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

Bottle vs Flask

OverviewDecisionsComparisonAlternatives

Overview

Flask
Flask
Stacks19.3K
Followers16.2K
Votes60
Bottle
Bottle
Stacks74
Followers55
Votes5

Bottle vs Flask: What are the differences?

Introduction:

In the world of web development, Bottle and Flask are two popular Python web frameworks that provide developers with a flexible and efficient way to build web applications. While they have many similarities, there are also key differences between the two. In this article, we will explore and highlight six key differences between Bottle and Flask.

  1. Routing System: Bottle uses a simple and intuitive routing system where routes are defined using decorators. The routes are mapped to specific view functions, making it easy to handle various HTTP methods and URL patterns. On the other hand, Flask uses a similar routing system but with a more flexible syntax. Flask allows routes to be defined using the @app.route() decorator, which can be customized with options to handle HTTP methods and dynamic URLs.

  2. Templates: Both Bottle and Flask support the use of templates to separate the presentation logic from the application logic. However, the template engines used by each framework are different. Bottle uses its own built-in template engine called "Bottle Simple Templating Engine" (BST), which has a minimalistic syntax and provides basic templating features. Flask, on the other hand, supports multiple template engines such as Jinja2, Mako, and others. The use of Jinja2 as the default template engine in Flask offers more advanced features and a more expressive syntax.

  3. HTTP Server: Bottle comes with a built-in HTTP server, allowing applications to be served directly from Bottle without the need for an external server. This makes it ideal for small-scale applications or for development and testing purposes. Flask, on the other hand, does not include a built-in server and requires an external server such as Gunicorn to run the application in a production environment.

  4. Extension Ecosystem: Flask has a larger and more mature extension ecosystem compared to Bottle. Flask has a wide range of well-documented and actively-maintained extensions that provide additional capabilities such as database integration, user authentication, and more. Bottle, although it also has an extension ecosystem, it is relatively smaller and may have fewer options for advanced functionalities.

  5. Dependencies: Bottle is designed to be lightweight and has minimal dependencies. It has a small codebase and is self-contained, making it easy to deploy and distribute. Flask, on the other hand, has more dependencies due to its larger feature set and flexibility. Flask relies on Werkzeug as the underlying WSGI utility library and also incorporates Jinja2 as the default template engine, adding to its dependency list.

  6. Community and Documentation: Flask has a larger and more active community compared to Bottle. Flask has been widely adopted by the Python community and has a vibrant ecosystem with active forums, community-driven resources, and extensive documentation. Bottle, although it also has a community and readily available documentation, may have less community support and resources in comparison.

In summary, Bottle and Flask are both powerful Python web frameworks with their own unique features and strengths. Bottle offers simplicity, lightweightness, and an integrated server, making it suitable for small-scale applications and quick development. Flask, on the other hand, provides a more extensive feature set, a flexible syntax, a larger extension ecosystem, and a strong community support, making it suitable for more complex and scalable projects.

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Advice on Flask, Bottle

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
Bottle
Bottle

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

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.

-
Fast and pythonic built-in template engine; Built-in HTTP development server
Statistics
Stacks
19.3K
Stacks
74
Followers
16.2K
Followers
55
Votes
60
Votes
5
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
  • 2
    Super easy to use
  • 2
    Great documentation
  • 1
    Faster
Integrations
No integrations available
Python
Python
Vue.js
Vue.js
Jinja
Jinja

What are some alternatives to Flask, Bottle?

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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