Appium vs. TestMax AI

1. It's open source which supports range of languages, operating systems and languages. Well suited for Android and IOS mobile automation. Supports all kinds of apps, which makes it flexible and robust mobile testing tool 2. It is less appropriate where we need intercept network call to verify the API calls. Extensive coding experience is required to work Appium

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• It uses WebDriver API so it makes it easy to use for former web test automation engineers.
• It can be managed via the command line via an extensive set of parameters.
• It handles implicit waits at the server side that is especially valuable in distributed infrastructure.

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• Element browser sometimes is unreliable and has sporadic fails.
• Appium running is a bit slow, compared to tests written with Appium and with Espresso or XCTest.

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I am rating 10/10 because Appium can use with multiple programming languages with multiple Test engines. Also, it works for both Android and iOS.

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I would like to give 9/10 rating to Appium because of it can easily integrate with popular frameworks and CI/CD tools, as well as it is reliable, flexible and easy to use. The setup can bit complex in initial step, but once on configured it's very easy to use and enables stable and scalable mobile automation for real and cloud devices.

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If you're an Apple developer, you use Xcode. It's practically a forced necessity. For system testing though, it doesn't have to be. You can have your development team focus on unit and integration tests in their platform and another team automate acceptance tests with a language they are more familiar with.

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• Appium is open source, so it's free. That's budget friendly right there.
• The ability to write mobile automation tests has saved considerable time for our manual test team, but that is true with most automation tests.
• We use Sauce Labs with our other automation, but Appium works great with Sauce Labs, as well, if I needed to run on emulators and simulators.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info