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  1. Stackups
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  4. Microframeworks
  5. Falcon vs Spark Framework

Falcon vs Spark Framework

OverviewDecisionsComparisonAlternatives

Overview

Falcon
Falcon
Stacks84
Followers201
Votes89
Spark Framework
Spark Framework
Stacks39
Followers91
Votes7
GitHub Stars9.7K
Forks1.6K

Falcon vs Spark Framework: What are the differences?

Introduction:

Falcon and Spark Framework are two popular web frameworks used for building web applications in Python and Java respectively. Despite having a different programming language as their base, they share similarities in terms of being lightweight and efficient frameworks. However, there are key differences that set them apart.

  1. Language Support: The fundamental difference between Falcon and Spark Framework lies in the programming languages they support. Falcon is specifically designed for Python language, whereas Spark Framework is built for Java. This difference in language support dictates the ecosystem, libraries, and community support available for each framework.

  2. API Design Philosophy: Falcon is known for its minimalist and unopinionated design philosophy, which allows developers to have more control over the structure and behavior of their API. On the other hand, Spark Framework follows a more opinionated approach, offering a set of conventions and guidelines to streamline development.

  3. Concurrency Model: Falcon utilizes asynchronous programming and non-blocking I/O to handle high concurrent requests efficiently. In contrast, Spark Framework follows a more traditional synchronous model, which may lead to performance implications when dealing with a large number of concurrent requests.

  4. Scalability: Falcon is highly scalable and is often preferred for building microservices and APIs in high-traffic systems due to its lightweight nature and efficient request handling. In comparison, Spark Framework provides a robust ecosystem and support for building large-scale enterprise applications with complex business logic and integrations.

  5. Community and Support: Falcon has a smaller and more niche community compared to Spark Framework, which has a larger user base and extensive documentation. The availability of resources, tutorials, and community support can play a significant role in choosing the right framework for a project.

In Summary, the key differences between Falcon and Spark Framework lie in their language support, API design philosophy, concurrency model, scalability, and community support, shaping the way developers approach web development in Python and Java.

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Advice on Falcon, Spark Framework

Juan José
Juan José

May 1, 2020

Decided

I developed Hexagon heavily inspired in these great tools because of the following reasons:

  • Take full advantage of the Kotlin programming language without any strings attached to Java (as a language).
  • I wanted to be able to replace the HTTP server library used with different adapters (Jetty, Netty, etc.) and though right now there is only one, more are coming.
  • Have a complete tool to do full applications, though you can use other libraries, Hexagon comes with a dependency injection helper, settings loading from different sources and HTTP Client, so it comes with (batteries included).

Right now I'm using it for my pet projects, and I'm happy with it.

35.9k views35.9k
Comments

Detailed Comparison

Falcon
Falcon
Spark Framework
Spark Framework

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.

It is a simple and expressive Java/Kotlin web framework DSL built for rapid development. Its intention is to provide an alternative for Kotlin/Java developers that want to develop their web applications as expressive as possible and with minimal boilerplate.

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
Built for productivity; Lets you take full advantage of the JVM
Statistics
GitHub Stars
-
GitHub Stars
9.7K
GitHub Forks
-
GitHub Forks
1.6K
Stacks
84
Stacks
39
Followers
201
Followers
91
Votes
89
Votes
7
Pros & Cons
Pros
  • 13
    Python
  • 11
    FAST
  • 10
    Minimal
  • 8
    REST oriented
  • 8
    Well designed
Pros
  • 2
    Very easy to get up and running. Lovely API
  • 1
    Java
  • 1
    Easy
  • 1
    Fast
  • 1
    Ideal for microservices
Integrations
Python
Python
Kotlin
Kotlin
Java
Java

What are some alternatives to Falcon, Spark Framework?

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.

Django REST framework

Django REST framework

It is a powerful and flexible toolkit that makes it easy to build Web APIs.

Sails.js

Sails.js

Sails is designed to mimic the MVC pattern of frameworks like Ruby on Rails, but with support for the requirements of modern apps: data-driven APIs with scalable, service-oriented architecture.

Sinatra

Sinatra

Sinatra is a DSL for quickly creating web applications in Ruby with minimal effort.

Lumen

Lumen

Laravel Lumen is a stunningly fast PHP micro-framework for building web applications with expressive, elegant syntax. We believe development must be an enjoyable, creative experience to be truly fulfilling. Lumen attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as routing, database abstraction, queueing, and caching.

Slim

Slim

Slim is easy to use for both beginners and professionals. Slim favors cleanliness over terseness and common cases over edge cases. Its interface is simple, intuitive, and extensively documented — both online and in the code itself.

Fastify

Fastify

Fastify is a web framework highly focused on speed and low overhead. It is inspired from Hapi and Express and as far as we know, it is one of the fastest web frameworks in town. Use Fastify can increase your throughput up to 100%.

hapi

hapi

hapi is a simple to use configuration-centric framework with built-in support for input validation, caching, authentication, and other essential facilities for building web applications and services.

TypeORM

TypeORM

It supports both Active Record and Data Mapper patterns, unlike all other JavaScript ORMs currently in existence, which means you can write high quality, loosely coupled, scalable, maintainable applications the most productive way.

FeathersJS

FeathersJS

Feathers is a real-time, micro-service web framework for NodeJS that gives you control over your data via RESTful resources, sockets and flexible plug-ins.

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