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  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Frameworks
  5. Falcon vs Tornado

Falcon vs Tornado

OverviewComparisonAlternatives

Overview

Tornado
Tornado
Stacks530
Followers409
Votes167
GitHub Stars22.3K
Forks5.5K
Falcon
Falcon
Stacks84
Followers201
Votes89

Falcon vs Tornado: What are the differences?

Key Differences between Falcon and Tornado

Falcon and Tornado are both popular Python web frameworks, but they have some key differences that set them apart.

  1. Asynchronous Support: One major difference is in their approaches to handling asynchronous requests. Tornado is known for its native support for coroutines and asynchronous I/O, making it a good choice for high-performance applications that require handling a large number of concurrent connections. Falcon, on the other hand, does not provide built-in asynchronous support but can be integrated with other libraries like gevent or asyncio to achieve similar results.

  2. Size and Simplicity: Falcon aims to be lightweight and barebones, providing only the essential features needed for building REST APIs. It prioritizes simplicity and minimalism, making it a good choice for small to medium-sized projects. Tornado, on the other hand, offers a more comprehensive set of features, including a built-in templating engine, support for websockets, and a full-featured web server. This makes Tornado a better fit for larger, more complex applications with additional requirements beyond just REST APIs.

  3. Routing: Tornado and Falcon handle routing in different ways. Tornado uses regular expressions for routing, allowing for more flexibility and complex patterns. Falcon, on the other hand, uses a simpler routing system based on URI templates. This makes Falcon easier to learn and use for developers who are new to web development or prefer a more straightforward approach.

  4. Middleware Support: Both frameworks support middleware, but the way they handle it is different. Tornado uses a middleware stack that allows you to apply middleware to specific handlers or the entire application. Falcon, on the other hand, uses a more lightweight middleware system where middleware functions are called for each request and response. This gives Falcon more flexibility in terms of when and how middleware is applied.

  5. Performance: Tornado is designed to prioritize performance and scalability, making it a popular choice for high-performance web applications. Its asynchronous architecture allows it to handle a large number of concurrent connections efficiently. Falcon, on the other hand, is also performant but focuses more on simplicity and ease of use. It may be a better fit for smaller projects or situations where performance is not the primary concern.

In Summary, Falcon and Tornado differ in their approach to handling asynchronous requests, their size and simplicity, routing mechanisms, middleware support, and performance focus. Both frameworks have their strengths and are suited for different types of applications.

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Detailed Comparison

Tornado
Tornado
Falcon
Falcon

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.

Falcon is a minimalist WSGI library for building speedy web APIs and app backends. We like to think of Falcon as the Dieter Rams of web frameworks.

-
Intuitive routing via URI templates and resource classes;Easy access to headers and bodies through request and response classes;Idiomatic HTTP error responses via a handy exception base class;DRY request processing using global, resource, and method hooks;Snappy unit testing through WSGI helpers and mocks;20% speed boost when Cython is available;Python 2.6, Python 2.7, PyPy and Python 3.3/3.4 support
Statistics
GitHub Stars
22.3K
GitHub Stars
-
GitHub Forks
5.5K
GitHub Forks
-
Stacks
530
Stacks
84
Followers
409
Followers
201
Votes
167
Votes
89
Pros & Cons
Pros
  • 37
    Open source
  • 31
    So fast
  • 27
    Great for microservices architecture
  • 20
    Websockets
  • 17
    Simple
Cons
  • 2
    Event loop is complicated
Pros
  • 13
    Python
  • 11
    FAST
  • 10
    Minimal
  • 8
    Open source
  • 8
    Well designed
Integrations
Python
Python
Python
Python

What are some alternatives to Tornado, Falcon?

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.

ExpressJS

ExpressJS

Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications.

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.

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