MEmu Play vs redroid
MEmu Play
memuplay.comredroid
github.comSide by side
| Figure | MEmu Play | redroid |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | — |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 1 |
| Spec score · Android emulators | 8.1 (#9) | 7.7 (#13) |
| Desktop platforms | Windows | Linux |
| Multi-instance | Yes | Yes |
Plans
In their own words
MEmu Play
MEmu Play is Windows software that simulates Android so users can install, use, and uninstall Android apps on a PC. It supports Google Play and lets users control apps and games with a keyboard and mouse, with external controllers supported in some cases. Features include keyboard mapping, macros, game automation, video recording, GPS simulation, and command-line scripts. Multi-instance mode can run multiple accounts for one game or different games at the same time. The maker describes enhanced OpenGL and DirectX 3D rendering for larger screens. MEmu Play is free and may contain advertisements. It requires Windows 7 or later, a 2-core Intel or AMD processor, enabled hardware virtualization, at least 2 GB RAM (4 GB for x64), and 5 GB of free disk space. The maker says it does not currently offer Mac or Linux versions. Its online installer includes ad plugins users can reject; the maker describes the offline installer as a cleaner version.
redroid
redroid is open-source software that runs Android in containers on Linux hosts. It targets cloud gaming, virtualized phones, and automation testing, and supports multiple instances through Docker, Podman, or Kubernetes. Hosts can use arm64 or amd64 architectures, with documented Android images from 8.1 through Android 16; Android 12 and later also have 64-bit-only variants. GPU rendering can use software rendering, host GPU acceleration, or automatic detection. Display width, height, frame rate, and DPI are configurable; documented defaults are 720×1280, 320 DPI, and 30 FPS with GPU or 15 FPS without it. The documentation covers ARM apps in x86 instances and adding Google services through Open GApps, MicroG, or MindTheGapps. Android Debug Bridge connects to instances, while scrcpy displays screens. Deployment requires specific Linux kernel features, and the project warns that public ADB exposure can compromise the container and host.