Immutables vs MapStruct

Overview

Immutables

Stacks15

Followers15

Votes0

GitHub Stars3.5K

Forks289

MapStruct

Stacks54

Followers45

Votes1

GitHub Stars7.5K

Forks1.0K

Immutables vs MapStruct: What are the differences?

Introduction

In the realm of Java programming, Immutables and MapStruct are two popular libraries that offer unique functionalities. Below are the key differences between Immutables and MapStruct.

Purpose: Immutables is primarily used for creating immutable objects in Java, providing an easy way to generate immutable value objects with minimal boilerplate code. On the other hand, MapStruct is a code generator that simplifies the implementation of mapping between Java bean types.
Type of Transformation: Immutables focuses on creating immutable objects and builders for those objects, ensuring that once an object is created, its state cannot be modified. In contrast, MapStruct is more concerned with mapping data between different Java bean types, making it easier to manage data transformation in code.
Usage: Immutables is typically used for building immutable value objects that are safe to use in concurrent environments, preventing modifications after instantiation. MapStruct, on the other hand, is commonly employed in projects that involve data mapping and conversion between different Java bean types.
Performance Impact: Immutables, by utilizing immutable objects, can have performance benefits in scenarios where object state does not change frequently, as it eliminates synchronization and concurrency issues. MapStruct, being a mapping library, may introduce some overhead in terms of processing time for data transformations.
Annotation Usage: Immutables requires annotations like @Value and @Builder to define immutable value objects and builders, respectively. Conversely, MapStruct uses annotations like @Mapper and @Mapping to specify mappers and mappings between bean types, providing a clear and structured way to define data transformation logic.
Configuration Complexity: Immutables is straightforward to set up and use since it mainly deals with immutability and object creation. On the contrary, MapStruct may have a slightly higher configuration complexity due to the need to define mapping interfaces and methods for data transformation.

In Summary, Immutables is focused on creating immutable objects, while MapStruct specializes in mapping data between different Java bean types.

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Manual

Detailed Comparison

Immutables	MapStruct
Generate state of the art immutable objects and builders. Type-safe, null-safe, and thread-safe, with no boilerplate. Generate builders for immutable objects and even plain static factory methods.	It is a code generator that greatly simplifies the implementation of mappings between Java bean types based on a convention over configuration approach. The generated mapping code uses plain method invocations and thus is fast, type-safe and easy to understand.
Values and Builders; Easy to use; Feature packed; Clean code; Flexible	Mapping (immutable) objects using builders; Enhanced and more flexible update method (@MappingTarget) handling; Constructor injection for Annotation Based component models; Source policy for unmapped source properties (unmappedSourcePolicy); Support for defaultExpression; Limit mapping only to explicitly defined mappings; Performance improvement of constant / defaultValue primitive to String mappings; Warnings for precision loss
Statistics
GitHub Stars 3.5K	GitHub Stars 7.5K
GitHub Forks 289	GitHub Forks 1.0K
Stacks 15	Stacks 54
Followers 15	Followers 45
Votes 0	Votes 1
Pros & Cons
No community feedback yet	Pros 1 Abstraction of the object conversion
Integrations
guava Eclipse IntelliJ IDEA Java	NetBeans IDE Eclipse Java IntelliJ IDEA

What are some alternatives to Immutables, MapStruct?

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

guava

The Guava project contains several of Google's core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth.

Thymeleaf

It is a modern server-side Java template engine for both web and standalone environments. It is aimed at creating elegant web code while adding powerful features and retaining prototyping abilities.

JSF

It is used for building component-based user interfaces for web applications and was formalized as a standard through the Java Community

JavaMelody

It is used to monitor Java or Java EE application servers in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. It is mainly based on statistics of requests and on evolution charts.

RxJava

A library for composing asynchronous and event-based programs by using observable sequences for the Java VM.

Java 8

It is a revolutionary release of the world’s no 1 development platform. It includes a huge upgrade to the Java programming model and a coordinated evolution of the JVM, Java language, and libraries. Java 8 includes features for productivity, ease of use, improved polyglot programming, security and improved performance.

Apache FreeMarker

It is a "template engine"; a generic tool to generate text output (anything from HTML to auto generated source code) based on templates. It's a Java package, a class library for Java programmers.

Jackson

It is a suite of data-processing tools for Java (and the JVM platform), including the flagship streaming JSON parser / generator library, matching data-binding library (POJOs to and from JSON) and additional data format modules to process data encoded in Avro, BSON, CBOR, CSV, Smile, (Java) Properties, Protobuf, XML or YAML; and even the large set of data format modules to support data types of widely used data types such as Guava, Joda.

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Immutables vs MapStruct: What are the differences?

Introduction

In the realm of Java programming, Immutables and MapStruct are two popular libraries that offer unique functionalities. Below are the key differences between Immutables and MapStruct.

Purpose: Immutables is primarily used for creating immutable objects in Java, providing an easy way to generate immutable value objects with minimal boilerplate code. On the other hand, MapStruct is a code generator that simplifies the implementation of mapping between Java bean types.
Type of Transformation: Immutables focuses on creating immutable objects and builders for those objects, ensuring that once an object is created, its state cannot be modified. In contrast, MapStruct is more concerned with mapping data between different Java bean types, making it easier to manage data transformation in code.
Usage: Immutables is typically used for building immutable value objects that are safe to use in concurrent environments, preventing modifications after instantiation. MapStruct, on the other hand, is commonly employed in projects that involve data mapping and conversion between different Java bean types.
Performance Impact: Immutables, by utilizing immutable objects, can have performance benefits in scenarios where object state does not change frequently, as it eliminates synchronization and concurrency issues. MapStruct, being a mapping library, may introduce some overhead in terms of processing time for data transformations.
Annotation Usage: Immutables requires annotations like @Value and @Builder to define immutable value objects and builders, respectively. Conversely, MapStruct uses annotations like @Mapper and @Mapping to specify mappers and mappings between bean types, providing a clear and structured way to define data transformation logic.
Configuration Complexity: Immutables is straightforward to set up and use since it mainly deals with immutability and object creation. On the contrary, MapStruct may have a slightly higher configuration complexity due to the need to define mapping interfaces and methods for data transformation.

In Summary, Immutables is focused on creating immutable objects, while MapStruct specializes in mapping data between different Java bean types.