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Java Libraries

6 Mar 2025
4 min read

Java libraries are essential tools that simplify complex tasks for developers. These libraries contain pre-written codes. There are features, like class libraries in Java, that save effort. These libraries handle data structures, file operations, and networking, saving developers time. There are several built-in Java standard libraries with other powerful third-party libraries. For AI projects, Java ML libraries offer great tools for building smart applications.

In this blog, we’ll go through some essential Java libraries, both standard and third-party, including the best options for machine learning to help you code more efficiently.

What are Java Libraries?

Basic libraries in java are pre-written sets of code that help developers perform common tasks without starting from scratch. You can simply use these libraries to handle everything from data management to complex computations. Every developer is somewhat aware of the benefits of using Java libraries to eliminate redundancies and save time.

A class library in Java is simply a group of classes that perform a specific function. For example, the ArrayList class in java.util makes handling dynamic arrays much easier compared to traditional arrays. Java libraries fall into two main categories — standard libraries and third-party libraries. Java developers should also be familiar with basic libraries that simplify coding and improve efficiency. Now, let’s look at the popular list of Java libraries that every developer must know.

Java offers a vast collection of libraries. The standard library covers essential functionalities through different packages. Developers can also benefit from several third-party libraries. Some of the highly recommended Java libraries are as follows:

Java Standard Libraries

Java’s standard libraries provide essential building blocks for development. The Java standard libraries include:

  • java.lang- For core functionalities
  • java.util- For data structures
  • java.io- For file handling
  • java.net- For networking
  • java.sql- For database access

These built-in libraries ensure efficiency, reliability, and seamless integration for various applications.

Apache Commons

Apache Commons, a widely used library, provides reusable Java components. These components effectively simplify development. Using this library, developers can write more efficient and cleaner codes. It includes the following utilities:

  • Commons IO- It handles I/O operations.
  • Commons Lang- It manages string manipulation.
  • Commons Configuration- It is useful for configuration management. 
  • Commons Collections- It focuses on data processing. 
  • Commons BSF - Integrates Java with scripting languages.
  • Commons Crypto - Provides fast and secure cryptographic functions.
  • Commons CSV - Simplifies reading and writing CSV files.

Jackson

Java has a powerful library called Jackson that processes JSON data. It converts Java objects to JSON, making developers’ tasks easier. This library offers high performance and flexibility. Jackson supports streaming, data binding, and tree-based processing. These key features of Jackson make it a popular choice for APIs, web applications, and data serialization.

Maven

Maven is a powerful build automation and project management tool for Java. It simplifies dependency management, project compilation, and deployment. This library uses a structured XML-based configuration (pom.xml). It automates tasks like downloading libraries, managing versions, and handling builds. All these features make Maven an essential tool for large-scale Java development.

Google-JSON

Google JSON allows developers to convert Java objects to JSON and vice versa. It is an easy-to-use and lightweight library of Java. It supports complex object serialization and deserialization. Web applications and APIs benefit the most from Google-Json.

Log5j and Slf4j

Log5j and SLF4J are some of the most powerful Java logging frameworks in this list. These libraries help developers manage application logs efficiently.

  • Log5j – It is available in Java5 or higher version. It is a lightweight and fast-logging library in Java.  
  • SLF4J (Simple Logging Facade for Java) allows developers to switch between different logging frameworks easily.  

JUnit

JUnit is a widely used testing framework for Java. It simplifies unit testing and provides annotations, assertions, and test runners. This helps developers write and execute test cases efficiently. JUnit is an essential tool to ensure the code is reliable.

Google Guava

Google Guava enhances collections, caching, concurrency, and string processing. It provides immutable collections, functional utilities, and memory-efficient caching mechanisms. This makes Java development more efficient. It offers features like Lists, Sets, Maps, and Optional.  With these features, Guava simplifies coding and improves performance in large-scale applications.

JAXB - XML Parsing Library

JAXB is a Java library that allows developers to convert Java objects to XML and vice versa seamlessly. It simplifies XML parsing and serialization by using annotations to map Java classes to XML structures. JAXB is widely used in web services, configuration management, and application data exchange.

HTTP Libraries

JDK doesn't support HTTP requests. In order to implement an HTTP connection, we have to use classes available in the java.net package. Using third-party libraries such as Apache HttpClient and HttpCore is not so easy to use.

The JDK 9 version supports HTTP 2.0. We can also use Apache libraries such as HttpClient, HttpCode, and HttpAsyncClient. We suggest all the developers get complete knowledge of these libraries before using them in the code.

