Teams usually leave Appium when they're spending more time keeping tests alive than finding bugs with them. Most tools below change how tests are written, the device clouds keep your scripts and change where they run, and QA Wolf changes who maintains them. Only one reads each pull request and decides what to test on the build that PR produced. That one is QA.tech, so it leads this list of Appium alternatives, followed by the frameworks, device clouds and AI platforms teams usually shortlist.
Facts on each tool were checked on the vendor's own docs on 6 November 2026.
Why teams leave Appium
Appium is open source, speaks the WebDriver protocol, and covers both platforms from one API through its XCUITest and UiAutomator2 drivers. Version 3.0.0 shipped on 18 August 2025. The complaints are about what it costs to run.
Locators. Appium finds elements through accessibility IDs, resource IDs, predicates or XPath. The XCUITest driver's own docs say XPath is "sometimes up to 10x slower" and recommend faster strategies, which in practice means developers adding IDs to every screen. On Android, the UiAutomator2 docs warn that Google is planning to deprecate the classes behind -android uiautomator locators.
Moving parts. A server, a driver per platform, a client library, Node, the Xcode and Android SDK toolchains, capabilities, and the device farm. The Appium 2 to 3 migration removed deprecated endpoints and moved routes, so upgrades come with work.
Waits. In an academic study of flaky UI tests, asynchronous waits were the root cause of 32.5% of the Android cases, and 22 of the 83 flaky Android tests (26.5%) were "fixed" by deleting them. Bitrise reports the same pressure at scale: across more than 10 million builds from January 2022 to June 2025, the share of teams seeing any test flakiness rose from 10% to 26% (Bitrise Mobile Insights 2025).
The redesign. Every scripted suite hits this, Appium or not. An architect on a consumer app team told us their suite only became a maintenance problem once it grew: one redesign of the login page, and every test that passes through it needed adapting.
QA.tech
QA.tech is an AI testing platform that tests native iOS and Android apps, web apps and APIs with the same agent. You describe each test case in plain language. The agent reads the screen and works the app through taps, swipes, typing, hardware buttons and deep links, the way a tester would, so there are no locators, test IDs or per-platform scripts to keep in sync.
The agent doesn't need test IDs or access to the view hierarchy. It reads the rendered screen, combining QA.tech's own screen-interpretation models with visual language models, so a QA engineer can describe a new flow the day it ships without waiting for a developer to tag anything.
None of the other tools here reads the pull request and decides what to test on the build it produced. Your CI uploads the simulator or emulator binary for that PR, and the agent works from the PR description, linked tickets and diff. It picks the existing test cases the change touches, adds new ones where coverage is thin, and leaves a native GitHub or GitLab review with a verdict of pass, fail, or unable to verify. GitHub Actions, GitLab, Bitrise and fastlane all use the same upload. The same upload also drives scheduled regression test plans, and your web and API tests live in the same project and report.
If your iOS and Android apps share most of their features, put both builds under one application and a single set of test cases covers the two platforms. Runs use cloud iOS Simulators and Android Emulators, with real devices available through Amazon Device Farm, and mobile is included in the Growth and Enterprise plans. The CI side is covered in mobile pull request testing.
A QA.tech review on pull request #46 of our demo CRM web app; mobile reviews arrive on the PR in this layout too.
The alternatives, and what each leaves you maintaining
Maestro
Open-source UI testing from mobile.dev. Tests are YAML "flows" with built-in waiting, and Maestro Studio helps you write them against a live screen. Elements are matched by on-screen text or by ID, and the docs call IDs "highly recommended" for icons, dynamic content and localised apps, which puts you back to adding identifiers.
Even so, the flows are still a suite someone owns. An engineering lead at a field-operations app told us their Maestro tests were "a little bit, at the moment, broken. And we're not even watching them." The supported-platforms page lists iOS as simulators only. The AI assertion, assertWithAI, is experimental and defaults to optional so that "unstable AI responses" don't fail CI. Per-PR status checks need Maestro Cloud.
Detox
Wix's gray-box framework for React Native. It watches your app's async work to cut flakiness. The cost is testIDs: the Detox guide asks for a unique ID on every element you touch, forwarded through custom components down to a native view.
Detox officially supports React Native 0.77 to 0.84, while Expo SDK 58 already targets React Native 0.88. Real devices are "not yet supported on iOS". There's no hosted service, so your CI runs everything.
XCUITest and Espresso
Apple's and Google's native UI frameworks. They live inside Xcode and Android Studio and find elements through accessibility identifiers and view IDs.
You end up with two suites, one in Xcode and one in the Android repo, each with its own IDs. Google describes Espresso as "targeted at developers", and that's who ends up owning both suites. Moving off Appium to these trades one cross-platform suite for two native ones.
