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Java libraries you can't miss in 2017 (jevsejev.io)
237 points by sergejjevsejev on Feb 19, 2017 | hide | past | web | favorite | 101 comments



The slides which inspired this listing include Guava -- omitted from this list -- an invaluable utility toolbelt that I think is a spiritual re-imagining of Apache Commons (... don't read too much into my phrasing, a lot of Apache Commons also quite good, even if API tastes have changed since then).

I'll also note that Dropwizard, the framework, came about as an quickstart around an opinionated bundling of quality libraries. Dropwizard's appearance has resulted [1] in the development of Spring Boot, which lowered the barrier to generating Spring applications, arguably finally delivering on the 'convention over configuration' promise that Spring has long suggested it could do, but never quite found the sweet spot.

[1] https://news.ycombinator.com/item?id=12283230#12286948


Guava is a notable absence to me. We use it all day every day at work.

Speaking of frameworks that Google uses, I'd have to recommend Dagger over Guice: https://google.github.io/dagger/ People tend to like it more, and it's gaining traction for the kinds of things that people used to default to Guice for.

Oh, and the JODA DateTime/Money libraries.


There's no need for Joda for datetime with Java 8 as it has sane (immutable!) classes inspired by Joda.

And as all prior versions of Java are EOL there's no reason not to be using Java 8.


Java 8 isn't supported quite yet on App Engine :-( Support is in beta, and should hopefully be available "for real" within months, but until it is, we're stuck with the old stuff.

I also wonder what kind of data migration we'll be facing, since all of our persisted data is from Joda DateTimes, not Java 8 ones. Hopefully none.


Check out the ThreeTen backport for a mostly API-compatible Java 6/7 version of the Java 8 date API: http://www.threeten.org/threetenbp/


If your datetime is persisted ISO 8601 form, RFC 3339 form, some other unambiguously parseable string form, in epoch form, or as some database-native reliable datetime type, you'll be fine. But if by any chance it's Java-serialized Joda-Time objects, you're going to want to get them out of that form, as the Java-serialized forms are not compatible.


If you're data is persisted in Java-serialized form you should be fired.

That's not just for just dates or timestamps either. That's for data period.


I've horrible memories of WordPress and their obsession with storing PHP serialised objects in the database.

It makes a whole lot of things that ought to be simple a lot harder.


It was saving different blog data on different tables prefixed by index numbers. It's a mess.


Looks like our native representation in Datastore is java.util.Date, so we should be in the clear. Relevant code here: https://github.com/google/nomulus/blob/master/java/google/re...


FYI: Java 9 is scheduled for release in July.

http://openjdk.java.net/projects/jdk9/


> there's no reason not to be using Java 8.

I wish. When life (or rather a vendor) gives you java 6 libs which barely work on java 7, you make java7 lemonade.


What kind of crappy library doesn't work on a newer version of Java?

The only thing I can see breaking would be reflection based invocations of new methods on existing interfaces (ex: Foo has a .bar() in Java 7 but not Java 6). You'd have to be doing something pretty unusual for that to bite you.


> What kind of crappy library doesn't work on a newer version of Java?

Oracle middleware libraries (to be fair, mostly acquired)...

I believe the problem was that in Java 8, something related to StringBuilder or string parsing was breaking hard. With Java7 it was ok, so we went with that.


Ah that's not a compatibility issues so much as a change in performance. I think they changed the defaults for String interning. In the vast majority of cases it's be a performance improvement but if you were manually managing lots of small Strings (ex: custom file processor reading misc user input) then it could get out of control.


So I noticed Guava missing and some other's have cited Joda and I think the real reason is that in 2017 between JSR310 and Java 8 the need for Joda doesn't exist in modern Java dev and a lot of the Guava functionality has been added into Java 8. Not all of it, but the biggest and most useful parts.


Some, but not most, of Guava functionality has been added to the standard libraries in Java 8. We'll still be extensively using it even after switching over to Java 8 specific features for Optional, Function, Date, and all the other goodies.


Guava is yet to be green listed in any of the Java projects I worked thus far.


Its so incredibly refreshing when technologies are positioned by saying what they don't do.

When we describe our cool stuff to the world, its natural to go on and on about all the cool stuff it can do. But I'm more inclined to trust technologies that state clearly what they can't or don't do, or are not intended for.

