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  1. Stackups
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  5. ProGuard vs Quarkus

ProGuard vs Quarkus

OverviewComparisonAlternatives

Overview

ProGuard
ProGuard
Stacks16
Followers6
Votes0
Quarkus
Quarkus
Stacks311
Followers382
Votes80
GitHub Stars15.2K
Forks3.0K

ProGuard vs Quarkus: What are the differences?

# Key Differences between ProGuard and Quarkus

ProGuard is a tool used for shrinking, optimizing, and obfuscating Java code, primarily used in Android development to reduce the size of the APK file and increase performance. On the other hand, Quarkus is a Kubernetes-native Java framework specifically designed for GraalVM and OpenJDK HotSpot, providing fast boot times, low memory consumption, and an excellent developer experience.

1. **Purpose**: ProGuard focuses on optimizing and obfuscating Java code to improve performance and reduce size, while Quarkus aims to provide a streamlined Java framework for cloud-native applications with features like fast boot times and efficient resource consumption.
2. **Deployment**: ProGuard is typically used in the build process of Android applications to minimize the size of the APK, whereas Quarkus is a full-fledged Java framework that can be used for developing and deploying cloud-native applications on Kubernetes.
3. **Language Support**: ProGuard is primarily focused on Java code optimization, whereas Quarkus supports multiple languages such as Java, Kotlin, and Scala, making it a versatile option for polyglot development.
4. **Runtime Environment**: ProGuard operates during the build process to optimize the code before deployment, while Quarkus is designed to optimize performance at runtime, leveraging technologies like GraalVM and OpenJDK HotSpot.
5. **Community and Ecosystem**: ProGuard has a strong community within the Android development space, with a focus on optimizing code for mobile applications, while Quarkus has a growing community around cloud-native Java development, offering a wide range of extensions and tools for developers.
6. **Integration with Containers**: Quarkus is specifically designed for containerized environments like Kubernetes, making it easier to deploy and manage applications in a cloud-native architecture, whereas ProGuard does not have built-in features for containerization.

In Summary, ProGuard focuses on optimizing and obfuscating Java code for smaller APKs in Android development, while Quarkus is a cloud-native Java framework designed for fast boot times and efficient resource consumption in Kubernetes environments.

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Detailed Comparison

ProGuard
ProGuard
Quarkus
Quarkus

It makes your Java and Android applications up to 90% smaller and up to 20% faster. It also provides minimal protection against reverse engineering by obfuscating the names of classes, fields and methods.

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.

Obfuscates Java applications and pre-verifies the processed code for Java Micro Edition and for Java 6 and higher; Optimizes and obfuscates Java applications for cell phones, Blu-ray players, set-top boxes and other constrained devices; Reduces the download and startup time of Android applications and improves their performance on mobile devices
CONTAINER FIRST; UNIFIES IMPERATIVE AND REACTIVE; BEST OF BREED LIBRARIES AND STANDARDS
Statistics
GitHub Stars
-
GitHub Stars
15.2K
GitHub Forks
-
GitHub Forks
3.0K
Stacks
16
Stacks
311
Followers
6
Followers
382
Votes
0
Votes
80
Pros & Cons
No community feedback yet
Pros
  • 13
    Open source
  • 13
    Fast startup
  • 11
    Low memory footprint
  • 11
    Produce native code
  • 10
    Hot Reload
Cons
  • 2
    Boilerplate code when using Reflection
Integrations
No integrations available
Kubernetes
Kubernetes
Apache Camel
Apache Camel
Hibernate
Hibernate
Netty
Netty

What are some alternatives to ProGuard, Quarkus?

MyBatis

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

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

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

JSF

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

JavaMelody

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

RxJava

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

MapStruct

MapStruct

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.

Java 8

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

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

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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