pylume

h earlier. Thanks for going ahead to change that.’ - ‘I’ve been using Colima for a year now to run desktop docker workloads. It would be nice to be able to remove the extra layer of qemu they use.‘ - ‘Looks interesting! I’ve been playing with UTM to do aarch64 VMs and I even cooked up a little Sinatra server to do some AppleScript to reboot the VM and do some other things on the host. I’ll look at this as a more robust solution as to be completely honest, UTM has left a lot to be desired at least for virtualization.‘ Future directions (as asked by our community and design partners): - Docker-compatible interface for macOS VMs - VM suspension and Snapshot management - GPU passthrough (with Paravirtualized Graphics) - Flexible VM, Images and IPSW locations - Sharing USB devices - Remote SSH commands and more UI automation features Common Questions: How does this differ from lima, UTM and Tart: https://github.com/trycua/lume/issues/10 How to Install macOS from an IPSW Image: https://github.com/trycua/lume/blob/main/docs/FAQ.md#how-to-... How do I install a custom Linux image: https://github.com/trycua/lume/blob/main/docs/FAQ.md#how-do-... Python SDK: [github.com/trycua/pylume](https://github.com/trycua/pylume) Discord for feedback: https://discord.com/invite/5ngXY2Wn

say: - ‘Something like Lume should have been a commodity in the ecosystem much earlier. Thanks for going ahead to change that.’ - ‘I’ve been using Colima for a year now to run desktop docker workloads. It would be nice to be able to remove the extra layer of qemu they use.‘ - ‘Looks interesting! I’ve been playing with UTM to do aarch64 VMs and I even cooked up a little Sinatra server to do some AppleScript to reboot the VM and do some other things on the host. I’ll look at this as a more robust solution as to be completely honest, UTM has left a lot to be desired at least for virtualization.‘ Future directions (as asked by our community and design partners): - Docker-compatible interface for macOS VMs - VM suspension and Snapshot management - GPU passthrough (with Paravirtualized Graphics) - Flexible VM, Images and IPSW locations - Sharing USB devices - Remote SSH commands and more UI automation features Common Questions: - How does this differ from lima, UTM and Tart: https://github.com/trycua/lume/issues/10 - How to Install macOS from an IPSW Image: https://github.com/trycua/lume/blob/main/docs/FAQ.md#how-to-... - How do I install a custom Linux image: https://github.com/trycua/lume/blob/main/docs/FAQ.md#how-do-... Python SDK: https://github.com/trycua/pylume Discord for feedback: https://discord.com/invite/5ngXY2Wn

ef("macos-sequoia-xcode", "latest", "ghcr.io", "trycua") await pylume.pull_image(image, "lume-vm") # Run the VM await pylume.run_vm("lume-vm") # Get VM details vm_details = await pylume.get_vm("lume-vm") print("VM Details:", vm_details) # Stop the VM await pylume.stop_vm("lume-vm") if __name__ == '__main__': asyncio.run(main()) • Supports macOS & Linux VMs: Quickly set up prebuilt images from any Github registries with minimal setup time. • Configurability: Adjust VM settings like networking, storage, and more, directly from Python. • One-liner VM Creation: Launch VMs in a single line of code, just like you would with Lume’s CLI. Installation: pip install pylume Why Python? • Automation: Python is great for automation, and with libraries like pyautogui for UI automation, integrating VM management into your workflows allows for testing and automation across different OS environments without needing physical machines. • CI/CD Integration: Pylume can be easily added to CI/CD pipelines to automate testing of software across different operating systems or versions on Apple Silicon. • Testing & Development: Quickly set up isolated environments for testing or development, which is particularly useful for cross-platform development or system-level testing. Feedback & Future Directions: We’d love to hear how you're using pylume! Here’s what we’re working on next: • Enhanced Automation: Adding more tools to simplify and automate complex VM workflows. • More Prebuilt Images: Expanding support for additional OS images and offering pre-built customizations for specific use cases. Links: • Pylume GitHub Repo: https://github.com/trycua/pylume • Lume CLI GitHub Repo: https://github.com/trycua/lume We look forward to your feedback, suggestions, or any issues you come across!

by relying on the latest Apple Virtualization.Framework bits. On Tart: - We share some similarities when it comes to tart's command-line interface. We extend it and make it more accessible to different frameworks and languages with our local server option (lume serve). We have also an interface for python today: https://github.com/trycua/pylume - Going forward, we'd like to focus more on creating tools around developers, creating tools for automation and extending the available images in our ghcr registry. Stay tuned for more updates next week! - Lastly, lume is licensed under MIT, so you’re free to use it for commercial purposes. Tart, on the other hand, currently uses a Fair Source license.

e` exposes a local HTTP API server that listens on `http://localhost:3000/lume`, enabling automated management of VMs. lume serve For detailed API documentation, please refer to API Reference(https://github.com/trycua/lume/blob/main/docs/API-Reference....). HN devs - would love raw feedback on the API design and whether this solves your Apple Silicon VM pain points. What would make you replace UTM/Multipass/Docker Desktop with this? Repo: https://github.com/trycua/lume Python SDK: github.com/trycua/pylume Discord for direct feedback: https://discord.gg/8p56E2KJ