I don't know if there is a name for this effect, but having only nodded at SL4J from a distance, I feel much happier about using it (or choosing not to) after reading this:

> In short, libraries and other embedded components should consider SLF4J for their logging needs because libraries cannot afford to impose their choice of logging framework on the end-user. On the other hand, it does not necessarily make sense for stand-alone applications to use SLF4J. Stand-alone applications can invoke the logging framework of their choice directly.


SLF4J is quality software, but it's quite ironic that it needs to exist at all, considering how much of both the Java mentality and the commercially significant Java EE platform is about coding against a well-defined interface that defines basic contract and semantics and allows the developer/customer/etc to supply their favorite and most-appropriate implementation of choice.

In the case of SLF4J, it was the community (or rather, Ceki Gülcü, the author of now-several logging frameworks, in response to his dissatisfaction with the community-led Apache Commons Logging) who stepped in to provide the 'generic' API, while Sun went and developed an actual 'hardcoded' implementation deliberately different from the popular third-party logging frameworks of the time instead and shipped it with Java 1.4.


As someone who has to use Guice at work, and not by choice, the following critique best sums up my thoughts on Guice.

http://omaritech.blogspot.com/2014/03/why-google-guice-is-ev...

Am I in the minority here? Do most people really think that the Guice framework approach is a good idea?


The linked post is framed as a criticism of Guice but it's actually a criticism of Dependency Injection.

DI is one of those architectural tradeoffs that makes one thing easier (swapping out an alternate implementation) while making another thing harder (following execution paths), and trades imperative, prescriptive, top-down style with declarative, "loosely coupled", componentized, bottom-up style made possible by an overarching helper and externalized decision points that kinda-sorta act like configuration.


It's really just a criticism of dependency injection /frameworks/.

Manually wiring dependencies by calling constructors is still dependency injection. This also has the upside that the compiler will check you have satisfied all dependencies, and you can more easily trace execution.

Frameworks like Guice/Spring are often used to hide lots of wiring boilerplate but come at a price of losing typesafety, adding more magic, and hiding some code smells. If your wiring is getting complex perhaps you need more modularity.


Your criticisms seem to only apply to runtime dependency injection frameworks. That's why I like Dagger, and recommended it elsewhere in this thread; it's compile-time dependency injection. So you do get type safety, the compiler does check that you have satisfied all dependencies, etc. Check it out if you haven't used it before.


You're right, most of the downsides are specific to runtime wiring. I haven't used dagger. It does compile time magic doesn't it?


Yes. If you do something wrong in your wire-up then the code won't even compile. Definitely look into it. Like you, I have a healthy distrust of DI frameworks because of the many errors that get pushed to runtime, but Dagger's not bad.


(Disclosure: I work on Dagger in my 20% at Google.)

What's more, Dagger gives you (compile-time) insights into the graph of dependencies.

For example, we've hooked up our internal code-search tool to give you Dagger cross-references, so if you (e.g.) click on a parameter to an @Inject constructor, you'll see the place that provides that object.

Also, if you click on the @Component, you'll see a visualization of the entire graph.

We're working on surfacing these hooks in the open source repo, which would allow IDEs like Eclipse to gain this functionality as well.


In my experience "swapping out an alternate implementation" happens so rarely that it isn't really worth the additional architectural complexity and making debugging harder.

Seems to me like DI (at least the heavy-handed Spring XML style of it) is a solution looking for a problem, but I've only worked at one company that used it heavily so I'd be happy for people to try to change my view.


"Swapping out an alternate implementation" sometimes means you shipped a bunch of components and the customer (who is not you, and doesn't necessarily have a direct line to you) can configure their software to enable or disable features.

By having externalized some of the tight coupling into some config file (like Spring's XMLs), they can go in and say that the AuthorizationFilter is OAuth20Filter instead of OAuth10Filter, or maybe their CookieParser is StrictRFCCompiantCookieParser instead of the WhateverGoesCookieParser.

The same would be doable if you compiled all this into code and only exposed some different config parameter that says "enforceRFC6265Cookies=true/false", but then the customer couldn't use some consultant company's SuperSpecialCustomCookieParser class in its stead, whereas with Spring they can.

