused application testing
UI Automator	Yes	No	Android UI and system-level interaction	Cross-app and system UI workflows
Maestro	Yes	Yes	High-level, flow-based UI and E2E testing	Simple maintainable mobile flows
Detox	Yes	Yes	React Native end-to-end testing	React Native applications
WebdriverIO with Appium	Yes	Yes	JavaScript/TypeScript automation with Appium	JS/TS-based mobile automation
Robot Framework with Appium	Yes	Yes	Keyword-driven automation	Teams preferring keyword-based tests
Katalon	Yes	Yes	Low-code and integrated mobile automation	Teams seeking a broader low-code platform

Appium provides a cross-platform automation approach and exposes platform-specific capabilities through a common API model. Its Android support is provided through the Appium ecosystem, including the UiAutomator2 driver for Android.

Espresso and UI Automator come from the Android testing ecosystem and serve different purposes. Android documentation describes UI Automator as suitable for cross-app functional UI testing, including interactions with system and installed applications, while Espresso is focused on UI interactions within the application.

Maestro takes a higher-level, flow-oriented approach and can drive Android emulators and physical devices from outside the application. Detox is primarily associated with React Native end-to-end testing and has Android support, although its current documentation makes clear that non-React-Native Android applications are not its supported target.

The important point is that "supports Android" is only the beginning. A native Android application, a React Native application, a hybrid application, and a mobile web application can have very different automation requirements. The framework that looks ideal on a comparison table may become awkward once the actual application architecture and test scope enter the picture.

Best Mobile Test Automation Tools That Support Android

Appium

Appium is one of the most recognizable choices when teams need Android automation without committing themselves exclusively to Android. It is an open-source automation ecosystem designed around UI automation across application platforms, with the goal of exposing platform-specific automation capabilities through a common API.

For Android, Appium commonly works through its UiAutomator2 driver. Current Appium documentation separates drivers from the core Appium installation, and the UiAutomator2 driver is used for Android automation. Katalon's current documentation also shows Appium 3 with the UiAutomator2 driver being used for Android native and hybrid mobile testing.

One of Appium's biggest practical advantages is cross-platform coverage. If a team has Android and iOS applications and wants a broadly similar automation architecture, Appium is a reasonable candidate. It can also be useful for native and hybrid applications and mobile web scenarios.

The tradeoff is that Appium introduces another automation layer between your test code and the mobile application. That is not automatically bad, but it means there is more infrastructure to understand and maintain. Driver versions, capabilities, application contexts, device configuration, selectors, and synchronization can all become part of the automation problem.

In practice, Appium makes the most sense when cross-platform coverage is important, when the team already has experience with WebDriver-style automation, or when the organization wants a flexible automation layer that can work across different mobile platforms.

For a purely native Android project, however, I would not automatically choose Appium just because it is popular. If the development team is deeply invested in Android-native testing and the tests are primarily Android UI tests, Espresso may offer a more natural fit.

Espresso

Espresso is Google's Android UI testing framework and is particularly important for teams building native Android applications. Its API is designed around common user interactions with application UI elements, while its architecture helps synchronize interactions with the application so tests are less dependent on arbitrary timing.

That synchronization is one of Espresso's most useful characteristics. UI tests often become flaky because a test tries to click something before the application has finished rendering or processing an operation. Espresso was designed to reduce this kind of problem rather than making test authors manually coordinate every interaction.

Espresso is also closely aligned with the Android development workflow. Android teams can write instrumentation tests as part of their application project and execute them on emulators or physical devices. Firebase Test Lab, for example, supports Android instrumentation tests written with Espresso and UI Automator and can execute them across physical and virtual Android devices.

The limitation is obvious: Espresso is Android-focused. If your organization wants one broadly consistent automation approach across Android and iOS, Espresso does not solve that problem.

For a native Android application, though, that limitation can actually be an advantage. You are not paying for cross-platform abstraction that you do not need. If your Android developers are already comfortable with Kotlin, Java, Gradle, Android Studio, and Android instrumentation testing, Espresso can fit naturally into the existing workflow.

