FrameworkBenchmarks
Jooby
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FrameworkBenchmarks | Jooby | |
---|---|---|
366 | 13 | |
7,373 | 1,658 | |
1.0% | 1.0% | |
9.8 | 9.7 | |
5 days ago | 1 day ago | |
Java | Java | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
FrameworkBenchmarks
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Why choose async/await over threads?
Eh. Async and to a lesser extent green threads are the only solutions to slowloris HTTP attacks. I suppose your other option is to use a thread pool in your server - but then you need to but hide your web server behind nginx to keep it safe. (And it is safe because uses async IO).
Async is also usually wildly faster for networked services than blocking IO + thread pools. Look at some of the winners of the techempower benchmarks. All of the top results use some form of non blocking IO. (Though a few honourable mentions use go - with presumably a green thread per request):
https://www.techempower.com/benchmarks/
I’ve also never seen Python or Ruby get anywhere near the performance of nodejs (or C#) as a web server. A lot of the difference is probably how well tuned v8 and .net are, but I’m sure the async-everywhere nature of javascript makes a huge difference.
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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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.
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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
TechEmpower has a few different classes of benchmark. https://www.techempower.com/benchmarks/
Off the top of my head:
- json serialization
- fetching random objects from an actual mysql/psql database
- cached queries
- performing mutations / data updates
writing "hello world" as a response is naturally going to do 75k per second
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...
Jooby
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Javalin – a simple web framework for Java and Kotlin
One of the good things about it is that using asynchrony is optional. If you don't have to call out anywhere to build the response, processing can all stay in the handler's calling thread. If you do, you can return a future and have the library handle the async for you.
One downside is that it is based on Jetty which isn't considered the most performant backend. A lib with a similar API but based on Netty is Jooby [1] which scores well in the Techempower benchmarks.
[1] - https://jooby.io/
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Is the Spring framework too heavy and over-designed?
Jooby and Helidon SE are among the best.
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RIFE2 web framework under development
The code snippet gave me a vibe like it was jooby Looks cool, I suggest maybe start incorporating Project Loom virtual threads in the future.
- Java modern frameworks choice
- Latest version of Microhttp, an event-driven, zero-dependency, pure-Java web server with 500 LOC, capable of 1,000,000+ requests per second on commodity EC2 hardware.
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The Flask Mega-Tutorial
Speaking of backend development, recently I gave Jooby[1] a try after discovering it was one of the world's top performer in Tech Empower's web framework benchmark[2].
Surprisingly enough, it's terribly easy to put together a REST API with Jooby. I wonder why it's adoption rate is so low.
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What is the current state of the art for efficiently handling blocking requests in Java/Spring?
Do you need to use Spring btw? If you want to broaden the tool selection I've had great success with i.e Jooby (https://jooby.io/) together with Kotlin coroutines. Another alternative is the KTOR framework.
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Java Equivalent of Express.js for REST
Jooby I think is the best bet. https://jooby.io/ watch out for jooby dot org I think someone sniped the domain.
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There is no magic in Spring, I wrote my own (very simplified) framework from scratch to show it
Personally I find it extremely difficult to read and use code that uses ASM directly vs ByteBuddy or some wrapper library. For example take a peak at this: https://github.com/jooby-project/jooby/blob/2.x/modules/jooby-apt/src/main/java/io/jooby/internal/apt/HandlerCompiler.java
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What would you use to start a new HTTP + SSR project with Java today?
[4] https://jooby.io/
What are some alternatives?
Spring Boot - Spring Boot
javalin - A simple and modern Java and Kotlin web framework [Moved to: https://github.com/javalin/javalin]
ktor - Framework for quickly creating connected applications in Kotlin with minimal effort
zio-http - A next-generation Scala framework for building scalable, correct, and efficient HTTP clients and servers
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
drogon - Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows [Moved to: https://github.com/drogonframework/drogon]
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
LiteNetLib - Lite reliable UDP library for Mono and .NET
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.
Spring - Spring Framework
Quarkus - Quarkus: Supersonic Subatomic Java.
SQLBoiler - Generate a Go ORM tailored to your database schema.