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Flask
Flask

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Semantic UI
Semantic UI

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Flask vs Semantic UI: What are the differences?

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; Semantic UI: A UI Component library implemented using a set of specifications designed around natural language. Semantic empowers designers and developers by creating a shared vocabulary for UI.

Flask can be classified as a tool in the "Microframeworks (Backend)" category, while Semantic UI is grouped under "Front-End Frameworks".

"Lightweight", "Python" and "Minimal" are the key factors why developers consider Flask; whereas "Easy to use and looks elegant", "Variety of components" and "Themes" are the primary reasons why Semantic UI is favored.

Flask and Semantic UI are both open source tools. Semantic UI with 45.9K GitHub stars and 4.84K forks on GitHub appears to be more popular than Flask with 45.2K GitHub stars and 12.7K GitHub forks.

According to the StackShare community, Flask has a broader approval, being mentioned in 511 company stacks & 531 developers stacks; compared to Semantic UI, which is listed in 77 company stacks and 55 developer stacks.

What is Flask?

Flask is intended for getting started very quickly and was developed with best intentions in mind.

What is Semantic UI?

Semantic empowers designers and developers by creating a shared vocabulary for UI.
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Why do developers choose Flask?
Why do developers choose Semantic UI?

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    What tools integrate with Flask?
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    What are some alternatives to Flask and Semantic UI?
    Django
    Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
    Tornado
    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.
    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.
    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.
    React
    Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project.
    See all alternatives
    Decisions about Flask and Semantic UI
    Koa
    Koa
    React Router
    React Router
    Foundation
    Foundation
    Semantic UI
    Semantic UI
    Bootstrap
    Bootstrap
    PostCSS
    PostCSS
    Less
    Less
    Sass
    Sass
    styled-components
    styled-components
    React Helmet
    React Helmet
    Webpack
    Webpack
    TypeScript
    TypeScript
    JavaScript
    JavaScript
    Apollo
    Apollo
    GraphQL
    GraphQL
    React
    React
    #JSX
    #React.
    #Css
    #StyledComponents.
    #Async
    #HTML
    #GraphQL
    #Apollo

    ReactQL is a React + GraphQL front-end starter kit. #JSX is a natural way to think about building UI, and it renders to pure #HTML in the browser and on the server, making it trivial to build server-rendered Single Page Apps. GraphQL via Apollo was chosen for the data layer; #GraphQL makes it simple to request just the data your app needs, and #Apollo takes care of communicating with your API (written in any language; doesn't have to be JavaScript!), caching, and rendering to #React.

    ReactQL is written in TypeScript to provide full types/Intellisense, and pick up hard-to-diagnose goofs that might later show up at runtime. React makes heavy use of Webpack 4 to handle transforming your code to an optimised client-side bundle, and in throws back just enough code needed for the initial render, while seamlessly handling import statements asynchronously as needed, making the payload your user downloads ultimately much smaller than trying to do it by hand.

    React Helmet was chosen to handle <head> content, because it works universally, making it easy to throw back the correct <title> and other tags on the initial render, as well as inject new tags for subsequent client-side views.

    styled-components, Sass, Less and PostCSS were added to give developers a choice of whether to build styles purely in React / JavaScript, or whether to defer to a #css #preprocessor. This is especially useful for interop with UI frameworks like Bootstrap, Semantic UI, Foundation, etc - ReactQL lets you mix and match #css and renders to both a static .css file during bundling as well as generates per-page <style> tags when using #StyledComponents.

    React Router handles routing, because it works both on the server and in the client. ReactQL customises it further by capturing non-200 responses on the server, redirecting or throwing back custom 404 pages as needed.

    Koa is the web server that handles all incoming HTTP requests, because it's fast (TTFB < 5ms, even after fully rendering React), and its natively #async, making it easy to async/await inside routes and middleware.

    See more
    Pierre Chapuis
    Pierre Chapuis
    at Pierre Chapuis · | 5 upvotes · 37.8K views
    atChilliChilli
    Gunicorn
    Gunicorn
    Python
    Python
    SQLAlchemy
    SQLAlchemy
    Hug
    Hug
    Flask
    Flask

    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.

    See more
    Praveen Mooli
    Praveen Mooli
    Technical Leader at Taylor and Francis · | 11 upvotes · 98.6K views
    MongoDB Atlas
    MongoDB Atlas
    Amazon S3
    Amazon S3
    Amazon DynamoDB
    Amazon DynamoDB
    Amazon RDS
    Amazon RDS
    Serverless
    Serverless
    Docker
    Docker
    Terraform
    Terraform
    Travis CI
    Travis CI
    GitHub
    GitHub
    RxJS
    RxJS
    Angular 2
    Angular 2
    AWS Lambda
    AWS Lambda
    Amazon SQS
    Amazon SQS
    Amazon SNS
    Amazon SNS
    Amazon Kinesis Firehose
    Amazon Kinesis Firehose
    Amazon Kinesis
    Amazon Kinesis
    Flask
    Flask
    Python
    Python
    ExpressJS
    ExpressJS
    Node.js
    Node.js
    Spring Boot
    Spring Boot
    Java
    Java
    #Data
    #Devops
    #Webapps
    #Eventsourcingframework
    #Microservices
    #Backend

    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

    See more
    Interest over time
    Reviews of Flask and Semantic UI
    Avatar of mjhea0
    Software Engineer at TestDriven Labs
    Review ofFlaskFlask

    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.

    How developers use Flask and Semantic UI
    Avatar of Jack Littleton
    Jack Littleton uses FlaskFlask

    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

    Avatar of Cloudify
    Cloudify uses FlaskFlask

    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.

    Avatar of Sail Tactics
    Sail Tactics uses FlaskFlask

    Service to query NOAA weather forecasts data and service to build tidal current forecast maps using AWS EC2 and Geoserver

    Avatar of osu! Ripple
    osu! Ripple uses Semantic UISemantic UI

    We use Semantic UI for our frotend. A heavily customised version of it, but still Semantic UI under the hood.

    Avatar of Ralic Lo
    Ralic Lo uses Semantic UISemantic UI

    Used Semantic UI + Angular2 together with Spring or Node/Express for full stack web application development.

    Avatar of OnlineCity
    OnlineCity uses FlaskFlask

    Flask drives our APIs, both the Website APIs and the majority of the REST Messaging APIs

    Avatar of papaver
    papaver uses FlaskFlask

    used flask for a few personal projects. enjoyed its simplicity and ease of use.

    Avatar of Giftstarter
    Giftstarter uses Semantic UISemantic UI

    We haven't yet, but we would like to integrate into our Web App.

    Avatar of Eliana Abraham
    Eliana Abraham uses Semantic UISemantic UI

    It's pretty. Used it once for MDST.

    Avatar of Wellzesta
    Wellzesta uses Semantic UISemantic UI

    Grid, widgets, theming.

    How much does Flask cost?
    How much does Semantic UI cost?
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