10 Popular Scala Libraries For Data Science in 2020

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Introduction
Scala is one of the modern programming languages
??which has become the most prominent language
for data scientists today. Scala is an extension
of the Java language that is run on a Java
virtual machine. When it comes to working with
Big Data, this statistically typed language works
as a better tool for data scientists. This
article has provided a list of 10 Scala libraries
for all data science enthusiasts which is
beneficial for data science enthusiasts.
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DeepLearning.scala
DeepLearning.scala is considered to be an
alternative machine learning toolkit that
provides the best solution for better drying that
helps to link all object-oriented and functional
programming. It uses it to create statistically
created dynamic neural networks with high-level
functions. This library is most commonly used and
writing code is almost the same. But the only
difference is that all the code based on this
library is different, which helps to develop such
a new way by modifying such code from its
parameters.
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Breeze
The Breeze Library is considered to be Scala's
most elementary scientific computing library.
Breeze is used as a library to perform numerical
processing, with the help of which modeling is
done on Scala. It helps to provide a new set of
libraries for ScalaNLP which includes many
optimizations such as numerical computing whose
main goal is to enable the implementation of all
functions.
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ScalaLab
The biggest difference between ScalaLab and other
libraries is that it uses its own domain-specific
main language, which is the best scientific
programming environment for Java virtual
machines. ScalaLab is also known as ScalaSci
whose main capability is numerical code speed and
flexibility. One of the main design priorities of
ScalaLab is its user-friendly interface that can
easily import data.
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Summingbird
Summingbird Library This is a library that
allows for integration with other functions such
as MapReduce that look like the main Java and
Scala development data collection changes.
Summingbird is a domain-specific data processing
framework that helps execute on MapReduce
platforms that also include storm and scaling. It
executes Summingbird in batch mode using scaling
and in real-time mode using Storm Helps
significantly in execution.
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Vegas
If we talk about data visualization, then the
Scala library called Vegas is the best option
which is considered to be much more functional
than breeze-wise. Vegas allows for plotting
specifications to be created when performing
visualizations and provides the Scala API to
perform declarative statistical data
visualizations. The Vegas library enables Scala
development to work by typing and manipulating
the code better in JSON specifications.
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Saddle
Saddle is a high-performance data manipulation
library created by Scala that is considered a
scale analog of the R, Python and Panda
languages. Its use helps reinforce missing values
in different fields, such as array-supported,
vectorized numerical computation, allowing you to
manipulate your data structures and analyze basic
data.
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Breeze-viz
Breeze-viz You know by name that it is also
called a plotting library and visualization
library which has been created by Breeze for
Skat. Breeze-viz is a kind of charting library
based on JFreeChart and also an "image" command
like MATLAB.
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Epic
Epic libraries are seen as Scala and ScalaNLP as
some of the main natural language processing
libraries considered to be structured prediction
frameworks for Scala. It was distributed under
the Apache License version 2.0 which can be used
with the help of the program and command line
using pre-trained models with all the models that
the developer has trained due to the Epic
prediction framework Is known which helps
significantly in employing structured prediction
to create the most difficult systems.
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Spray
Spray Talking about Spray, this is a suite of
Scala development for Rest / HTTP web services
like the main one of Akka which assures you to
perform asynchronous actor-created
high-performance request processing but it allows
you to use internal Scala DSLs. Provides a
defined web services and convenient test solution
capability.
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Smile
Smile is a very fast machine learning engine that
speeds up business as well. It is a very
attractive machine learning system. This system
has been developed in Java Programming Language
which is described as similar to Python
Sci-Kit-Learn. Smile helps developers to quickly
write applications in Java, Scala, and JVM
languages, and the Scala API provides high-level
operators for them to make it easy for users to
build machine learning applications.
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