Python vs Spring-Boot

Overview

Python

Stacks262.9K

Followers205.4K

Votes6.9K

GitHub Stars69.7K

Forks33.3K

Spring Boot

Stacks26.7K

Followers24.3K

Votes1.0K

GitHub Stars78.9K

Forks41.6K

Python vs Spring Boot: What are the differences?

Python and Spring Boot are both popular frameworks used in web development. Here are the key differences between them.

Language of Choice: Python is a dynamic, interpreted language known for its simplicity and readability. On the other hand, Spring Boot is built on Java, which is a statically typed language known for its performance and scalability.
Development Paradigm: Python follows a more procedural and object-oriented programming paradigm, allowing developers to write code that is easier to understand and maintain. In contrast, Spring Boot follows a more declarative programming paradigm, providing developers with a higher level of abstraction and reducing the amount of boilerplate code.
Community and Ecosystem: Python has a larger community and a vast ecosystem of libraries and frameworks, making it easier to find solutions to common problems. Spring Boot, on the other hand, has a strong community support within the Java ecosystem, allowing developers to leverage a wide range of existing Java libraries.
Performance: Python, being an interpreted language, may have slower execution times compared to Spring Boot, which is compiled to bytecode and runs on the Java Virtual Machine. Spring Boot's performance benefits from the performance optimizations provided by the JVM.
Scalability: Spring Boot, being built on Java, is known for its robustness and scalability, making it a preferred choice for large-scale enterprise applications. Python, although scalable, may face performance limitations when handling high concurrent loads.
Domain of Application: Python is widely used in areas such as web development, scientific computing, and data analysis, with its simplicity and rich ecosystem offering a versatile set of tools. Spring Boot, being part of the Java ecosystem, is often used for enterprise applications, microservices architecture, and larger-scale systems.

In summary, Python is a dynamic and versatile language with a strong community and ecosystem, making it ideal for a wide range of applications. Meanwhile, Spring Boot, with its performance, scalability, and integration capabilities, is well-suited for larger enterprise applications and microservices architecture.

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CLI (Node.js)

Manual

Advice on Python, Spring Boot

Thomas

Talent Co-Ordinator at Tessian

Mar 11, 2020

Decided

In December we successfully flipped around half a billion monthly API requests from our Ruby on Rails application to some new Python 3 applications. Our Head of Engineering has written a great article as to why we decided to transition from Ruby on Rails to Python 3! Read more about it in the link below.

263k views263k

Comments

Ítalo

VP Platform Engineering at Lykon

Feb 19, 2020

Decided

We decided to use python to write our ETLs and import them into metabase via a lambda. Before python we tried using Go, but overall go was way more verbose than Python when writing the ETLs. Go also had some issues managing memory when using the S3 upload manager library. This was a deal breaker for us that made us switch to Python.

In the end the solution was much cleaner and maintainable.

261k views261k

Comments

Mohamed

Software Engineer at YottaHQ Inc.

Dec 2, 2019

Decided

PHP is easy to learn and you can get up and running in no time, available on almost all hosting providers and you can find developers easily. It has some great frameworks for building your backend like Symfony and Laravel. However, it can be challenging when running an enterprise and needs some adjustments, very recommended for starting a new project or startup.

208k views208k

Comments

Detailed Comparison

Python	Spring Boot
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.	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.
Statistics
GitHub Stars 69.7K	GitHub Stars 78.9K
GitHub Forks 33.3K	GitHub Forks 41.6K
Stacks 262.9K	Stacks 26.7K
Followers 205.4K	Followers 24.3K
Votes 6.9K	Votes 1.0K
Pros & Cons
Pros 1186 Great libraries 966 Readable code 848 Beautiful code 789 Rapid development 692 Large community Cons 53 Still divided between python 2 and python 3 28 Performance impact 26 Poor syntax for anonymous functions 22 GIL 20 Package management is a mess	Pros 149 Powerful and handy 134 Easy setup 128 Java 90 Spring 85 Fast Cons 23 Heavy weight 18 Annotation ceremony 13 Java 11 Many config files needed 5 Reactive
Integrations
Django	Spring Java

What are some alternatives to Python, Spring Boot?

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 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.

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

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

Django

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

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

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 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

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.

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

Related Comparisons

Python vs Spring Boot: What are the differences?

Python and Spring Boot are both popular frameworks used in web development. Here are the key differences between them.

Language of Choice: Python is a dynamic, interpreted language known for its simplicity and readability. On the other hand, Spring Boot is built on Java, which is a statically typed language known for its performance and scalability.
Development Paradigm: Python follows a more procedural and object-oriented programming paradigm, allowing developers to write code that is easier to understand and maintain. In contrast, Spring Boot follows a more declarative programming paradigm, providing developers with a higher level of abstraction and reducing the amount of boilerplate code.
Community and Ecosystem: Python has a larger community and a vast ecosystem of libraries and frameworks, making it easier to find solutions to common problems. Spring Boot, on the other hand, has a strong community support within the Java ecosystem, allowing developers to leverage a wide range of existing Java libraries.
Performance: Python, being an interpreted language, may have slower execution times compared to Spring Boot, which is compiled to bytecode and runs on the Java Virtual Machine. Spring Boot's performance benefits from the performance optimizations provided by the JVM.
Scalability: Spring Boot, being built on Java, is known for its robustness and scalability, making it a preferred choice for large-scale enterprise applications. Python, although scalable, may face performance limitations when handling high concurrent loads.
Domain of Application: Python is widely used in areas such as web development, scientific computing, and data analysis, with its simplicity and rich ecosystem offering a versatile set of tools. Spring Boot, being part of the Java ecosystem, is often used for enterprise applications, microservices architecture, and larger-scale systems.

Python vs Spring-Boot

Overview