DBCP [Database Connection Pool Library]

Managing database connections efficiently is crucial for any Java application. That's where DBCP comes in. It helps handle multiple connections without any glitch and reduces lag to improving performance. With features like connection validation, idle connection removal, and statement pooling, DBCP makes database interaction hassle free. It's widely used in enterprise applications so we recommend it as a must-know tool for developers working with databases.

JPA (Java Persistence API)

When working with databases in Java JPA makes life easier. It provides a standard way to map Java objects to relational databases and eliminates the need for complex SQL queries. With JPA, handling database operations becomes more intuitive and manageable in large applications.

Mockito

Writing reliable Java applications requires proper testing, and Mockito is the go-to framework for it. It helps create mock objects, define behavior, and verify interactions which makes it a unit testing smoother. With Mockito, developers can test individual components without worrying about actual dependencies.

1. Creation of Mock Objects: Instead of using real objects in tests, Mockito allows developers to create lightweight mock objects that mimic real behavior. This helps isolate test cases and avoids unintended side effects.

2. Stubbing Behaviour: Mockito lets you define how a mock object should behave when a specific method is called. This is useful for simulating different scenarios and handling edge cases effectively.

3. Verification: It’s important to check if methods are being called as expected. Mockito provides simple ways to verify whether a method was called, how many times, and with what arguments.

4. Argument Matching: Sometimes, test cases need flexibility with method parameters. Mockito’s argument matchers allow developers to verify method calls without hardcoding specific values, making tests more adaptable.

Hibernate

When it comes to working with databases in Java, Hibernate is one of the most popular frameworks. It simplifies database interactions by providing an Object-Relational Mapping (ORM) solution. This allows developers to work with Java objects instead of complex SQL queries. Hibernate makes data persistence smoother and more efficient in large scale applications.

Features of Hibernate: 

1. Object-Relational Mapping: Hibernate maps Java objects to database tables automatically. This removes the need for manual SQL handling. It makes database operations more intuitive.

2. Query Language: It provides HQL (Hibernate Query Language), which is more flexible than SQL and works directly with Java objects. Therefore the code readability is greatly improved.

3. Lazy Loading: Hibernate loads data only when needed. This reduces memory usage and speeds up performance. It is especially useful for handling large datasets efficiently.

4. Caching: With built-in caching mechanisms, Hibernate minimizes database queries, speeding up application performance while reducing database load.

5. Transactions: It manages database transactions seamlessly, ensuring data consistency and rollback mechanisms to handle failures gracefully.

Java Library for Machine Learning

Java offers several libraries that make it easier to develop AI-driven applications. Some of the most powerful Java ML libraries are as follows:

  • Deeplearning4j (DL4J) – DL4J is a deep learning framework optimized for Java and JVM. This library supports distributed training and integration with Spark.
  • Weka – It is a widely used library for data mining and machine learning. Weka offers various algorithms for classification, regression, and clustering.
  • Encog – Encog supports neural networks, genetic algorithms, and fuzzy logic. It is one of the most flexible and efficient ML libraries on this list.
  • Smile – A high-performance machine learning library with a rich set of algorithms for classification, clustering, NLP, and more.
  • Java-ML – A simple and effective ML library offering easy-to-use implementations of common machine learning algorithms.

These libraries help Java developers integrate AI and machine learning into their applications efficiently.

Conclusion

Java’s ecosystem provides different libraries that simplify development by providing pre-built functions. These libraries handle data structures, file management, networking, etc. These libraries also reduce coding efforts. Thus, developers have better productivity, which results in better performance. As demands for AI and data science are growing, Java ML libraries are also becoming a crucial component of intelligent application development. Exploring and integrating the right Java libraries can significantly improve software development. Developers who incorporate these tools can write more efficient and scalable codes.

Frequently Asked Questions

1. What are Java libraries?

Java libraries are pre-written code that saves developers time and effort. They have reusable functions for data handling, networking, and machine learning.

2. Are Java Standard Library and third-party libraries different?

Yes, Java libraries can be categorized into Java Standard Library and third-party libraries. The Java Standard Library is built into Java. The developer community develops third-party libraries that offer additional functionalities.

3. Which Java libraries are essential for beginners?

Beginners should start with java.lang, java.util, java.io, java.net, and java.sql. These standard libraries cover fundamental programming tasks.

4. Why should developers use Java libraries?

Libraries save developers time and reduce errors. These libraries also provide tested and optimized functionalities. It improves performance and simplifies coding. 

5. How to integrate Java libraries into a project?

Maven or Gradle effectively manages dependencies. Developers can use it to integrate libraries into their Java projects.

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