But say none of this applies; DI is often used in testing. You can inject a mock class with next-to-no effort without having to figure out what to do about all of those StorageManagers whose hardcoded dependency is your ActuallyRealDatabaseStorageManagerImpl.


> In my experience "swapping out an alternate implementation" happens so rarely that it isn't really worth the additional architectural complexity and making debugging harder.

It happens all the time if you test your code with mocks and stubs.


You aren't. 'lightweight' and 'dependency injection' reads like an oxymoron to me. The whole 'implicit dependency injection' seems as terrible an idea as getting an injection sounds. But it's out there so it's always interesting to hear more about it one way or the other.


The issue I have with DI frameworks is the annotation scanner scanning all jars in the classloader and annotation magic.

It seems that vanilla Guice does not need to fire up an annotation scanner that hits every jar, so that's good. It's been years for me, but I seem to recall Spring Framework does a brutal amount of jar crawling/annotation scanning by default. Unfortunately, it's very easy to corrupt Guice with annotation scanning - Netflix Governator will introduce a scanner for its magic annotations, for example.

As far as annotation magic is concerned, I think having an agreed-upon convention for DI can really help to keep things manageable and easy while still being able to unit test/inject mocks. For example, my team tries to only inject on constructor args. This makes it a no-nonsense affair to factor out features for a unit under test by passing in mocks for injected dependencies.

Testing complex systems, for me, is the killer app for DI - if I am writing something I need to test, I abhor the new keyword and FactoryFactories in my production code.


I don't know your codebase, but I'm going to propose that your (and that blogger's) projects could be even messier without Guice. As the blogger points out, the "simple alternative to DI" is:

     BillingService billingService = new BillingService(new BillingModule());
...which looks fine with just a couple layers of depth but becomes pathological with hundreds of objects, especially when they have different lifecycles. At some point the extra transparency you get from manual injection is overwhelmed by the sheer quantity of boilerplate.

To compensate, DI-less solutions end up with service discovery or "bag" classes like DropWizard's io.dropwizard.setup.Environment. Aside from the loss of encapsulation, what if you want to extend the framework with new components? You end up exposing services by setting attributes with text keys...

Having a messy Guice-based project doesn't mean it would be pretty without Guice.


Worth checking out are Java libraries made by Real Logic guys:

https://github.com/real-logic

Aeron - Efficient reliable UDP unicast, UDP multicast, and IPC message transport

Simple Binary Encoding (SBE) - High Performance Message Codec

Agrona - High Performance data structures and utility methods for Java


We use all 3 for network communications.

Here is an aeron microbenchmark: https://github.com/benalexau/rpc-bench

Of note is akka uses it for its internal remoting: http://blog.akka.io/artery/2016/12/05/aeron-in-artery

We will be using it for RPC and distributed deep learning: http://engineering.skymind.io/interview-with-adam-gibson-cre...


Those are great! Thanks!


JDeferred, a promises library, is what CompletableFuture does, a recent addition to Java's standard library in Java 8.

CompletableFuture is becoming supported in a bunch of other libraries: https://github.com/AsyncHttpClient/async-http-client/, https://github.com/ben-manes/caffeine , https://github.com/mp911de/lettuce .


To me Guava is still the most essential, general purpose Java library. Not just for its collection package but because of the caching stuff, graph API, and well written general purpose utilities.

But I would also mention Spring 5 which I assume will be released soon, even though many people probably consider it too heavy or opaque at this point. But their major adoption and push towards reactive programming is interesting. And it will be interesting to see if java programmers embrace it. I'm a little skeptical that it provides enough tangible value to justify a more complex mental model, but maybe I'm wrong.


I just recently had to use a bloom filter to speed up a caching issue. It was so easy to do with Guava that it took all the fun out of it.


Jooq is a really good type-safe library to talk to databases. I personally prefer jooq over hibernate.


The Jooq blog is pretty great as well. https://blog.jooq.org/


Yep. And it's lesser known side kick, JOOL https://github.com/jOOQ/jOOL

As a Scala developer, this is a life saver.


