Medo
FrameworkBenchmarks
Medo | FrameworkBenchmarks | |
---|---|---|
12 | 366 | |
143 | 7,398 | |
- | 0.6% | |
4.5 | 9.8 | |
9 months ago | about 20 hours ago | |
C++ | Java | |
MIT License | GNU General Public License v3.0 or later |
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.
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:
FrameworkBenchmarks
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Why choose async/await over threads?
Neat. Thanks for sharing!
Interestingly, may-minihttp is faring very well in the TechEmpower benchmark [1], for whatever those benchmarks are worth. The code is also surprisingly straightforward [2].
[1] https://www.techempower.com/benchmarks/
[2] https://github.com/TechEmpower/FrameworkBenchmarks/blob/mast...
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Ntex: Powerful, pragmatic, fast framework for composable networking services
ntex was formed after a schism in actix-web and Rust safety/unsafety, with ntex allowing more unsafe code for better performance.
ntex is at the top of the TechEmpower benchmarks, although those benchmarks are not apples-to-apples since each uses its own tricks: https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...
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A decent VS Code and Ruby on Rails setup
Ruby is slow. Very slow. How much you may ask? https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s... fastest Ruby entry is at 272th place. Sure, top entries tend to have questionable benchmark-golfing implementations, but it gives you a good primer on the overhead imposed by Ruby.
It is also not early 00s anymore, when you pick an interpreted language, you are not getting "better productivity and tooling". In fact, most interpreted languages lag behind other major languages significantly in the form of JS/TS, Python and Ruby suffering from different woes when it comes to package management and publishing. I would say only TS/JS manages to stand apart with being tolerable, and Python sometimes too by a virtue of its popularity and the amount of information out there whenever you need to troubleshoot.
If you liked Go but felt it being a too verbose to your liking, give .NET a try. I am advocating for it here on HN mostly for fun but it is, in fact, highly underappreciated, considered unsexy and boring while it's anything but after a complete change of trajectory in the last 3-5 years. It is actually the* stack people secretly want but simply don't know about because it is bundled together with Java in the public perception.
*productive CLI tooling, high performance, works well in a really wide range of workloads from low to high level, by far the best ORM across all languages and back-end framework that is easier to work with than Node.JS while consuming 0.1x resources
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The Erlang Ecosystem [video]
Although that seems to have improved in recent years.
https://www.techempower.com/benchmarks/#hw=ph&test=json§...
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Ruby 3.3
RoR and whatever C++ based web backend there is count as a valid comparison in my book. But comparing the languages itself is maybe a bit off.
On a side note, you can actually compare their performance here if you’re really curious. But take it with a grain of salt since these are synthetic benchmarks.
https://www.techempower.com/benchmarks
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API: Go, .NET, Rust
Most benchmarks you'll find essentially have someone's thumb on the scale (intentionally or unintentionally). Most people won't know the different languages well enough to create comparable implementations and if you let different people create the implementations, cheating happens. The TechEmpower benchmarks aren't bad, but many implementations put their thumb on the scale (https://www.techempower.com/benchmarks). For example, a lot of the Go implementations avoid the GC by pre-allocating/reusing structs or allocate arrays knowing how big they need to be in advance (despite that being against the rules). At some point, it becomes "how many features have you turned off." Some Go http routers (like fasthttp and those built off it like Atreugo and Fiber) aren't actually correct and a lot of people in the Go community discourage their use, but they certainly top the benchmarks. Gin and Echo are usually the ones that are well-respected in the Go community.
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Rage: Fast web framework compatible with Rails
There is certainly a lot of speculation in Techempower benchmarks and top entries can utilize questionable techniques like simply writing a byte array literal to output stream instead of constructing a response, or (in the past) DB query coalescing to work around inherent limitations of the DB in case of Fortunes or DB quries.
And yet, the fastest Ruby entry is at 274th place while Rails is at 427th.
https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...
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Node.js – v20.8.1
oh what machine? with how many workers? doing what?
search for "node" on this page: https://www.techempower.com/benchmarks/#section=data-r21
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Strong typing, a hill I'm willing to die on
JustJS would like a word https://www.techempower.com/benchmarks/#section=data-r20&tes...
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Rust vs Go: A Hands-On Comparison
In terms of RPS, this web service is more-or-less the fortunes benchmark in the techempower benchmarks, once the data hits the cache: https://www.techempower.com/benchmarks/#section=data-r21
Or, at least, they would be after applying optimizations to them.
In short, both of these would serve more rps than you will likely ever need on even the lowest end virtual machines. The underlying API provider will probably cut you off from querying them before you run out of RPS.
What are some alternatives?
xhyve - xhyve, a lightweight OS X virtualization solution
zio-http - A next-generation Scala framework for building scalable, correct, and efficient HTTP clients and servers
cmake-init - The missing CMake project initializer
drogon - Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows [Moved to: https://github.com/drogonframework/drogon]
thread-pool - BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
VoxelSpace - Terrain rendering algorithm in less than 20 lines of code
LiteNetLib - Lite reliable UDP library for Mono and .NET
macOS-Simple-KVM - Tools to set up a quick macOS VM in QEMU, accelerated by KVM.
C++ REST SDK - The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.
cmake-init-vcpkg-example - cmake-init generated executable project with vcpkg integration
SQLBoiler - Generate a Go ORM tailored to your database schema.