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
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.
Apache Spark is an open-source cluster computing platform. It provides an
interface for programming entire clusters with implicit data parallelism and
fault tolerance.
If you are thinking to move on to Big Data or taking on some Big Data projects
then learning Spark can be a good idea. If you want to learn Spark, I highly
recommend you check out this Apache Spark with the Scala course by Frank
Kane on Udemy. It’s both a practical and hands-on course to learn Spark
online by yourself.
3. Play Framework
Just like Akka makes writing concurrent applications in Java and Scala easy,
Play Framework makes it easy to build web applications with Java and Scala.
Play is based on a lightweight, stateless, web-friendly architecture that takes
advantage of a highly concurrent and scalable Akka framework for writing a
highly scalable web application.
Play provides predictable and minimal resource consumption (CPU, memory,
threads) for highly-scalable applications.
Along with Akka, Play is two of the most popular Scala framework and if you
want to learn Play, you can use this Play Masterclass course on Udemy to start
with.
4. Scala Slick
Slick is a modern database query and access library for Scala. It allows you to
work with stored data almost as if you were using Scala collections while at
the same time giving you full control over when a database access happens
and which data is transferred.
You can write your database queries in Scala instead of SQL, thus profiting
from the static checking, compile-time safety, and compositionality of Scala.
Slick features an extensible query compiler that can generate code for
different backends.
If you want to learn Slick in 2022 and looking for good resources then you can
also check out this Kickstart SCALA — The UItimate Scala Beginner Bootcamp
course on Udemy. It touches base on all important Scala frameworks including
Slick for the database.
5. Monix
Monix is another high-performance Scala / Scala.js library for composing
asynchronous, event-based applications.
It started as a proper implementation of ReactiveX, with stronger functional
programming influences, and was designed from the ground up for
back-pressure and made to cleanly interact with Scala’s standard library,
compatible out-of-the-box with the Reactive Streams protocol.
There are not many resources to learn Monix online like I didn’t find any book
or course but their Documentation is good and you can use them to learn
Monix by yourself.
6. LIft
Lift is one of the most powerful and secure web frameworks available today. It
is a free and open-source web framework that is designed for the Scala
programming language.
It was originally created by David Pollak who was dissatisfied with certain
aspects of the Ruby on Rails framework.
Since Lift applications are written in Scala which is compatible with Java, you
can still use your favorite Java libraries and deploy them to your favorite Servlet
Container and app server.
Scala allows you to use the code you’ve already written and deployed it to the
container you’ve already configured! If you want to learn Lift in 2022 and
looking for a great resource then you can also check out this Lift MasterClass
on Udemy.
7. Lagom
This is another Scala framework for building microservices using Scala tools
and frameworks. It’s actually a platform that provides you complete toolset for
building, managing, and monitoring high-performance and non-blocking
microservices.
This framework targets Java developers but uses Scala’s powerful tools and
technologies like:
- SBT (Scala’s build system, project definitions),
- Play (REST endpoints, Guice dependency injections)
- Akka (processing)
- Cassandra (default data storage)
- Most of the technologies are hidden behind the interface so you don’t
need to worry. It’s still fairly new but also offers an alternative to Spring
Boot, Micronaut, and Quarkus for building Microservices in the Java
world.
8. Breeze
Breeze is a set of libraries for machine learning and numerical computing and
is a part of the ScalaNLP umbrella project. It is a library for numerical
processing which is modeled on Scala. It provides a set of libraries for
ScalaNLP which includes linear algebra, numerical computing, and
optimization. It aims to enable a generic, powerful yet still efficient approach
to ML.
9. DeepLearning.Scala
DeepLearning.scala is a deep learning toolkit for Scala which combines
object-oriented and functional programming constructs. It is a simple library
for creating statically typed dynamic neural networks from map/reduce and
other higher-order functions. Using this library, the writing of code is almost
the same and the only difference is that the code based on this library is
differentiable which enables such code to evolve by modifying its parameters
continuously.
10. Saddle
Saddle is a high-performance data manipulation library for Scala which
provides array-backed, indexed, one and two-dimensional data structures,
vectorized numerical calculations, automatic data alignment as well as
robustness to missing values. It is licensed under Apache License version 2.0
and is said as the easiest and most expressive way to program with structured
data on Java Virtual Machine (JVM).
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