xhyve
Medo
xhyve | Medo | |
---|---|---|
10 | 12 | |
6,422 | 142 | |
0.1% | - | |
0.0 | 4.5 | |
over 2 years ago | 9 months ago | |
C | C++ | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
xhyve
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How to connect to a docker container service when it's running on a mac?
This is due to the way Windows and OSX implement docker. They both use a VM running Linux; Windows uses Hyper-V and OSX uses Bhyve. (https://github.com/machyve/xhyve)
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Asymptotic Notation !
Nowadays, docker uses runc, that is OCI compliant. Docker on macOS uses Hypervisor.framework through xhyve, and is completely macOS native. No VM is used (even under the hood) when running docker on macOS, it's native.
- Does xhyve on MacOS (Monterey) supports the passthru of the GPU ?
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Favourite Hypervisor for a macOS Host?
I was happiest with xhyve https://github.com/machyve/xhyve
Serial console in terminal was nice (for me!), network configuration was trash (I think I was able to set the subnet by fiddling around with system plists? and it would revert from time to time), and I didn't have to deal with Virtualbox. I've been away from macs for a while, I don't know if xhyve works on the M1, but it might. I ran a FreeBSD vm so I could run my server code on my laptop in an environment that was like production but slower.
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QEMU 6.2
The xhyve fork/port of bhyve for MacOS is worth mentioning: https://github.com/machyve/xhyve
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[Desktop] Mac mini – Apple M1 Chip 8-core CPU, 8-core GPU – 8GB Memory – 256GB SSD - $569.99 ($669.99-$100)
Docker for Mac actually spins up TinyCoreLinux VMs using xhyve that your docker containers run on top of. This is because containers borrow the host kernel, so you can't natively run Linux containers on Mac. Xhyve spawns VMs so a Linux kernel will be present.
- Can you run “bare metal” VMs on a 2019 MBP? (Pre M1 Chip)
- Linux, macOS, and Windows running simultaneously on a first gen Core i5
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Apple M1 CPU Microarchitectures (Firestorm and Icestorm): instruction tables describing throughput, latency, and uops
There's also been a port of FreeBSD's bhyve to macOS for years: https://github.com/machyve/xhyve (which, in turn, is [or at one point was] used by Docker to virtualize Linux)
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What Is Your Hypervisor
I've used xyhve on my Mac to have a FreeBSD VM running a copy of https://www.freshports.org/, including a copy of the database, which runs about 200GB. For dev work, it was fine. I used it when I didn't have [great] internet connectivity, for example, when on the train/plane. When upgrading packages or just doing dev work, it was great.
Medo
- Peredvizhnikov Engine is a fully lock-free game engine written in C++20
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De-Bloated Windows 11 Build Runs on 2GB of RAM
To me the most impressive recent example is a video editor developed for Haiku OS [0]. It fits on a 1.44MB floppy disk.
[0] https://github.com/smallstepforman/Medo
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LosslessCut: The Swiss Army Knife of Lossless Video/Audio Editing
> does anybody know of an editor capable of cutting between inter frames?
https://github.com/smallstepforman/Medo
- A C++17 thread pool for high-performance scientific computing
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Ask HN: How were video games from the 90s so efficient?
I’ve created a 4k UHD video editor for Haiku OS (https://github.com/smallstepforman/Medo), it’s a C++17 native app, with over 30 OpenGL GLSL effect plugins and addons, multi threaded Actor model, over 10 user languages, and the entire package file fits on a 1.44Mb floppy disk with space to spare. If I was really concerned about space, I could probably replace all .png resources with WebP and save another 200kb.
How is it so small? No external dependancies (uses stock Haiku packages), uses the standard C++ system API, and written by a developer that learned their trade on restrained systems from the 80’s. Look at the old Amiga stuff from that era.
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HaikuOS running on real RISC-V hardware
At its core, Linux offers variety, while Haiku strives to be a unified system. There is only one official UI, one sound API, one filesystem, one preference system, etc. making Haiku easier to administer. The system kits are designed to work together.
For instance, I created a from scratch video editor for Haiku which does 4K UHD videos with OpenGL based plugins, with over 30 effects, and 10 languages. The installer package with no dependancies is 1.3Mb (fits on a floppy disk). https://github.com/smallstepforman/Medo Under Linux, I would require many more dependancies since I have so no guarantee what libraries or API the users have installed.
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What GUI Library do you use?
My favourite - BeOS/Haiku Interface Kit (Link to my project with screenshot https://github.com/smallstepforman/Medo).
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How to Use CMake Without the Agonizing Pain - Part 1
You can always use both ... example from my project: https://github.com/smallstepforman/Medo
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Linux, macOS, and Windows running simultaneously on a first gen Core i5
Wait until you try Haiku on the same hardware. I’ve got a 4K video editor with no HW acceleration yet is smoother to edit videos than both OSX and Win10.
https://github.com/smallstepforman/Medo/raw/main/Docs/Medo.j...
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Announcement: Haiku Media Editor - R1.0.0, Beta 1
https://github.com/smallstepforman/Medo It is for a opensource Media Operating System called Haiku Os, and it is less than 1.44 Mb open source very lightweight:
What are some alternatives?
OSX-KVM - Run macOS on QEMU/KVM. With OpenCore + Monterey + Ventura + Sonoma support now! Only commercial (paid) support is available now to avoid spammy issues. No Mac system is required.
cmake-init - The missing CMake project initializer
QEMU - Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.
thread-pool - BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
lima - Linux virtual machines, with a focus on running containers
VoxelSpace - Terrain rendering algorithm in less than 20 lines of code
xnu-qemu-arm64
macOS-Simple-KVM - Tools to set up a quick macOS VM in QEMU, accelerated by KVM.
cmake-init-vcpkg-example - cmake-init generated executable project with vcpkg integration
vm_configs - libvirt configs for fresh VMs