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  1. Stackups
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  5. Haskell vs Spring

Haskell vs Spring

OverviewDecisionsComparisonAlternatives

Overview

Spring
Spring
Stacks3.9K
Followers4.8K
Votes1.1K
GitHub Stars59.1K
Forks38.8K
Haskell
Haskell
Stacks1.4K
Followers1.2K
Votes527

Haskell vs Spring: What are the differences?

Developers describe Haskell as "An advanced purely-functional programming language". . On the other hand, Spring is detailed as "Provides a comprehensive programming and configuration model for modern Java-based enterprise applications". 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.

Haskell belongs to "Languages" category of the tech stack, while Spring can be primarily classified under "Frameworks (Full Stack)".

"Purely-functional programming " is the top reason why over 72 developers like Haskell, while over 192 developers mention "Java" as the leading cause for choosing Spring.

Spring is an open source tool with 30.6K GitHub stars and 19.6K GitHub forks. Here's a link to Spring's open source repository on GitHub.

According to the StackShare community, Spring has a broader approval, being mentioned in 319 company stacks & 184 developers stacks; compared to Haskell, which is listed in 33 company stacks and 47 developer stacks.

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Advice on Spring, Haskell

Kamrul
Kamrul

Aug 16, 2020

Needs adviceonDjangoDjangoSpring BootSpring Boot

I am a graduate student working as a software engineer in a company. For my personal development, I want to learn web development. I have some experience in Springboot while I was in university. So I want to continue with spring-boot, but I heard about Django. I'm reaching out to the experts here to help me choose a future proof framework. Django or Spring Boot?

Thanks in Advance

502k views502k
Comments
Asheesh
Asheesh

Dec 29, 2019

Needs advice

Hi, I am new to backend development and trying to make a decision about whether I should choose Nodejs or Spring Boot for a backend developer role. I have done 5 years of Android development and find using Java much better than javascript. Please advise why one is better over others and which one is good for the long term, also please highlight the job opportunities for both.

39.1k views39.1k
Comments

Detailed Comparison

Spring
Spring
Haskell
Haskell

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.

It is a general purpose language that can be used in any domain and use case, it is ideally suited for proprietary business logic and data analysis, fast prototyping and enhancing existing software environments with correct code, performance and scalability.

-
Statically typed; Purely functional; Type inference; Concurrent
Statistics
GitHub Stars
59.1K
GitHub Stars
-
GitHub Forks
38.8K
GitHub Forks
-
Stacks
3.9K
Stacks
1.4K
Followers
4.8K
Followers
1.2K
Votes
1.1K
Votes
527
Pros & Cons
Pros
  • 230
    Java
  • 157
    Open source
  • 136
    Great community
  • 123
    Very powerful
  • 114
    Enterprise
Cons
  • 15
    Draws you into its own ecosystem and bloat
  • 4
    Poor documentation
  • 3
    Java
  • 3
    Verbose configuration
  • 2
    Java is more verbose language in compare to python
Pros
  • 90
    Purely-functional programming
  • 66
    Statically typed
  • 59
    Type-safe
  • 39
    Open source
  • 38
    Great community
Cons
  • 9
    Too much distraction in language extensions
  • 8
    Error messages can be very confusing
  • 5
    Libraries have poor documentation
  • 3
    No good ABI
  • 3
    No best practices
Integrations
Java
Java
No integrations available

What are some alternatives to Spring, Haskell?

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.

JavaScript

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

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.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Django

Django

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

Ruby

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

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.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

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