Energy-Languages
FrameworkBenchmarks
Energy-Languages | FrameworkBenchmarks | |
---|---|---|
37 | 366 | |
668 | 7,384 | |
0.4% | 0.4% | |
0.0 | 9.8 | |
7 months ago | 6 days 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.
Energy-Languages
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C Is the Greenest Programming Language
Looking at the benchmark where C++ is worst compared to other languages, it's depending on the library used. I would guess if they used Google's re2 Regex library instead of Boost's, the result would be different.
https://github.com/google/re2
https://github.com/greensoftwarelab/Energy-Languages/blob/ma...
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General Availability of the AWS SDK for Rust
Trawling through the wayback machine, I did find that the older pages link to https://github.com/greensoftwarelab/Energy-Languages, which does seem to provide the contents of the specific programs used and the benchmarking software. Excellent.
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Java consumes 38x less energy than Python
> … not … primarily an issue with means vs medians
We're comparing averages, why would we bother so much about the cause of an outlier.
> you linked directly to the C++ code for spectral-norm
You had linked to the wrong C and C++ code for spectral-norm, I linked to the code that was actually used.
> The time ratio of the Benchmarks Game fastest C version to the slowest C++ version is over 16x.
Again, you seem to be looking at the wrong repo.
The authors of "Energy Efficiency across Programming Languages, SLE’17" provided this repo —
https://sites.google.com/view/energy-efficiency-languages
https://github.com/greensoftwarelab/Energy-Languages
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Racket: The Lisp for the Modern Day
https://github.com/greensoftwarelab/Energy-Languages/issues/...
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Is your language eco friendly?
The paper authors provided a repo for the source code they used: https://github.com/greensoftwarelab/Energy-Languages
- Reasons you prefer Golang over Java?
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I don't hate it. But I can't deny it.
The study made their own measurements. They did not re-use measurements made by the benchmarks game.
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Energy Efficiency across Programming Languages [pdf]
One of the JavaScript programs at least was concurrent, whereas the TypeScript equivalent was synchronous. No wonder there's a difference...
Haven't looked closely at the other problems, but it's apparent to me that the solutions are not even trying to be similar, so comparing their efficiency is near useless.
the problem in question was the k-nucleotide one, IIRC:
https://github.com/greensoftwarelab/Energy-Languages/blob/13...
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How to install libraries into a common directory so that they can be targeted by an -L flag to rustc?
I've been trying to replicate a study on energy usage (alright, it's that study on energy usage) and I've hit a bit of a snag while trying to compile the Rust components of the project. Instead of using a Cargo.toml and building with cargo, the authors have decided to use a Makefile and manually pass flags into rustc.
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Greenest programming languages: a reason to support JavaScript over TypeScript
Here is an issue from the repo with the code they used: https://github.com/greensoftwarelab/Energy-Languages/issues/34
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?
SGDK - SGDK - A free and open development kit for the Sega Mega Drive
zio-http - A next-generation Scala framework for building scalable, correct, and efficient HTTP clients and servers
gdnative - Rust bindings for Godot 3
drogon - Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows [Moved to: https://github.com/drogonframework/drogon]
racket-binfmt - A binary format parser generator DSL with support for limited context-sensitivity.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Programming - This repo contains my Projects and practice code of various languages which I have learned during my Graduation in Computer engineering.
LiteNetLib - Lite reliable UDP library for Mono and .NET
OTA_update_STM32_using_ESP32 - Program STM32Fxx MCUs Over-the-Air using ESP32
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.
rust - Rust for the xtensa architecture. Built in targets for the ESP32 and ESP8266
SQLBoiler - Generate a Go ORM tailored to your database schema.