For something more lightweight: http://jdbi.org/


Not trying to be an asshole here, but can a Java evangelist try to convince me to use it over C++ on linux - without invoking the garbage collector. (I've +17 years experience in C++ & Python on Linux & Windows + 18 years C# experience on Windows). In my experience, Java has made a number of poor decisions in the language (i.e. requiring exception specifications, disallowing value types, and the generics implementation is shit). Why use it other than "cross platform?" Build times are crap, almost (but not quite) as bad as C++. Why use it? I'll admit I've zero experience using other JVM hosted languages, so part of why I differentiate the JVM versus Java, the language.


Java was inspired by C++, wth three large additions, compile-once run anywhere (ergo JIT), GC, and memory safety. Throw the first two out the window and no wonder you aren't impressed.

I would add to that open source libraries which are (1) of high quality and (2) easy to pull in, e.g. Maven. The C++ ecosystem has no package manager, and people write header only libraries blowing up compilation times. With Maven, I can add Guava, Ehcahe, AWS SDK, etc. and their transitive department in about 60 seconds in a simple, consistent way.


Yeah, Java was inspired by C++, and the designers decided to take the worst ideas and run with them: such as exception specifications. C++ & C# both realized they were a bad idea, and decided to do away with them. Java generics are also fucked up. They could have followed C#, but no, they had to do their own model, and they fucked it up.


I kind of get the impression you just want to bash the java language! :p

I think the whole eco-system (including dependency management with maven) is definitely worth acknowledging the value of.


Java generics hardly could have "followed" C#, seeing as Java released them in 2004, and C# in 2005.


Former 6+ year C++ programmer here who made the switch in the late 90s.

Fast build times. Removal of problematic/abused features like automatic type conversion and operator overloading. Never having to hunt down a segfault. Good reflection facilities. Well-structured exceptions (despite the 'checked' misfeature). Compiler error messages are almost always intelligible and obvious - when you see them, which is rare, because the IDE just underlines bad code. Add opensource libraries to do almost anything with just a line of xml.

You can work around checked exceptions by not using them, and Lombok eliminates most of the really annoying boilerplate (including checked exceptions with @SneakyThrows). The generics implementation isn't perfect but at least it doesn't require hours of parsing header files on every single build.

I don't miss C++ at all.


I work in finance, and I've cranked up warning levels to the max - I don't have any issues - except getting everyone on board. Once they realize why - it's smooth sailing. It can be hard when there is a language barrier, but you're best to combat it.


So, basically, you didn't actually want anyone to answer your original question, from what I can tell -- you just wanted to repeatedly affirm you were right-all-along?


Well, I do consulting in Java, .NET and C++.

Other than Android Studio and Gradle, Java build times are actually quite fast. Just yesterday I gave up on compiling Cocos2d-x, after around one hour.

In Java I get to use the full language, not fighting with others about enabling RTTI and exceptions, or making proper use of C++ best practices instead of "C with C++ compiler".

Also unless one is stuck with one OS and one C++ compiler, writing portable C++ code across multiple OSes and compilers is either #ifdefs everywhere or constraining ourselves to the subset of common features.

Right now most commercial compilers for embedded systems are still on C++98.

I recently saw presentations from BMW and Sony, where they mention moving into C++11. Who knows when they will allow C++14 on their codebase, maybe when C++20 gets released, most likely.

If the code needs to be AOT compiled to native code, many third party JDKs do offer support for it, although they are mostly commercial.

Also, the use of header files were already outdated in the 80's, versus what languages like Modula-2 and Object Pascal supported. We will need to wait for C++20 to have proper modules, hopefully.

And best of all, no UB or compiler specific semantics, or change of language semantics between ISO revisions (auto vs decltype).

I still look forward to see value types and the new FFI in Java 10.


you would use Java when you don't need explicit control of memory layout, and/or hard real time requirement. Java is much simpler to read and write, has many more libraries (which interoperate well together, unlike most C++ libs), and also many more developers to hire from. an all-around good choice.


Java is very good for enterprise development where the code has to be maintained. It's easier to read and contains less gotchas than C++. It is especially good when the team consists of people of varying coding competencies. Also nobody ever gets fired for choosing to develop using Java.


> Also nobody ever gets fired for choosing to develop using Java.

This is actually a negative. Java can be great if you have half-way decent people who make good choices with regards to libraries and frameworks and application servers and whatnot, but the choices that come from "nobody ever gets fired for" thinking are by far the worst ones.