UI Automator

UI Automator is useful when your test needs to move beyond the boundaries of the application being tested. Android documentation specifically positions UI Automator for cross-app functional UI testing, including interactions with system and installed applications.

This difference matters more than it may initially appear.

Suppose your application opens an Android permission dialog. Or a test needs to open Settings, interact with a system notification, work with another installed application, or verify behavior involving Android system UI. These are not always straightforward application-level UI tests.

UI Automator is designed for this kind of situation. It can interact with Android's broader UI environment rather than being restricted to the views belonging to your application's process.

That makes it particularly valuable for workflows involving permissions, notifications, system dialogs, Settings, launchers, or cross-application interactions.

It is not necessarily a replacement for Espresso. In many Android projects, the two technologies are complementary. Espresso can handle application UI while UI Automator handles interactions that cross into system-level or other-application territory.

Maestro

Maestro takes a different approach. Instead of requiring the test to be deeply integrated with the application's code, it provides a high-level flow-based automation model. Its Android documentation describes it as operating through the Android display stack and driving the device from outside the application. It can work with Android emulators and physical devices.

The attraction is simplicity. A test can describe a user flow using commands such as launching an application, tapping elements, entering text, and making assertions. The tests are written as flows rather than as a large conventional automation codebase.

That makes Maestro appealing for teams that want to automate common end-to-end journeys without building a large amount of framework-specific infrastructure. It can also be useful when the same broad testing approach is needed across Android and iOS. Its documentation provides cross-platform configuration options for flows.

The limitation is that simplicity has boundaries. A flow-based tool is not automatically a replacement for detailed native testing. If you need deep access to application internals, sophisticated platform-specific assertions, or highly specialized Android behavior, a native framework may provide more control.

Maestro is therefore particularly interesting for user-facing smoke tests, regression flows, and straightforward end-to-end scenarios where readability and maintenance are more important than deep application-level control.

Detox

Detox is an end-to-end testing framework closely associated with React Native applications. It supports Android and iOS, but its Android use case is especially relevant when the application itself is built with React Native.

Its architecture is designed around synchronizing the test with the application so that tests can interact with the application while it is running on a device or simulator. Detox documentation describes native Android and iOS components that integrate with the tested application and coordinate commands and synchronization.

This makes Detox a sensible option for a React Native team that wants end-to-end tests close to its existing JavaScript or TypeScript ecosystem.

There is an important caveat. Detox's current documentation explicitly states that non-React-Native Android applications are not currently supported. That means it should not be treated as a general-purpose Android automation framework.

For React Native, however, it can be a very relevant choice because the framework and application architecture are designed to work together.

WebdriverIO With Appium

WebdriverIO and Appium are sometimes incorrectly presented as competing mobile automation frameworks. They are better understood as complementary technologies.

WebdriverIO provides a JavaScript and TypeScript-friendly automation layer, while Appium provides the mobile automation capabilities underneath. WebdriverIO's documentation specifically recommends Appium for mobile applications and supports Android and iOS mobile testing through that ecosystem.

This combination can make sense for teams already using WebdriverIO or strongly invested in JavaScript or TypeScript. Rather than introducing an entirely separate automation language and style for mobile testing, the team can use a familiar WebdriverIO environment while connecting it to Appium for mobile execution.

The important point is that choosing WebdriverIO with Appium does not mean choosing between WebdriverIO and Appium. They occupy different layers of the automation stack.

Robot Framework With Appium

Robot Framework takes a keyword-driven approach to automation. Tests are written using readable keywords rather than requiring every test case to be expressed directly as conventional programming code. Robot Framework describes itself as an open-source automation framework with a human-friendly syntax and an ecosystem of libraries.

For mobile testing, AppiumLibrary connects Robot Framework with Appium. The result can be useful for teams that prefer keyword-driven test design, especially when test readability for a broader QA group is important.

The downside is similar to other abstraction layers: fewer lines of traditional code do not necessarily mean less complexity. The underlying Android behavior still exists. Device setup, Appium configuration, selectors, synchronization, application state, and debugging still need to be handled.

