10 Scala Libraries That you should be using: A blog around 10 different libraries in Scala.



Times are changing, technology is advancing and people are becoming more and

more impatient. Speed and efficiency are some of the most important factors that

determine whether any technological advancement will be relevant or not. Scala was

introduced in 2004 as an advancement of the language Java. Its design was aimed

to address the criticisms of the Java language. Java language with all its advantages

and uses still poses an issue when it comes to writing correct, concurrent,

fault-taulerant, and scalable applications.

There are specific frameworks and libraries in Scala which have been derived in order

to combat these issues that a user normally might face. Before learning about

specific frameworks and libraries, I highly recommend you to check out our last blog

on this topic

https://www.fusio npact.com/post/what-programming-language-should-you-learn-ja

va-versus-scala-3


So without wasting any time let’s explore the libraries and frameworks of Scala.


1. Akka Concurrency Framework


There is no doubt that writing correct distributed, concurrent, fault-tolerant,

and scalable applications are difficult in Java.

Akka aims to solve this problem

by introducing the correct level of Abstraction and using the best tools and

practices.

Akka introduces Actor modern and provides a better platform to build

scalable, resilient, and responsive applications. It also provides a complete

toolkit for building highly concurrent, distributed, and resilient

message-driven applications in Java and Scala. I

If you want to improve your concurrency skills then learning Akka can be a

great idea and if you need a resource then you can use this Akka Essentials

with Scala course by Daniel CioCirlan from Udemy. It’s one of the best courses

to learn the Akka actor model with Scala and write parallel, concurrent and

fault-tolerant systems.


2. Apache Spark


Apache Spark is another popular framework written in Scala. It is very popular

in the Big Data world and can be used to analyze a huge set of data in a quick

time.