Micronaut
FrameworkBenchmarks
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Micronaut | FrameworkBenchmarks | |
---|---|---|
50 | 366 | |
5,950 | 7,384 | |
0.5% | 1.2% | |
9.9 | 9.8 | |
5 days ago | about 20 hours ago | |
Java | Java | |
Apache License 2.0 | 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.
Micronaut
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Javalin – a simple web framework for Java and Kotlin
Micronaut has a share of the space too.
https://micronaut.io/
However, you’re right that Spring Boot has the lions share of the Java ecosystem.
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Spark – A web micro framework for Java and Kotlin
I've used vert.x in a big project once. I don't ever want to do that again. Performance is pretty good, but the developer experience is beyond clunky.
My current favourite Java server framework is Micronaut.
Great performance and easy to develop for!
https://micronaut.io/
- Java 21 Released
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Java consumes 38x less energy than Python
I wonder how much you'd save with Micronaut: https://micronaut.io/
> Micronaut is a software framework for the Java virtual machine platform. It is designed to avoid reflection, thus reducing memory consumption and improving start times. Features which would typically be implemented at run-time are instead pre-computed at compile time.
https://en.wikipedia.org/wiki/Micronaut_(framework)
I don't think you'd go down to 9, but something like 20-30 could be doable.
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mlfx FXML compiler
I'd like to introduce my project. It is called mlfx. It can compile FXML ahead of time. It is basically an annotation processor, which internally uses Micronaut framework's AST abstraction and compiles fxml files directly to JVM bytecode. This decreases UI load time and also helps with native-image reflection configs. It also has some compliance tests that load compiled code and check resulting object graph against one loaded by javafx-xml. It also has some drawbacks now, but, please, read README. Now I'm successfully using it in two production projects.
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What other programming languages/frameworks do you enjoy besides c#/dotnet?
https://micronaut.io/ https://quarkus.io/
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Virtual Threads Arrive in JDK 21, Ushering a New Era of Concurrency
when it comes to full stack frameworks, Micronaut(https://micronaut.io/) is actually good and pleasant to work with.
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Tech-stack for web application using Kotlin?
For the server Quarkus and Micronaut might be interesting besides Spring Boot. Quarkus is more popular and backed by RedHat (so probably here to stay).
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Top 5 Server-Side Frameworks for Kotlin in 2022: Micronaut
🥇 Spring Boot 🥈 Quarkus 🥉 Micronaut 🏅 Ktor 🏅 http4k
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Would love some guidance in how to get started with building web projects with Java.
Spring boot is still The King. Although I've not done more than hello world with Micronaut, it might have easier learning curve than Spring (and concepts are similar to Spring so you can carry over later to learn Spring). It could also be a useful skill in world of microservices these days.
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?
Quarkus - Quarkus: Supersonic Subatomic Java.
zio-http - A next-generation Scala framework for building scalable, correct, and efficient HTTP clients and servers
spring-native - Spring Native is now superseded by Spring Boot 3 official native support
drogon - Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows [Moved to: https://github.com/drogonframework/drogon]
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Flowable (V6) - A compact and highly efficient workflow and Business Process Management (BPM) platform for developers, system admins and business users.
LiteNetLib - Lite reliable UDP library for Mono and .NET
Nacos - an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications.
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.
JaCoCo - :microscope: Java Code Coverage Library
SQLBoiler - Generate a Go ORM tailored to your database schema.