Robot Framework is therefore best viewed as an alternative way of authoring and organizing Appium-based automation rather than a completely separate Android automation engine.

Katalon and Other Low-Code Tools

Katalon provides a more integrated approach to mobile automation, including Android support, recording capabilities, local devices, emulators, and remote execution. Its current documentation shows Android testing through both local real devices and Android emulators, as well as remote and cloud-device execution.

This type of platform can be attractive when the organization wants a broader testing environment rather than assembling every part of the automation stack independently. Recording and low-code capabilities can also reduce the initial barrier for testers who are not primarily software developers.

The tradeoff is control and abstraction. A low-code platform may speed up early adoption, but teams still need to evaluate how easily complex scenarios can be customized, debugged, version-controlled, and maintained as the test suite grows.

How Do Android Test Automation Tools Differ?

Native Android vs Cross-Platform Automation

Native Android frameworks such as Espresso and UI Automator are closely aligned with Android's own testing environment. Cross-platform tools such as Appium and Maestro are designed to make automation work across Android and other platforms. Detox is also cross-platform, but its practical scope is strongly tied to React Native applications.

Choosing a native framework is not automatically choosing an inferior or less flexible solution. If Android is the only platform that matters, native integration can be exactly what you want.

Cross-platform automation becomes more attractive when maintaining separate automation architectures for Android and iOS would create unnecessary duplication.

App-Level vs System-Level Testing

Espresso is primarily concerned with interactions inside the Android application, while UI Automator is useful when the test needs to cross application boundaries or interact with Android's system UI.

That distinction becomes important with permission dialogs, notifications, Settings, launchers, and other system-controlled interfaces.

Code-Based vs Simpler Test Authoring

Traditional code-based frameworks provide significant control and flexibility. Flow-based or keyword-driven systems can make common scenarios easier to read and maintain.

But less code is not automatically better automation. A five-line test that becomes impossible to debug is not more maintainable than a twenty-line test that clearly explains what went wrong.

The right level of abstraction depends on the team and the complexity of the application.

Emulator vs Real Android Device Testing

Emulators are extremely useful for development and CI because they can provide repeatable environments and broad API-level coverage without requiring a physical device for every test.

Real devices expose another class of problems. Hardware behavior, manufacturer modifications, screen characteristics, biometrics, sensors, performance differences, and device-specific Android behavior can produce failures that an emulator does not reproduce.

Google's Firebase Test Lab documentation recommends using virtual devices for fast and repeated testing while also testing significant releases on physical devices, particularly for functionality that depends on physical hardware.

Which Android Test Automation Tool Should You Choose?

Project situation	Practical starting point
Native Android application	Espresso
Android system UI interaction	UI Automator
Android and iOS application	Appium or Maestro
React Native application	Detox
Simple cross-platform UI flows	Maestro
JavaScript or TypeScript automation team	WebdriverIO with Appium
Keyword-driven automation	Robot Framework with Appium
Large real-device testing requirements	Automation framework plus device infrastructure
Low-code testing requirement	Katalon or a comparable platform

For a native Android application, Espresso is often the most natural starting point. If the test needs to interact with Android outside the application itself, UI Automator becomes more relevant.

If Android and iOS both matter, Appium is a strong general-purpose candidate, while Maestro can be attractive when the priority is simple, readable end-to-end flows. React Native teams have a more specialized option in Detox.

The important thing is not to choose based on popularity alone. Application architecture, platform coverage, team skills, test complexity, CI/CD requirements, device coverage, and expected maintenance all matter.

What Should You Look for in an Android Test Automation Tool?

Android Version and Device Support

Android fragmentation affects automation strategy from the beginning. Different API levels, manufacturers, screen sizes, tablets, foldables, and device configurations can expose different behavior.

A framework may support Android perfectly in a general sense while your test strategy still fails because you only run it against one recent Pixel emulator. Android support and Android coverage are not the same thing.

