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Flask

12.8K
10.6K
+ 1
1.4K
Tornado

295
360
+ 1
163
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Flask vs Tornado: 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 Tornado? A Python web framework and asynchronous networking library, originally developed at FriendFeed. 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.

Flask belongs to "Microframeworks (Backend)" category of the tech stack, while Tornado can be primarily classified under "Frameworks (Full Stack)".

"Lightweight" is the top reason why over 261 developers like Flask, while over 34 developers mention "Open source" as the leading cause for choosing Tornado.

Flask and Tornado are both open source tools. It seems that Flask with 44.8K GitHub stars and 12.6K forks on GitHub has more adoption than Tornado with 17.9K GitHub stars and 4.97K GitHub forks.

reddit, Lyft, and MIT are some of the popular companies that use Flask, whereas Tornado is used by Keen, Lensley, and dotCloud. Flask has a broader approval, being mentioned in 502 company stacks & 509 developers stacks; compared to Tornado, which is listed in 69 company stacks and 16 developer stacks.

Advice on Flask and Tornado
kristan-dev
Senior Solutions Analyst · | 7 upvotes · 92.9K views

My journey to developing REST APIs started with Flask Restful, and I've found it to be enough for the needs of my project back then. Now that I've started investing more time on personal projects, I've yet to decide if I should move to use Django for writing REST APIs. I often see job posts looking for Python+Django developers, but it's usually for full-stack developers. I'm primarily interested in Data Engineering, so most of my web projects are back end.

Should I continue with what I know (Flask) or move on to Django?

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Replies (1)
Rafael Torres
Technical Lead at 4Agile · | 9 upvotes · 83.7K views

If you want to be a Web developer with knowledge in another frontend and NoSql technology, maybe continue with Flask. However, if you want to create very fast solutions to grow up with a new business and merge these with data analysis and other tools, Django is the answer. Basically read more about the service architecture where you feel more comfortable, Microservice or Monolithic, but please will not married with any because they solve issues to different contexts.

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Girish Sharma
Software Engineer at FireVisor Systems · | 6 upvotes · 71.6K views
Needs advice
on
Nameko
Flask
and
Bottle

Which is the best Python framework for microservices?

We are using Nameko for building microservices in Python. The things we really like are dependency injection and the ease with which one can expose endpoints via RPC over RabbitMQ. We are planning to try a tool that helps us write polyglot microservices and nameko is not super compatible with it. Also, we are a bit worried about the not so good community support from nameko and looking for a python alternate to write microservices.

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Replies (1)
Recommends
Bottle

Bottle is much less bloated and fast. Its built-in templating system is one of the fastest as it compiles the templates in bytecode. Also Bottle has no depenencies, preventing dependency bloat.

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Saurav Pandit
Application Devloper at Bny Mellon · | 5 upvotes · 70.2K views

I have just started learning Python 3 weeks ago. I want to create a REST API using python. The API will be used to save form data in an Oracle database. The front end is using AngularJS 8 with Angular Material. In python, there are so many frameworks to develop REST APIs.

I am looking for some suggestions which REST framework to choose?

Here are some features I am looking for:

  • Easy integration and unit testing, like in Angular. We just want to run a command.

  • Code packaging, like in java maven project we can build and package. I am looking for something which I can push in as an artifact and deploy whole code as a package.

  • Support for swagger/ OpenAPI

  • Support for JSON Web Token

  • Support for test case coverage report

Framework can have features included or can be available by extension. Also, you can suggest a framework other than the ones I have mentioned.

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Replies (1)
Recommends
Flask
at

For starters flask provides a beautiful and easy way to create REST APIs. Also its supported by excellent beginner docs as well as a very active community. Another good thing with Flask is its widely available list of plugins which allow you to build as you go. Its also good in performance and can scale to a quite decent level. However, if you are sure your project is going to be fairly big, it would be better to start with Django as it provides a lot of features out of the box and is extremely stable in performance. Both these frameworks have support for Swagger, JWT, Coverage Report although you have to install plugins for them. Deploying both of these are fairly simple and there is huge documentation available. Django has one of the best documentations I have come across. I hope I was able to answer your queries.

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Pros of Flask
Pros of Tornado
  • 302
    Lightweight
  • 262
    Python
  • 209
    Minimal
  • 140
    Open source
  • 95
    Documentation
  • 63
    Easy to use
  • 52
    Easy to setup and get it going
  • 51
    Well designed
  • 45
    Easy to develop and maintain applications
  • 43
    Easy to get started
  • 15
    Beautiful code
  • 14
    Rapid development
  • 12
    Expressive
  • 12
    Powerful
  • 12
    Awesome
  • 11
    Speed
  • 10
    Love it
  • 9
    Flexibilty
  • 9
    Simple to use
  • 8
    Perfect for small to large projects with superb docs.
  • 8
    Easy to integrate
  • 8
    Get started quickly
  • 8
    For it flexibility
  • 7
    Customizable
  • 7
    Flexibilty and easy to use
  • 7
    Productive
  • 6
    Not JS
  • 6
    Flask
  • 5
    Secured
  • 5
    User friendly
  • 4
    Unopinionated
  • 37
    Open source
  • 31
    So fast
  • 26
    Great for microservices architecture
  • 20
    Websockets
  • 17
    Simple
  • 13
    Asynchronous
  • 9
    Python
  • 7
    Lightweight
  • 3
    Handles well persistent connexions

Sign up to add or upvote prosMake informed product decisions

Cons of Flask
Cons of Tornado
  • 10
    Not JS
  • 7
    Context
  • 3
    Not fast
  • 2
    Event loop is complicated

Sign up to add or upvote consMake informed product decisions

What is Flask?

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

What is 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.

Need advice about which tool to choose?Ask the StackShare community!

What companies use Flask?
What companies use Tornado?
See which teams inside your own company are using Flask or Tornado.
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What tools integrate with Flask?
What tools integrate with Tornado?

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What are some alternatives to Flask and Tornado?
Django
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
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.
Bottle
It is distributed as a single file module and has no dependencies other than the Python Standard Library. It has fast and pythonic built-in template engine and support for mako, jinja2 and cheetah templates.
See all alternatives
Reviews of Flask and Tornado
Software Engineer at TestDriven Labs
Review of
Flask

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 Tornado
Jack Littleton uses
Flask

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

SpreadServe uses
Tornado

SpreadServe's RealTimeWebServer is built in Tornado. Spreadsheets loaded into SpreadServeEngine instances are projected into browsers using Tornado. Server side recalcs are pushed to the browser using web sockets.

Cloudify uses
Flask

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.

papaver uses
Tornado

setup an api for a client with tornado backend. incredibly fast and lightweight. unfortunately breaks down when using third party libraries which block internally.

Sail Tactics uses
Flask

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

Banyan uses
Tornado

Tornado with Async/Await coroutines provided in Python 3.5 make up for an excellent stack for a micro-service.

OnlineCity uses
Flask

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

papaver uses
Flask

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