Example: IBM WebSphere. "Nobody ever got fired for choosing IBM," but they absolutely should be if they choose this giant shitpile. Anyone who has chosen this shit should be thrown into a wood chipper, unless they specifically chose it waste the maximum amount of time possible. Or, if it was invented to set Soviet computing back 30 years like the IBM 360, except that joke doesn't work anymore because the Cold War ended before Java was even a thing.


> Java is very good for enterprise development where the code has to be maintained. I often hear this, but I've yet to see an example of "good" enterprise java. Instead, I oft see a pile of shit built on top of some java framework, claiming to be maintainable. C++ may not be the best choice for web development (probably wouldn't be my first choice), but Java hasn't proven great, either.


> C++ may not be the best choice for web development (probably wouldn't be my first choice), but Java hasn't proven great, either.

Really? I feel like Java and the JVM are great for developing web apps with complex requirements, especially if they need to scale. Very few decent web development choices perform as well as the JVM does.

I mean, part of the reason that "enterprises" have "shitty enterprise Java" is because "enterprises" will create "shitty enterprise anything," and the Java implementation often performs better than the alternatives.


John Carmack just retweeted a link to this article about common programming errors in C++ and how to avoid them:

https://software.intel.com/en-us/articles/the-ultimate-quest...

I estimate that 70% of those errors just cannot happen in Java.


I decided to be pedantic and check.

1 - Language agnostic

2 - Agnostic - Java doesn't have memcmp but the same issue returning (-1, or < 0) could happen

3 - Agnostic (with the exception that java would throw for out of bounds)

4 - Agnostic

5 - Agnostic - Its a windows complication (you can write C++ without DllMain even in windows)

6 - C++

7 - C++

8 - C++

9 - C++

10 - C++

11 - C++

12 - Agnostic

13 - Agnostic

14 - Agnostic

15 - C++

16 - Agnostic

17 - Agnostic (java has similar optimizations)

18 - Agnostic (inefficient code happens in any language)

19 - C++

20 - C++ (maybe java would throw instead?)

... This is longer than I thought.

9 of the first 20 are C++ only.


2. Language agnostic; Common in other languages, but some avoid it by using strongly typed enumeration instead of integer return type in comparison functions.

6. Languages with pointer arithmetic, especially that the cast that losses information is explicit.

8. It not at all obvious that silently ignoring the case failure is correct fix for this, or if there is any issue here at all. Generally common to languages with some kind of destructor and exceptions, though harmful in varying degrees.

11. Other languages generally make it impossible to write, or define order of operations.

I think the most interesting observation you can make is how much of those problems are caused by some form of implicit conversion between types (also stopped after 20):

  4. int -> bool
  9. char -> *char
  13. int -> bool
  14. bool -> size_t
  15. different enums
  16. bool -> int
This generally agrees with bug log that I keep. Implicit conversions being one of the most common source of problems in C/C++. When possible I just treat all implicit conversions as errors using compiler flags and make all casts explicit. Unfortunately this is something you can only do when working on new projects, and hard to enforce in templates.


> + 18 years C# experience on Windows

As far as I remember C# came out in 2000.


Officially, and you're really going to lampoon me because I was off by 1 year after 17?


Actually they just celebrated their 15th anniversary.

https://blogs.msdn.microsoft.com/dotnet/2017/02/13/happy-15t...


That kind of mistakes looks a lot like bragging. ;) But mistakes happen, I guess :).


It was an honest mistake. I first tried .Net 1.0 while I was an intern at a Fortune 500 Comnpany. I first used it for a software engineering project (back when webforms were preferred).


Java made me a better C++ dev.

When I went back to C++ from Java (for a while), I just pretended it was Java, restricting myself to a rough subset of Java design idioms.

C++ (circa 2000) had too much latitude, too many sharp edges. Java's constrained design vocabulary allows you to focus more on the problem, less on the implementation. I blazed. My code was super maintainable.

I have no idea what C++ is like today.

I eschew meta programming. Huge distraction. Very difficult to grok other people's code. Java's progressive incorporation of declarative, dynamic features is regrettable.


If possible, write tests in Groovy and use Spock Framework.

My production code is a mix of Java and Scala, and I found Groovy to hit sweet spot for testing.


