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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.

Advice on Bottle and Flask
kristan-dev
Senior Solutions Analyst · | 8 upvotes · 354.8K 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 · 345.3K 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 · 281.3K views
Needs advice
on
BottleBottleFlaskFlask
and
NamekoNameko

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
on
BottleBottle

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 · | 6 upvotes · 299.9K 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
on
FlaskFlask
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 Bottle
Pros of Flask
  • 2
    Great documentation
  • 2
    Super easy to use
  • 1
    Faster
  • 14
    Flexibilty
  • 10
    For it flexibility
  • 9
    Flexibilty and easy to use
  • 8
    Flask
  • 7
    User friendly
  • 6
    Secured
  • 5
    Unopinionated
  • 3
    Orm
  • 2
    Secure
  • 1
    Beautiful code
  • 1
    Easy to get started
  • 1
    Easy to develop and maintain applications
  • 1
    Not JS
  • 1
    Easy to use
  • 1
    Documentation
  • 1
    Python
  • 1
    Minimal
  • 1
    Lightweight
  • 1
    Easy to setup and get it going
  • 1
    Perfect for small to large projects with superb docs.
  • 1
    Easy to integrate
  • 1
    Speed
  • 1
    Get started quickly
  • 1
    Customizable
  • 1
    Simple to use
  • 1
    Powerful
  • 1
    Rapid development
  • 0
    Open source
  • 0
    Well designed
  • 0
    Productive
  • 0
    Awesome
  • 0
    Expressive
  • 0
    Love it

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Cons of Bottle
Cons of Flask
    Be the first to leave a con
    • 10
      Not JS
    • 7
      Context
    • 5
      Not fast
    • 1
      Don't has many module as in spring

    Sign up to add or upvote consMake informed product decisions

    What is 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.

    What is Flask?

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

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