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Hug
ByHugHug

Hug

#39in Microframeworks
Discussions1
Followers55
OverviewDiscussions1AdoptionAlternativesIntegrations
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What is Hug?

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

Hug is a tool in the Microframeworks category of a tech stack.

Hug Pros & Cons

Pros of Hug

  • ✓Simple
  • ✓Elegant
  • ✓Fast
  • ✓REST
  • ✓Self documenting

Cons of Hug

No cons listed yet.

Hug Alternatives & Comparisons

What are some alternatives to 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.

Flask

Flask

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

Django REST framework

Django REST framework

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

FastAPI

FastAPI

It is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

Sinatra

Sinatra

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

Koa

Koa

Koa aims to be a smaller, more expressive, and more robust foundation for web applications and APIs. Through leveraging generators Koa allows you to ditch callbacks and greatly increase error-handling. Koa does not bundle any middleware.

Try It

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Adoption

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Hug Integrations

Python are some of the popular tools that integrate with Hug. Here's a list of all 1 tools that integrate with Hug.

Python
Python

Hug Discussions

Discover why developers choose Hug. Read real-world technical decisions and stack choices from the StackShare community.

Pierre Chapuis
Pierre Chapuis

Apr 23, 2019

Needs adviceonHugHugSQLAlchemySQLAlchemyPythonPython

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.

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