Ratpack vs JGraphT

Overview

Ratpack

Stacks14

Followers22

Votes0

GitHub Stars1.9K

Forks402

JGraphT

Stacks8

Followers15

Votes0

GitHub Stars2.7K

Forks849

JGraphT vs Ratpack: What are the differences?

Developers describe JGraphT as "A Java library of graph theory data structures and algorithms". It is an open source library of graph-theoretic data structures and algorithms. It has been used in a number of university projects and classes, and shows up as a standard reference in books on Java programming. On the other hand, Ratpack is detailed as "A toolkit for web applications on the JVM". It is a set of Java libraries for building scalable HTTP applications It is a lean and powerful foundation. Its apps are lightweight, fast, composable with other tools and libraries, easy to test and enjoyable to develop..

JGraphT and Ratpack can be categorized as "Java" tools.

Some of the features offered by JGraphT are:

Flexible
Powerfull
Efficient

On the other hand, Ratpack provides the following key features:

Lean & powerful HTTP apps
toolkit for creating high performance web applications

JGraphT and Ratpack are both open source tools. It seems that Ratpack with 1.82K GitHub stars and 377 forks on GitHub has more adoption than JGraphT with 1.56K GitHub stars and 611 GitHub forks.

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Detailed Comparison

Ratpack	JGraphT
It is a set of Java libraries for building scalable HTTP applications. It is a lean and powerful foundation. Its apps are lightweight, fast, composable with other tools and libraries, easy to test and enjoyable to develop.	It is an open source library of graph-theoretic data structures and algorithms. It has been used in a number of university projects and classes, and shows up as a standard reference in books on Java programming.
Lean & powerful HTTP apps; toolkit for creating high performance web applications;	Flexible; Powerfull; Efficient
Statistics
GitHub Stars 1.9K	GitHub Stars 2.7K
GitHub Forks 402	GitHub Forks 849
Stacks 14	Stacks 8
Followers 22	Followers 15
Votes 0	Votes 0
Integrations
Spring Boot Hystrix Guice	DBFlow Java Xtend Azure Pipelines

What are some alternatives to Ratpack, JGraphT?

Node.js

Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Laravel

It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.

.NET

.NET is a general purpose development platform. With .NET, you can use multiple languages, editors, and libraries to build native applications for web, mobile, desktop, gaming, and IoT for Windows, macOS, Linux, Android, and more.

ASP.NET Core

A free and open-source web framework, and higher performance than ASP.NET, developed by Microsoft and the community. It is a modular framework that runs on both the full .NET Framework, on Windows, and the cross-platform .NET Core.

Symfony

It is written with speed and flexibility in mind. It allows developers to build better and easy to maintain websites with PHP..

Spring

A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.

Spring Boot

Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.