Using the collections syntax and closures from Apache Groovy makes glue code, testing, and build scripts for the JVM easy to write, but the more recent features like those used in Spock are confusing. The Spock example in the post has the | operator overloaded so a function is called, a function name made up of 6 words separated by spaces (rather than using camelCase), and the label syntax triggering AST transformations to provide a new semantic context...

  class HelloSpockSpec extends spock.lang.Specification {
    def "length of Spock's and his friends' names"() {
      expect:
      name.size() == length

      where:
      name     | length
      "Spock"  | 5
      "Kirk"   | 4
      "Scotty" | 6
    }
  }
Wouldn't this be more straightforward and readable, without needing to rely on any of the confusing post-Strachan features added to Apache Groovy?...

  def HelloSpockSpec () { //length of Spock's and his friends' names
    def f = {name, length -> name.size() == length}
    assert f("Spock",  5)
    assert f("Kirk",   4)
    assert f("Scotty", 6)
  }


Should analytics tagging really be used when submitting urls to hn?

?utm_source=ycombinator


I have no problem with this. At least this style of analytics makes it clear to both the reader of the URL and a casual observer that their visit is going to be catalogued as such, and for a careful clicker, easy to bypass.

I find this much more palatable than, say, Medium's pseudorandom tracking hash fragments that are spawned on each link share (harder to grok and recognize, but easy to bypass), or indecipherable URLs where it's impossible to tell where the substantive, deterministic portion ends and the tracking garbage begins.


I have been using Google's AutoValue [1] instead of Project Lombok. It does not have as many features, but it makes creating model classes much easier.

[1] https://github.com/google/auto/tree/master/value


Have you considered Vert.x?

http://vertx.io/

Vert.x lets you do most of those stuff such as HTTP, futures, P2P, pub-sub and more. It's event-driven and made for concurrency but you can easily run blocking code in it if you want to. I think you can integrate it with existing projects to get those capabilities. It also has tools for testing. It's well documented and with great examples (https://github.com/vert-x3/vertx-examples) so it's easy to learn based on my experience.

Anyone here who also experienced using Vert.x?


In casual parlance of terminology, Vert.x isn't really a library in the sense a dependency you pull in because it implements some specific functionality with a handful of method calls.

Vert.x "feels" more like a framework in the sense of giving your thought process and your application an architectural template and invites you to code in a style that it supports; but I also don't think 'framework' is a bad word. Realistically, Vert.x blurs the lines between a runtime, an event bus, a library, a framework, and a platform -- it's quite enjoyable to use, but despite their insistence to the contrary I don't think it's something that one should grab off the shelf and sprinkle into a larger product.


That's a better explanation clarifying its distinction between being a framework and library. Yeah, substantial amount of consideration should be taken before including it in a project. It's good though to have an option when you need it.


Spark framework is pretty awesome, in a "all I know is Java but want to write a web application simply anyway" kind of way.

http://sparkjava.com


I've recently had to reacquaint with Java after 15 years, and Spark was a godsend. It's basically Flask for Java.

From an ease-of-use perspective, the closest I've found for the Java7 hell I currently inhabit is Ninja (http://www.ninjaframework.org), but it packs a lot of stuff that I don't necessarily need - it's more of a Django, let's say.


Lombok is something I've been working with for a long time and I can say it's the only library I enjoy pulling in because of just how much it has to offer. Everything and two kitchen sinks.


Don't forget Deeplearning4j! https://deeplearning4j.org/


I've been doing a lot of stuff with DL4J lately and I have to say, I'm pretty impressed. The API seems very sane, it's very flexible, but yet it's easy to get a basic network up and running. The documentation is pretty good and there are a lot of videos from Adam up on Youtube showing off aspects of it. And it has native support for running on Spark with iterative parameter averaging, etc.

I honestly wonder why DL4J doesn't get more love... I'm guessing it's just the halo effect of being associated with "Java" which is no longer cool with the hipster crowd.


Thanks for the kind words. Please let us know if there's anything we can improve. The community's active here:

https://gitter.im/deeplearning4j/deeplearning4j

Why doesn't DL4J get more love? It's partially a Java/Python thing. A lot of research, maybe most, is being done in Python, even if that isn't ideal when you scale on a cluster. So we built a couple ways to smooth the workflow between Python and the JVM:

Model Import from Keras (and TensorFlow and Theano) https://deeplearning4j.org/model-import-keras

Keras API for Deeplearning4j (WIP) https://github.com/crockpotveggies/dl4j-examples/tree/keras-...