Native and Hybrid App Support

The architecture of the application matters. A native Android application, hybrid application, mobile web application, Flutter application, or React Native application may expose different automation surfaces.

Before selecting a framework, determine what the test actually needs to control. The answer can eliminate several apparently suitable tools immediately.

Real Device Support

Real devices matter when your application depends on hardware or manufacturer-specific behavior. Camera functionality, biometrics, sensors, performance characteristics, keyboard behavior, screen dimensions, and certain OS interactions can behave differently from an emulator.

This is why mature Android automation strategies usually combine virtual and physical devices rather than choosing one and ignoring the other.

Emulator Support

Emulators remain extremely useful for development and CI. They make it easier to reproduce a known environment and can provide broad API-level coverage without maintaining a physical device lab.

They are particularly useful for fast smoke and regression checks. Firebase Test Lab, for example, supports virtual Android devices and provides test matrices across devices and Android versions.

Programming Language Support

The team's existing skills should influence the decision. A JavaScript-heavy team may naturally prefer WebdriverIO with Appium. An Android team working primarily in Kotlin may find Espresso much more comfortable.

A framework that fits existing engineering practices generally has a lower long-term maintenance cost.

CI/CD Integration

Android automation becomes much more valuable when it runs consistently as part of the development pipeline. A small smoke suite can run against every pull request, while a broader regression suite can execute on a scheduled basis or before a release.

Firebase Test Lab integrates with CI systems and supports Android instrumentation testing across device matrices. Its current documentation also describes smart sharding for large test suites through the Gradle Managed Devices integration, which can help distribute execution in CI/CD environments.

Parallel Testing

Once a test suite grows, sequential execution becomes a bottleneck. Testing ten devices one after another may give you coverage, but it can make the pipeline painfully slow.

Parallel execution allows different device and Android-version combinations to run at the same time. Device infrastructure becomes especially important here because the challenge is no longer just writing tests. You also need enough execution capacity.

Reporting and Debugging

A failed Android test is only useful if you can understand why it failed.

Screenshots, logs, videos, traces, device information, Android version, and useful failure messages can dramatically reduce investigation time. Firebase Test Lab, for example, provides test-specific videos, screenshots, logs, and failure details for its test executions.

Test Maintenance

This is one of the most overlooked factors when choosing mobile test automation tools.

A framework may be easy to install and impressive during the first week. Six months later, the important question is whether the test suite survives UI changes, new Android versions, changing test data, modified selectors, animations, network conditions, and application redesigns.

One mistake teams make is measuring automation success by the number of tests created rather than the number of tests that remain trustworthy. A suite full of flaky tests is not really a safety net.

Can Mobile Test Automation Tools Run Android Tests on Real Devices?

Yes, but the framework and the device are separate parts of the setup.

Appium can execute against Android devices, Espresso tests can run on physical Android devices, and Maestro can connect to physical Android devices as well as emulators. The framework controls or executes the test, while the physical device provides the environment in which the application actually runs.

A team can connect an Android device locally through USB, maintain an internal device lab, or use a cloud device platform. For example, Appium tests can be paired with a real-device cloud, while Espresso instrumentation tests can run through Firebase Test Lab. Firebase currently provides both physical and virtual Android devices and supports test matrices across device models and Android versions.

The distinction is important because buying or selecting an automation framework does not automatically give you a fleet of Android devices. If you need hundreds of device and OS combinations, the execution infrastructure becomes almost as important as the test framework itself.

What Types of Android Tests Can Be Automated?

Functional Testing

Functional automation verifies that an application behaves according to its intended functionality. A simple example is checking that a user can enter valid credentials, sign in, and reach the expected home screen.

UI Testing

UI automation checks interactions with visible application elements. Tests can tap buttons, enter text, scroll through screens, navigate between pages, and verify that expected content appears.

Espresso is particularly designed around this type of Android UI interaction, while tools such as Appium and Maestro provide broader approaches to mobile UI automation.

Regression Testing

Regression testing is one of the strongest reasons to automate Android applications. Once a stable user journey has been automated, the same journey can be repeated after application changes without requiring a tester to manually perform every step.

