Project Title

Maestro — Painless E2E Automation for Mobile and Web

Overview

Maestro is a UI testing framework designed for Mobile and Web applications, offering a simple and effective solution for end-to-end automation. It stands out with its built-in tolerance to flakiness and delays, fast iteration, and a declarative yet powerful syntax.

Key Features

Built-in tolerance to flakiness and delays
Blazingly fast test iteration without compilation
Declarative test definition in YAML files
Simple setup with a single binary that works anywhere

Use Cases

Mobile and Web application developers needing reliable UI testing
Teams looking to automate end-to-end testing without extensive setup
Projects requiring fast feedback loops for UI changes

Advantages

Reduces the need for sleep() calls by automatically waiting for content
Continuously monitors test files and reruns them as they change
Interpreted tests allow for quick adjustments and immediate feedback

Limitations / Considerations

As a Kotlin-based project, it may not be suitable for projects not using Kotlin
The framework's effectiveness is highly dependent on the instability of mobile applications and devices, which may not be a concern for all projects

Appium: A popular open-source test automation framework for mobile applications, differing in that it supports multiple programming languages and platforms.
Espresso: A testing framework for Android applications, which is more limited in scope compared to Maestro's cross-platform support.
XCTest: Apple's testing framework for iOS applications, which is more focused on a single platform and does not offer the same level of cross-platform support as Maestro.

Basic Information

GitHub: https://github.com/mobile-dev-inc/Maestro
Stars: 8,912
License: Unknown
Last Commit: 2025-10-03

📊 Project Information

Project Name: Maestro
GitHub URL: https://github.com/mobile-dev-inc/Maestro
Programming Language: Kotlin
⭐ Stars: 8,912
🍴 Forks: 469
📅 Created: 2022-03-31
🔄 Last Updated: 2025-10-03

🏷️ Project Topics

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📚 Documentation

This article is automatically generated by AI based on GitHub project information and README content analysis

Maestro

Project Description