Vert.x
FrameworkBenchmarks
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Vert.x | FrameworkBenchmarks | |
---|---|---|
46 | 366 | |
14,018 | 7,342 | |
0.5% | 1.3% | |
9.6 | 9.8 | |
about 14 hours ago | 6 days ago | |
Java | Java | |
GNU General Public License v3.0 or later | 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.
Vert.x
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Spark – A web micro framework for Java and Kotlin
https://vertx.io/
It's actively maintained with full time developers, performant, supports Kotlin out of the box, and has more features?
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Reactive database access on the JVM
Hibernate Reactive integrates with Vert.x, but an extension allows to bridge to Project Reactor if wanted
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What's the state of server-side frameworks with Kotlin support today for small teams?
Explicitly so:
Personally, I like vertx, it is modular and you can pick and choose what you need. It also has support for kotlin coroutines, https://vertx.io/, https://github.com/vert-x3/vertx-examples/tree/4.x/kotlin-examples
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Anything close beam/otp for other languages?
I really like Eclipse Vert.x... As both an Erlang dev and Java dev, it's a great synergy and soon to have support for Virtual Threads similar to BEAM.
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Go doesn’t do any magical stuff and I love that
There are many lean, popular, non-magical libraries in Java land. (https://quarkus.io/, https://vertx.io/, etc). Spring is a monster 😱. Its like comparing Kubernetes (written in Go) with some lean framework in another lang.
- PFA vs SRL
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Favorite hidden gem library?
Eclipse Vert.x - Add amazing Async to any Java stack
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Codeberg a GitHub Alternative from Europe
Vert.X example: https://github.com/eclipse-vertx/vert.x/blob/master/src/main/java/examples/EventBusExamples.java#L106 (couldn't even find docs)
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Quarkus fundamentals
In fact, it builds on top of proven standards such as Eclipse MicroProfile or frameworks such as Vert.x or JAX‑RS.
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...
What are some alternatives?
Akka - Build highly concurrent, distributed, and resilient message-driven applications on the JVM
javalin - A simple and modern Java and Kotlin web framework [Moved to: https://github.com/javalin/javalin]
Quarkus - Quarkus: Supersonic Subatomic Java.
Micronaut - Micronaut Application Framework
RxJava - RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.
helidon - Java libraries for writing microservices
Lagom - Reactive Microservices for the JVM
ZIO - ZIO — A type-safe, composable library for async and concurrent programming in Scala
zio-http - A next-generation Scala framework for building scalable, correct, and efficient HTTP clients and servers
Zuul - Zuul is a gateway service that provides dynamic routing, monitoring, resiliency, security, and more.
Jooby - The modular web framework for Java and Kotlin
Ehcache - Ehcache 3.x line