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Flask vs Polymer: What are the differences?
- Execution Environment: Flask is a Python web framework that runs on the server-side, handling requests and generating responses, while Polymer is a JavaScript library that runs on the client-side, helping to build web components and handle user interface interactions.
- Language: Flask uses Python for its server-side scripting, whereas Polymer uses JavaScript for its client-side scripting.
- Purpose: Flask is primarily used for building web applications and APIs, focusing on server-side logic, routing, and rendering web pages, while Polymer is designed for creating interactive web components and enhancing user experience on the client-side.
- Architecture: Flask follows the Model-View-Controller (MVC) pattern for organizing code and data, dividing it into separate components for easier maintenance and scalability, while Polymer promotes the use of Web Components, encapsulating functionality and styling in reusable custom elements.
- Flexibility: Flask provides more flexibility and control over the backend logic and database interactions of a web application, allowing for customizations and optimizations based on specific project requirements, whereas Polymer offers a structured approach to front-end development, focusing on building modular and reusable components for consistent user interfaces.
- Community and Ecosystem: Flask has a robust community and ecosystem of extensions and libraries that enhance its functionality and provide solutions for various development needs, while Polymer has a growing community around web components and Polymer-specific tools, but may have a narrower range of resources compared to Flask.
In Summary, Flask and Polymer differ in their execution environments, language choices, purposes, architectures, flexibility, and community support.
Hey! So I am planning to make an e-commerce website with React Native as my frontend technology stack and MongoDB as my database. I was wondering what will be the best REST framework to use for my backend that will simply serve the frontend. Is Django rest framework a good option or should I go with Flask? I am currently leaning towards flask as the development team is well versed in it. Please help!
If the application is simple such as less endpoint or simple logic, I'd suggest Flask. But what you're building is quite a large system that contains many logics and a lot of models. So I'd suggest you with Django and Django REST framework. Django ORM is also one of the best ORM in the world as well.
FastAPI is modern microframework. If you haven't used any of them, I'd suggest FastAPI. Django REST is also good if you have previous experience with it.
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.
We decided to expose our small machine learning (ML) pipeline as a REST API. This allows us to nicely separate concerns from the rest of the codebase. There are two very popular choices in Python for building APIs: Flask and FastAPI. We have experience with both, but find that FastAPIs use of static type hints and validation with Pydantic allow us to build better APIs faster.
Pros of Flask
- For it flexibility10
- Flexibilty and easy to use9
- User friendly7
- Secured6
- Unopinionated5
- Secure2
- Customizable2
- Simple to use1
- Powerful1
- Rapid development1
- Flask1
- Easy to get started1
- Easy to develop and maintain applications1
- Easy to setup and get it going1
- Easy to use1
- Documentation1
- Beautiful code1
- Orm1
- Not JS1
- Perfect for small to large projects with superb docs.1
- Easy to integrate1
- Speed1
- Get started quickly1
- Python1
- Minimal1
- Lightweight1
- Flexibilty0
- Well designed0
- Productive0
- Awesome0
- Open source0
- Expressive0
- Love it0
Pros of Polymer
- Web components52
- Material design30
- HTML14
- Components13
- Open source5
- It uses the platform4
- Designer friendly. HTMLX concepts3
- Like the interesting naming convention for elements1
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Cons of Flask
- Not JS10
- Context7
- Not fast5
- Don't has many module as in spring1
Cons of Polymer
- Last version is like 2 years ago? that's totally rad1
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