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Java 8 vs JDSP: What are the differences?

Developers describe Java 8 as "A development environment for building applications *". It is a revolutionary release of the world’s no 1 development platform. It includes a huge upgrade to the Java programming model and a coordinated evolution of the JVM, Java language, and libraries. Java 8 includes features for productivity, ease of use, improved polyglot programming, security and improved performance. On the other hand, *JDSP** is detailed as "A Java Library for Digital Signal Processing". It is a library of digital signal processing tools written in Java aimed at providing functionalities as available in scipy-signal package for Python. The goal is to provide easy-to-use APIs for performing complex operation on signals eliminating the necessity of understanding the low-level complexities in the processing pipeline.

Java 8 and JDSP belong to "Java Tools" category of the tech stack.

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What is Java 8?

It is a revolutionary release of the world’s no 1 development platform. It includes a huge upgrade to the Java programming model and a coordinated evolution of the JVM, Java language, and libraries. Java 8 includes features for productivity, ease of use, improved polyglot programming, security and improved performance.

What is JDSP?

JDSP is a library of digital signal processing tools written in Java aimed at providing functionalities as available in scipy-signal package for Python.

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    What tools integrate with Java 8?
    What tools integrate with JDSP?
    What are some alternatives to Java 8 and JDSP?
    Scala
    Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.
    guava
    The Guava project contains several of Google's core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth.
    Apache FreeMarker
    It is a "template engine"; a generic tool to generate text output (anything from HTML to auto generated source code) based on templates. It's a Java package, a class library for Java programmers.
    RxJava
    A library for composing asynchronous and event-based programs by using observable sequences for the Java VM.
    Jackson
    It is a suite of data-processing tools for Java (and the JVM platform), including the flagship streaming JSON parser / generator library, matching data-binding library (POJOs to and from JSON) and additional data format modules to process data encoded in Avro, BSON, CBOR, CSV, Smile, (Java) Properties, Protobuf, XML or YAML; and even the large set of data format modules to support data types of widely used data types such as Guava, Joda.
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