Flask vs Spring: What are the differences?
What is Flask? a microframework for Python based on Werkzeug, Jinja 2 and good intentions. Flask is intended for getting started very quickly and was developed with best intentions in mind.
What is Spring? 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.
Flask and Spring are primarily classified as "Microframeworks (Backend)" and "Frameworks (Full Stack)" tools respectively.
"Lightweight", "Python" and "Minimal" are the key factors why developers consider Flask; whereas "Java", "Open source" and "Great community" are the primary reasons why Spring is favored.
Flask and Spring are both open source tools. Flask with 45.2K GitHub stars and 12.7K forks on GitHub appears to be more popular than Spring with 30.6K GitHub stars and 19.6K GitHub forks.
According to the StackShare community, Flask has a broader approval, being mentioned in 511 company stacks & 531 developers stacks; compared to Spring, which is listed in 319 company stacks and 184 developer stacks.
What is Flask?
What is Spring?
Need advice about which tool to choose?Ask the StackShare community!
Sign up to add, upvote and see more prosMake informed product decisions
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions
Unlike our frontend, we chose Flask, a microframework, for our backend. We use it with Python 3 and Gunicorn.
One of the reasons was that I have significant experience with this framework. However, it also was a rather straightforward choice given that our backend almost only serves REST APIs, and that most of the work is talking to the database with SQLAlchemy .
We could have gone with something like Hug but it is kind of early. We might revisit that decision for new services later on.
We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.
To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas
To build #Webapps we decided to use Angular 2 with RxJS
#Devops - GitHub , Travis CI , Terraform , Docker , Serverless
Flask is a light, yet powerful Python web framework perfect for quickly building smaller web applications. It's a "micro-framework" that's easy to learn and simple to use, so it's perfect for those new to web development as well as those looking to rapidly develop a web application.
Spring is another gift rained down by the gods of Open Source Software (a.k.a. Pivotal Labs in this particular case) that just makes sense on all levels.
From Spring Boot, to SpringMVC, the configuration architecture & profile paradigm, Spring Cloud expandability, to the ease with which one can deploy Spring applets as microservices within Docker is an absolute joy.
I use Flask for times when I need to create a REST API that interfaces with other Python code, or there is no specific reason why I'd want to use Node.JS. I prefer Flask because of its small learning curve, allowing me to get started coding as quickly as possible
This lightweight web framework enables quick REST API development while enabling easy clustering, and the usage of multiple worker processes required to scale the REST API service to meet high volume requirements.
The core of the application use Spring Stack, to provide services and structure like:
- Self contained application with spring boot
- And many others.
그냥 간단한 MVC 웹 프레임 워크 인줄 알았는데 정말 모듈화가 잘 되있고, 사용하다보면 개발자에게 정말 편리하게 만들어 놓았다. vaildation 부분은 따로 처리 할 수 있고, 파라미터 담는 변수와 디폴트 값을 인자로 설정해 주는 부분도 참 좋은 것 같다. 또 spring-data 는 jpa 활용해 빠르게 개발하는데 유용하다.
- SpringFramework 중 MVC , AOP 등의 라이브러리를 활용하여 웹 어플리케이션 프로젝트 구성
공통 로직 구현 및 보안 처리 가능
Spring5에서 지원하는 함수형 프로그래밍 경험 있음
Service to query NOAA weather forecasts data and service to build tidal current forecast maps using AWS EC2 and Geoserver
Used Spring Boot and its ORM to interacting with database server for web application development.
Flask drives our APIs, both the Website APIs and the majority of the REST Messaging APIs