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  1. Stackups
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  4. Frameworks
  5. Ratpack vs Tornado

Ratpack vs Tornado

OverviewComparisonAlternatives

Overview

Tornado
Tornado
Stacks530
Followers409
Votes167
GitHub Stars22.3K
Forks5.5K
Ratpack
Ratpack
Stacks14
Followers22
Votes0
GitHub Stars1.9K
Forks402

Ratpack vs Tornado: What are the differences?

Developers describe Ratpack 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.. On the other hand, Tornado is detailed as "A Python web framework and asynchronous networking library, originally developed at FriendFeed". By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user.

Ratpack and Tornado can be primarily classified as "Frameworks (Full Stack)" tools.

Ratpack and Tornado are both open source tools. Tornado with 18.1K GitHub stars and 5.01K forks on GitHub appears to be more popular than Ratpack with 1.81K GitHub stars and 366 GitHub forks.

Facebook, Zalando, and Keen are some of the popular companies that use Tornado, whereas Ratpack is used by Tradier, azampar, and Deutsche Bahn. Tornado has a broader approval, being mentioned in 77 company stacks & 134 developers stacks; compared to Ratpack, which is listed in 3 company stacks and 3 developer stacks.

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Detailed Comparison

Tornado
Tornado
Ratpack
Ratpack

By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user.

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.

-
Lean & powerful HTTP apps; toolkit for creating high performance web applications;
Statistics
GitHub Stars
22.3K
GitHub Stars
1.9K
GitHub Forks
5.5K
GitHub Forks
402
Stacks
530
Stacks
14
Followers
409
Followers
22
Votes
167
Votes
0
Pros & Cons
Pros
  • 37
    Open source
  • 31
    So fast
  • 27
    Great for microservices architecture
  • 20
    Websockets
  • 17
    Simple
Cons
  • 2
    Event loop is complicated
No community feedback yet
Integrations
Python
Python
Spring Boot
Spring Boot
Hystrix
Hystrix
Guice
Guice

What are some alternatives to Tornado, Ratpack?

Node.js

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

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

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

Laravel

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

.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

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

Symfony

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

Spring

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

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.

Android SDK

Android SDK

Android provides a rich application framework that allows you to build innovative apps and games for mobile devices in a Java language environment.

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