DL4J is the only DL library built by a startup without the backing of a major tech company or university. Google's pouring many millions of dollars into TensorFlow marketing, Udacity, etc. Microsoft and Amazon are backing CNTK and MxNet respectively. All those libs are loss leaders to get companies onto a vendor's public cloud, where they'll charge for the DL workloads.


if you need to do high performance networking, netty is a must have.

http://netty.io/


Guava's `ListenableFuture` can be used as an alternative to `JDeferred`. See [1].

[1] https://github.com/google/guava/wiki/ListenableFutureExplain...


AssertJ (http://joel-costigliola.github.io/assertj/) deserves a mention. Great support for collections, guava, jodatime and IDE autocomplete friendly to boot


Guava's `EventBus` can be used as an alternative to `MBassador`. See [1].

[1] https://github.com/google/guava/wiki/EventBusExplained


does anybody know some http client libraries that have scalable, performant asynchronous support (including transparent handling of various issues, like too many requests pending etc.). A big plus would be if it would implement the CompletableFuture-interface (idk what it was called). Ideally with an easy, fluent api. I started with using unirest (http://unirest.io/java.html), but it behaved poorly under load (also no CompletableFuture-interface implementation).


Retrofit has support for RxJava, both of which are mentioned on the list. If Retrofit deserializes your JSON response payload as type T, then upon making a request it will return an Observable<T> that will either emit the result (if the request succeeds) or emit an Exception (if it fails).

Most Android applications that rely on both Retrofit and RxJava use them together in this manner.

As for too many requests pending, I'm not sure if OkHttp (which Retrofit uses for making requests and is again on that list) is configurable in that regard. If you want to handle it at the application level, you could maybe model the request queue to the network layer as an Observable<Request> and use RxJava's backpressure operators.

For more information on functional reactive programming (which I would call promises or CompletableFuture done better), see http://reactivex.io/

And for more information on RxJava, see https://github.com/ReactiveX/RxJava



When I load tested async HTTP clients at the BBC (for 1000rps), both https://hc.apache.org/httpcomponents-asyncclient-dev/ and https://github.com/AsyncHttpClient/async-http-client/ performed well. We used Apache's since it exposes connection pool statistics.

Apache's client doesn't have CompletableFuture, but it was easy to add one: https://gist.github.com/tomfitzhenry/4bb032f6a9f56d95f6fb544...

async-http-client is the HTTP client used by Gatling (same developer, in fact).


Look at Netty. You need to know a good bit about the protocol to use it but there's nothing faster save compiled C for network access


What's the interest in CompleteableFuture? It's probably my least favorite JDK addition...


yeah, i feel like they messed up the api.

easy integration into ratpack[1] non-blocking system. Propagation of the async-functionality through various classes without hardcoding an custom library-solution.

[1] https://ratpack.io Also clumsy api, but performant for the required workloads.


My biggest gripe isn't the massive API, it's the existence of the obtrude* methods - allowing a Future to change its completion result after it completes undermines the whole thing.


Take it with a grain of salt because it's years since I used it, but the Jetty HTTP Client has a fluent API and can be used completely asynchronously. It doesn't use CompletableFuture, but it works with Java 8 lambdas and wouldn't be hard to adapt.


what did you notice with unirest under load? I've been using it a lot, and other than one or two little quirks I havent noticed perf issues. async calls can be a bit involved but I figured thats just java ;)


Or just use Scala. Scala is like Java 13 in a consistent / elegant manner with functionality / features of half of the libraries listened.


Nice list. It would be super cool and useful to see less trivial examples of each library. Or at least links to examples in GitHub.


Great list, but I am surprised that guice is a recommendation for DI in 2017.


The only really comparable replacement is Dagger, which does not provide AOP or any kind of web integration.

Dagger is cool, but Guice is still a better choice for most server-side apps. Maybe that will change in the future? They're pretty similar, so if Dagger "catches up" it won't be too hard to switch.


I only need Java 9


are you kidding me? this is worst java library list for 2017


Can you defend that, or are you trolling?




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