BrowserStack App Automate and Sauce Labs
Real-device clouds. They run the Appium, Espresso, XCUITest or Maestro scripts you already have on physical phones, and both now add AI on top: BrowserStack sells a Self-Healing Agent that "auto-remediates broken locators", and Sauce Labs has AI test authoring as a paid Enterprise add-on.
Either way, you still write and maintain the scripts. A healed locator means a locator broke first, and a wrong guess can leave the test green on the wrong element. BrowserStack's natural-language option for apps is in beta. We compare device clouds more fully in BrowserStack alternatives.
Katalon Studio
A low-code IDE whose mobile testing runs on top of Appium. Studio 11 supports Appium 3, and you install Appium and its drivers yourself.
Under the recorder, the drivers, Node versions and WebDriverAgent setup for real iPhones are all still yours to run.
Testsigma
A low-code and agentic platform where one test runs on native iOS and Android, with plain-English authoring and agents that generate tests from stories and designs.
Its "Atto Healer" re-finds elements and shows before-and-after fixes for review, so the suite still breaks and still needs someone to approve the repairs. It runs on every build in your CI, but the docs don't describe testing a pull request's own build.
mabl
Low-code test automation that added native mobile. Tests are trained with mabl's record-and-playback Trainer, and runs can report back to a PR.
Recorded tests are still recorded steps to retrain when flows change, and mabl's mobile help pages still describe early-access limits. Runs use cloud emulators and simulators.
Momentic
An AI testing platform that added native mobile. Tests are YAML files in your repo that mix preset steps with AI actions, and the agent finds elements by intent.
Its tests are still YAML files your team writes, reviews and keeps in the repo. The CI tool runs them and returns a status; we found no review of the change itself.
QA Wolf
A managed service. QA Wolf's team builds and maintains your mobile suite, and its agents "use Appium to interact with native mobile elements". iPhones and iPads are real devices; Android runs on emulators.
You still have an Appium suite, just on someone else's payroll, and your team still triages every bug they file. We compare the model directly in QA.tech vs QA Wolf.
Quick comparison
| Tool | How tests are written | How it finds elements | Runs on | Tests each PR's own build | What your team maintains |
|---|---|---|---|---|---|
| QA.tech | Plain-language goals | Reads the screen | Cloud simulators and emulators | Yes, with a review and verdict on the PR | Goals for the flows that matter |
| Appium | Code (Java, Python, JS and more) | Accessibility IDs, resource IDs, XPath | Your devices, emulators or a cloud | Only if you build it | Code, locators, server, drivers, devices |
| Maestro | YAML flows | Text or IDs | iOS simulators, Android emulators and devices | With Maestro Cloud | Flows, IDs, CI |
| Detox | JavaScript | testIDs | Simulators and emulators | Only if you build it | Tests, testIDs, RN version window |
| XCUITest / Espresso | XCTest in Xcode; Kotlin or Java | Accessibility IDs, view IDs | Simulators, emulators, devices | Only if you build it | Two suites in two languages |
| BrowserStack / Sauce Labs | Your existing scripts | Your scripts' locators | Real devices | Your CI triggers runs | Scripts plus the device matrix |
| Katalon Studio | Low-code on Appium | Appium locators | Appium targets | Your CI triggers runs | Appium, drivers, recordings |
| Testsigma | Plain English or recording | Healed locators | Devices and emulators | Runs on each CI build | Tests and healing approvals |
| mabl | Recorded with the Trainer | On-screen appearance | Cloud simulators and emulators | Reports to PRs | Trained tests |
| Momentic | YAML with AI steps | Intent | Simulators and emulators | Runs as a CI check | YAML tests in the repo |
| QA Wolf | Their engineers and agents, on Appium | Via Appium | Real iPhones, Android emulators | Alongside PRs | The vendor relationship |
FAQ
What is the best alternative to Appium? It depends on what you're leaving. If the problem is maintenance, look at tools that don't use locators at all. If you need tests that run on every pull request against that PR's build, look for a tool that takes the PR's binary from CI and reports back on the PR itself.
Is Maestro better than Appium? Maestro flows are YAML with waiting built in, and there's no server or driver to install. It's still a scripted suite matched on text or IDs, so it needs the same upkeep when screens change.
Can AI replace Appium for mobile testing? For most functional flows, yes. An agent can cover login, checkout and settings journeys without locators. Flows that depend on NFC, Bluetooth or a live camera feed still need physical hardware, whichever tool you use.
Does QA.tech run on real devices? Yes, through Amazon Device Farm, for the flows that need physical hardware. Most pull request checks run on cloud iOS Simulators and Android Emulators, which suit that job better; we explain why in emulator vs real device testing.
Does moving off Appium mean rewriting every test? Moving to another scripted framework does. Moving to plain-language test cases means describing each flow, such as "log in and add a saved card", and adding explicit steps where the path matters. Locators and waits don't carry over, because there aren't any.