This becomes especially valuable for large applications where a small UI change can unintentionally affect login, checkout, navigation, account management, or another existing workflow.

Smoke Testing

A smoke suite is usually smaller than a full regression suite. Its purpose is to answer a basic question quickly: does this build appear usable enough for deeper testing?

A typical Android smoke flow might launch the application, sign in with a test account, open a key feature, perform one important action, and verify the expected result.

End-to-End Testing

End-to-end testing follows a complete user journey rather than checking a single isolated screen. For an e-commerce application, that could mean registration, login, product search, adding an item to the cart, and completing checkout.

This is where tools such as Appium, Maestro, and Detox can become particularly useful, depending on the application's technology and desired testing approach.

Compatibility Testing

Compatibility testing evaluates behavior across Android versions, manufacturers, screen sizes, device configurations, and other environments.

This is where Android's fragmentation becomes a practical problem rather than an abstract concept. A test passing on one emulator does not prove that the application behaves correctly across the devices your users actually have.

Common Challenges When Automating Android Apps

Android automation becomes more complicated as the environment becomes more realistic. Device fragmentation, different API levels, screen sizes, manufacturer changes, permissions, system dialogs, keyboard behavior, notifications, dynamic UI elements, animations, and network instability can all affect automated tests.

Timing is another common problem. A test may work perfectly on a developer's machine but fail in CI because the emulator is slower or a backend request takes longer. Adding arbitrary sleep statements can hide the symptom without solving the underlying synchronization problem.

Selectors also deserve attention. If tests depend heavily on unstable identifiers or fragile UI structures, even a harmless UI redesign can break dozens of tests. The more the suite grows, the more expensive that maintenance becomes.

Experienced teams usually reduce these problems through stable selectors, deterministic test data, sensible synchronization, controlled environments, smaller focused suites, meaningful retries, and careful separation between fast checks and broad device coverage.

Flakiness should not be accepted as an unavoidable characteristic of mobile automation. Some failures are caused by the application or environment, but others are symptoms of poorly designed tests.

Android Automation Framework vs Device Cloud: What's the Difference?

An automation framework and a device cloud solve different problems.

Appium, Espresso, UI Automator, Maestro, and Detox are automation technologies. They provide mechanisms for interacting with an application or device and for expressing automated tests.

BrowserStack, Kobiton, LambdaTest, Sauce Labs, Perfecto, and Firebase Test Lab are examples of platforms that can provide device or execution infrastructure. Firebase describes Test Lab specifically as cloud-based app testing infrastructure with physical and virtual devices hosted in Google's data centers.

A simple way to think about it is that the automation framework is the driver, while the device infrastructure provides the road and vehicle on which the test runs.

In a real project, the combination might be Appium plus a real-device cloud, Espresso plus Firebase Test Lab, or Maestro plus a suitable Android device environment. The framework determines how the test is performed; the infrastructure determines where and at what scale it runs.

Best Android Automation Tool by Use Case

Use case	Practical choice
Native Android UI	Espresso
Android system UI	UI Automator
Android and iOS	Appium or Maestro
React Native	Detox
Simple mobile flows	Maestro
JavaScript or TypeScript team	WebdriverIO with Appium
Keyword-driven testing	Robot Framework with Appium
Large real-device matrix	Framework plus device cloud
Low-code testing	Katalon

These recommendations are starting points rather than universal rules. Espresso is particularly compelling when Android is the primary platform. Appium becomes more attractive when cross-platform coverage matters. UI Automator fills a specific system-level gap, while Detox is most relevant when React Native is central to the application.

Maestro is worth considering when readable end-to-end flows and relatively simple authoring are priorities. For large-scale device coverage, the framework should be evaluated together with the execution platform rather than in isolation.

