Google Guava vs Google Guice: Which Java Library is Your Best Bet to Success?

Google Guava vs Google Guice: Which Java Library is Your Best Bet to Success?
Published on

Google Guava vs Google Guice: Which Java library helps in reducing coding errors?

Now more than maybe ever, businesses, corporations, students, and developers alike are aware of the omnipresence of IT and branches of IT including programming, and software development. Software Engineers and IT professionals are some of the highest-paid professionals. That being said, it is also a profession that keeps evolving to keep up with these updates one has to study continuously. In a similar context, the Java developer is one of the most coveted career options today. This success can be attributed to the versatility of the language itself. Java is a powerful general-purpose language used in web applications, mobile applications, and computer games. Every developer is more or less aware of the benefits of using libraries– eliminating redundancy and thus saving time. For every programming language, there are frameworks and libraries that are fundamental to learning and mastering it. For Java developers looking out for the best Java Library to learn and grow, we are comparing Google Guava vs Google Guice. Let's find out which Java Library is your best bet to success?

Google Guava vs Google Guice: Google Guava helps in reducing coding errors

Google Guava is an open-source (a decentralized software-development model that encourages open collaboration) set of common libraries for Java, mainly developed by Google engineers. It helps in reducing coding errors. It provides utility methods for collections, caching, primitives support, concurrency, common annotations, string processing, I/O, and validations.

Why Google Guava?

  • By replacing the existing library classes with those from guava, you can reduce the amount of code you need to maintain.
  • It is reliable, fast, and efficient
  • It provides many utility classes like Iterables, Lists, Sets, Maps, Multisets, Multimaps, Tables which are regularly required in programming application development.
  • Many Guava utilities reject and fail fast on nulls, rather than accepting them blindly, as null can be ambiguous sometimes.
  • It simplifies implementing Object methods, like hashCode () and toString ().
  • Guava provides the Preconditions class with a series of common preconditions.
  • The Guava library is highly optimized.
  • It simplifies propagating and examining exceptions and errors with the help of Throwables utility.
  • Guava's powerful API helps in dealing with ranges of Comparable types, both continuous and discrete.
  • It provides tools for more sophisticated hashes than what's provided by Object.hashCode(), including Bloom filters.
  • It provides Optimized, thoroughly tested math utilities not provided by the JDK.
  • Guava provides a few extremely useful string utilities like splitting, joining, padding, and more.
  • It provides powerful collection utilities, for common operations not provided in java.util.Collections.

Google Guava vs Google Guice: Google Guice is Java-based dependency injection framework

Guice is a lightweight dependency injection (DI) framework for Java, performing a similar role to Spring's core Inversion of Control (IOC) library. It's almost as popular as Guava. If you're not familiar with it, Guice eases the need for factories and simplifies the use of 'new' in your code. In Google's own words, Guice @Inject is the new new.

While this library won't absolve you from writing factories, it will help make sure your code is not directly dependent on them. That way, it will be easier to change, unit test and reuse your code.

This library aims to make development and debugging easier and faster. The documentation even claims to help you get a better understanding of your code. Another cool feature Guice offers is generating helpful messages when errors occur, so you'll have an idea of what happened and how you can solve it.

Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

                                                                                                       _____________                                             

Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.

Related Stories

No stories found.
logo
Analytics Insight
www.analyticsinsight.net