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Flask vs Pyramid: What are the differences?
Introduction
In this article, we will compare and contrast the key differences between Flask and Pyramid, which are both popular web frameworks for Python. Flask is a micro-framework that is designed to be simple and lightweight, while Pyramid is a full-stack framework that provides more features and flexibility.
Development Philosophy: Flask follows a minimalist approach, providing only the essential tools for web development. It is designed to be easy to learn and use, as its codebase is relatively small and straightforward. On the other hand, Pyramid adopts a "pay only for what you need" philosophy, allowing developers to choose and integrate various components based on their specific project requirements. It is more suited for complex applications that demand a high level of customization.
Routing and URL Mapping: Flask uses a decorator-based approach for URL routing, where developers define routes using special decorators attached to view functions. This provides a clean and intuitive way to map URLs to specific functionalities. In contrast, Pyramid uses a more flexible configuration-based routing system. Routes are defined in a separate configuration file, allowing developers to specify advanced route patterns, customize behavior, and easily manage complex route structures.
Template Engine: Flask employs the Jinja2 templating engine, which is known for its balance between power and simplicity. Jinja2 offers features like template inheritance, filters, and macros, making it easy to build reusable, dynamic web templates. Pyramid, on the other hand, is template-agnostic and does not include its own template engine. Instead, it supports various template engines like Jinja2, Mako, and Chameleon, giving developers the freedom to choose the one that best fits their needs.
Database Integration: Flask provides minimal built-in support for database integration. It includes a simple Object-Relational Mapping (ORM) called SQLAlchemy, which allows developers to interact with databases using Python objects and SQL queries. Pyramid takes a more modular approach and does not include any specific database integration by default. However, it provides seamless integration with SQLAlchemy and other popular ORMs like Django ORM and MongoDB.
Project Structure and Scalability: Flask does not enforce any specific project structure or scalability guidelines, offering developers complete freedom to organize their code as they see fit. This can be beneficial for small projects or rapid prototyping, but it can become challenging to maintain consistency and scalability in larger applications. Pyramid, being a full-stack framework, provides a well-defined project structure and promotes scalability through its component-based architecture and support for advanced features like URL dispatch, traversal, and authentication.
Community and Ecosystem: Flask has a strong and active community with a large number of extensions and libraries available for various functionalities like authentication, REST APIs, and caching. It is widely adopted and has a vast ecosystem of resources, tutorials, and community support. Pyramid has a smaller but dedicated community, with a focus on quality and maintainability. It also offers a range of extensions and libraries, albeit fewer in number compared to Flask.
In summary, Flask and Pyramid offer different approaches to web development in Python. Flask is a lightweight, minimalist framework that emphasizes simplicity and ease of use, while Pyramid is a full-stack framework with a more flexible and customizable architecture. The choice between the two depends on the project requirements, scalability needs, and the level of control and customization desired by the developers.
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?
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.
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.
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.
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.
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.
Pros of Flask
- For it flexibility10
- Flexibilty and easy to use9
- Flask8
- User friendly7
- Secured6
- Unopinionated5
- Secure2
- Customizable1
- Simple to use1
- Powerful1
- Rapid development1
- Beautiful code1
- Easy to develop and maintain applications1
- Easy to setup and get it going1
- Easy to use1
- Documentation1
- Python1
- Minimal1
- Lightweight1
- Easy to get started1
- Orm1
- Not JS1
- Perfect for small to large projects with superb docs.1
- Easy to integrate1
- Speed1
- Get started quickly1
- Open source0
- Well designed0
- Flexibilty0
- Productive0
- Awesome0
- Expressive0
- Love it0
Pros of Pyramid
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Cons of Flask
- Not JS10
- Context7
- Not fast5
- Don't has many module as in spring1