Conclusion

Android has no shortage of capable mobile test automation tools, but the strongest choice depends heavily on what you are testing. For a native Android application, Espresso is a strong option because it fits naturally into Android's testing ecosystem and provides useful UI synchronization. Appium is particularly practical when Android and iOS both need to be covered through a common automation approach. UI Automator is valuable when the test needs to move beyond the application's own UI and interact with Android system elements or other applications. For React Native teams, Detox is a specialized option worth considering, while Maestro can be a good fit for simpler, readable cross-platform mobile flows.

The bigger lesson is that Android support alone should not determine the tool choice. A framework that looks excellent in a feature comparison can become a poor fit if it does not match the application's architecture, the team's technical skills, the required Android versions and devices, or the way tests need to run in CI/CD. Once the test suite grows, maintenance, selector stability, debugging, parallel execution, and device coverage often matter more than how quickly the first automated test was created. For broad Android coverage, the most effective strategy is often a combination of the right automation framework and appropriate real-device or virtual-device infrastructure, rather than expecting one product to do everything.

FAQs

Which mobile test automation tool is best for Android?

There is no single mobile test automation tool that is best for every Android project. For native Android applications, Espresso is often a strong choice because it is built specifically for Android UI testing and integrates closely with the Android development ecosystem. Appium can make more sense when the team needs to test both Android and iOS or wants a more cross-platform automation approach. UI Automator is particularly useful when tests need to interact with Android system UI, notifications, permissions, Settings, or other applications.

The right choice depends on the application's architecture, testing requirements, team skills, device coverage, and maintenance expectations. A tool that works well for a simple native Android application may not be the best option for a React Native product or a project requiring large-scale cross-platform testing.

Does Appium support Android apps?

Yes, Appium supports Android applications and is widely used for automating native, hybrid, and mobile web scenarios on Android. Android automation with Appium commonly uses the UiAutomator2 driver, allowing tests to interact with application elements and execute workflows on Android emulators or physical devices. Its cross-platform nature also makes it useful for teams that need both Android and iOS automation.

Appium is particularly practical when a team wants a common automation approach across mobile platforms or needs flexibility in its programming environment. However, it is not automatically the best choice for every native Android project. Teams focused exclusively on Android may prefer Espresso when they want tighter integration with native Android testing and application development workflows.

Is Espresso better than Appium for Android?

Espresso can be a better choice than Appium when the application is a native Android application and the main requirement is reliable Android UI testing. It is closely integrated with the Android testing ecosystem and provides synchronization mechanisms that help tests wait for application UI operations instead of relying heavily on arbitrary delays. This can make native Android UI tests easier to maintain when the test suite is designed around Android-specific workflows.

Appium can be the better option when cross-platform testing is important, particularly when the same team needs to automate Android and iOS applications. It provides a broader mobile automation approach rather than focusing exclusively on Android. So the practical question is not whether Espresso is universally better than Appium, but whether the project benefits more from Android-native integration or cross-platform flexibility.

Can UI Automator test Android system apps?

Yes, UI Automator is designed to support interactions that go beyond the application currently being tested. It can be useful for Android workflows involving system UI, installed applications, notifications, permission dialogs, Settings, and other interfaces outside the application's own process. This makes it different from application-focused UI automation where the test mainly interacts with views belonging to the application under test.

For example, an Android test may need to launch an application, trigger a permission request, interact with the resulting system dialog, and then continue the workflow. UI Automator is useful for scenarios like this because the test may need to interact with Android itself rather than only with the application's UI. It can therefore complement frameworks such as Espresso instead of being treated as a direct replacement for them.

Does Maestro support Android?

Yes, Maestro supports Android and can run automated flows against Android emulators as well as physical Android devices. Its flow-based approach allows teams to describe common mobile interactions such as launching an application, tapping elements, entering text, scrolling, and checking expected results without building a large traditional automation codebase. This makes it attractive for straightforward UI, smoke, regression, and end-to-end workflows.

The simplicity of Maestro is one of its main advantages, but it does not mean it replaces every Android automation framework. Teams that need deep Android-specific testing, complex application-level control, or highly specialized platform interactions may still benefit from tools such as Espresso or UI Automator. Maestro is most useful when readable, maintainable mobile flows are the priority and the testing requirements fit its higher-level approach.