Appium test automation services
Appium automates real mobile apps on real devices — the only way to catch the problems that only appear on a specific OS version, a small screen or a phone that is running low on memory.
Where we use Appium
Appium is part of the stack on these 2 services. Each page covers how we work, what you get and what it costs to start.
Appium in practice
Appium automates real mobile applications on real devices, which is the only way to catch the failures that matter: behaviour on an older OS version, layout on a small screen, or an app being killed under memory pressure. Emulators do not reproduce any of those conditions faithfully.
It uses the same WebDriver protocol as Selenium, so the concepts transfer and a team can often reuse its existing test infrastructure. The realistic setup is a small smoke suite on every build and a fuller regression run nightly against a device cloud — mobile test runs are slow enough that running everything on every commit is not a sensible default.
What we build with Appium
iOS and Android regression coverage across the device and OS combinations your users actually have.
One suite covering both platforms where the app behaves the same, which halves the maintenance burden.
Runs against real device farms, so coverage is not limited to whatever handsets sit in the office drawer.
Is Appium right for you?
Ask usA good fit when
- Native iOS and Android apps needing regression coverage
- Release-critical flows verified on real devices before shipping
- Cross-platform apps where one suite can cover both
- Teams already using WebDriver-based tooling
Probably not when
- Web-only products — browser tools are far quicker
- Teams without access to a device cloud or real devices
- Projects wanting fast per-commit feedback, which mobile runs cannot give
What we run alongside Appium
The rest of the setup, and why each piece is there. We keep this list short on purpose — every dependency is something someone has to maintain.
- Device cloud
- BrowserStack, Sauce Labs or Firebase Test Lab — real devices without buying hardware.
- Page Object Model
- Screen abstractions, so a layout change is one edit.
- Accessibility ids
- Stable locators that survive redesigns, unlike XPath over the view hierarchy.
- CI integration
- Smoke suite per build, full regression nightly.
- Appium Inspector
- Finding the right locators without guessing at the hierarchy.
Why Appium
Let’s talkReal devices, real conditions
Emulators do not reproduce memory pressure, network flakiness or manufacturer behaviour. Devices do.
One tool for both platforms
The same framework and often the same tests for iOS and Android.
Works with any app type
Native, hybrid and mobile web apps are all automatable through the same driver.
What we get called in to fix
Get a second opinionSlow, unreliable runs
Suites taking hours with intermittent failures, so releases stop waiting for them.
Emulator-only testing
Coverage that misses exactly the manufacturer and memory-pressure problems users hit.
Brittle locators
Tests tied to the view hierarchy, breaking on every UI change.
Version drift
Appium and driver versions out of step with current iOS and Android, so the suite stops running at all.
Appium or the alternative
The comparisons we are actually asked to make, answered the way we would answer them on a call.
Detox is faster and more stable for React Native specifically. Appium when you need one tool across native, hybrid and multiple platforms.
Maestro is far simpler to write and increasingly capable. Appium for complex suites and existing WebDriver investment.
Emulators for development speed. Real devices for anything release-critical — the failures are different.
Got an idea? Let’s make it real.
Tell us the short version
This could be the first step towards a new and successful collaboration. A one-line idea and a finished spec are both fine — tell us the problem, the deadline you’re working to and what’s in your way.
Keep looking
Frequently asked questions
For release-critical checks, yes — usually through a device cloud rather than by buying hardware.
The ones in your analytics. We set the matrix from real usage rather than from a generic top-ten list.
Yes, typically nightly against a device cloud, with a smaller smoke set on every build.
The ones in your analytics, plus a low-end device and one known for aggressive battery management. That is where problems appear.
Usually not. A device cloud gives broader coverage for less than maintaining a physical lab.