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  1. Stackups
  2. Application & Data
  3. Microframeworks
  4. Microframeworks
  5. Flask vs Hug

Flask vs Hug

OverviewDecisionsComparisonAlternatives

Overview

Flask
Flask
Stacks19.3K
Followers16.2K
Votes60
Hug
Hug
Stacks14
Followers55
Votes12

Flask vs Hug: What are the differences?

Key Differences between Flask and Hug

Flask and Hug are two popular frameworks used for building web applications in Python. While they both serve similar purposes, there are key differences that set them apart.

  1. Routing: Flask uses a decorator-based approach for routing, where specific functions are mapped to specific URLs. On the other hand, Hug uses explicit syntax for routing, allowing developers to define routes using Pythonic syntax with more control and flexibility.

  2. Performance: Hug is designed to be highly performant, with built-in optimizations that make it faster than Flask in certain scenarios. Hug achieves this by utilizing a compiled version of code and leveraging Cython for speed. Flask, on the other hand, does not have these performance optimizations by default.

  3. API Generation: Hug's main focus is on building APIs, and it provides a straightforward way to generate API documentation automatically. It includes features like automatic serialization of responses and clean error handling. Flask, on the other hand, is a more general-purpose framework and does not have these built-in features specifically tailored for API development.

  4. Scalability: Flask is a lightweight framework that allows developers to cherry-pick the components they need for their applications. This flexibility makes it easier to build small to medium-sized applications. Hug, on the other hand, is built with scalability in mind, making it suitable for larger applications that require high performance and extensive APIs.

  5. Community and Ecosystem: Flask has a larger and more mature community and ecosystem compared to Hug. It has been around for a longer time and has a wider range of third-party libraries and extensions available. This means that Flask users have access to a larger pool of resources, tutorials, and community support. Hug, being a relatively newer framework, has a smaller community and ecosystem in comparison.

  6. Learning Curve: Flask is known for its simplicity and ease of use, making it a great choice for beginners or those who prefer a minimalistic approach. Hug, on the other hand, has a steeper learning curve due to its more advanced features and explicit syntax. It may require more time and effort to grasp the full capabilities of Hug compared to Flask.

In summary, Flask and Hug are both capable frameworks for building web applications in Python, but they differ in terms of routing approach, performance, API generation features, scalability, community and ecosystem size, and learning curve. Choose Flask for simplicity and ease of use, or opt for Hug for high performance, advanced API features, and scalability.

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Advice on Flask, Hug

Kristan Eres
Kristan Eres

Senior Solutions Analyst

Jul 30, 2020

Needs adviceonDjangoDjangoPythonPythonFlaskFlask

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?

392k views392k
Comments
Saurav
Saurav

Application Devloper at Bny Mellon

Mar 27, 2020

Needs advice

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.

337k views337k
Comments
Girish
Girish

Software Engineer at FireVisor Systems

Apr 17, 2020

Needs adviceonPythonPythonNamekoNamekoRabbitMQRabbitMQ

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.

310k views310k
Comments

Detailed Comparison

Flask
Flask
Hug
Hug

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

Hug aims to make developing Python driven APIs as simple as possible, but no simpler. As a result, it drastically simplifies Python API development.

Statistics
Stacks
19.3K
Stacks
14
Followers
16.2K
Followers
55
Votes
60
Votes
12
Pros & Cons
Pros
  • 10
    For it flexibility
  • 9
    Flexibilty and easy to use
  • 7
    User friendly
  • 6
    Secured
  • 5
    Unopinionated
Cons
  • 10
    Not JS
  • 7
    Context
  • 5
    Not fast
  • 1
    Don't has many module as in spring
Pros
  • 4
    Simple
  • 2
    REST
  • 2
    Fast
  • 2
    Elegant
  • 2
    Self documenting
Integrations
No integrations available
Python
Python

What are some alternatives to Flask, Hug?

ExpressJS

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.

Django REST framework

Django REST framework

It is a powerful and flexible toolkit that makes it easy to build Web APIs.

Sails.js

Sails.js

Sails is designed to mimic the MVC pattern of frameworks like Ruby on Rails, but with support for the requirements of modern apps: data-driven APIs with scalable, service-oriented architecture.

Sinatra

Sinatra

Sinatra is a DSL for quickly creating web applications in Ruby with minimal effort.

Lumen

Lumen

Laravel Lumen is a stunningly fast PHP micro-framework for building web applications with expressive, elegant syntax. We believe development must be an enjoyable, creative experience to be truly fulfilling. Lumen attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as routing, database abstraction, queueing, and caching.

Slim

Slim

Slim is easy to use for both beginners and professionals. Slim favors cleanliness over terseness and common cases over edge cases. Its interface is simple, intuitive, and extensively documented — both online and in the code itself.

Fastify

Fastify

Fastify is a web framework highly focused on speed and low overhead. It is inspired from Hapi and Express and as far as we know, it is one of the fastest web frameworks in town. Use Fastify can increase your throughput up to 100%.

Falcon

Falcon

Falcon is a minimalist WSGI library for building speedy web APIs and app backends. We like to think of Falcon as the Dieter Rams of web frameworks.

hapi

hapi

hapi is a simple to use configuration-centric framework with built-in support for input validation, caching, authentication, and other essential facilities for building web applications and services.

TypeORM

TypeORM

It supports both Active Record and Data Mapper patterns, unlike all other JavaScript ORMs currently in existence, which means you can write high quality, loosely coupled, scalable, maintainable applications the most productive way.

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