Flask vs Nameko

Overview

Flask

Stacks19.3K

Followers16.2K

Votes60

Nameko

Stacks20

Followers79

Votes0

GitHub Stars4.8K

Forks468

Flask vs Nameko: What are the differences?

Routing and Web Framework: One key difference between Flask and Nameko is that Flask is a micro web framework primarily used for web development, while Nameko is a microservices framework used for building microservices. Flask is designed to handle HTTP requests and responses, allowing developers to create web applications, APIs, and more. On the other hand, Nameko focuses on distributed systems and communication between microservices through messaging.
Programming Paradigm: Another important difference is in the programming paradigm used by each framework. Flask follows a traditional synchronous programming model, where requests are handled sequentially, and the server waits for each request to be processed before moving on to the next. In contrast, Nameko is built on top of an event-driven architecture, implementing microservices as independent, asynchronous components that communicate through events.
Complexity and Scalability: Flask is known for its simplicity and ease of use, making it a great choice for small to medium-sized web applications. However, when it comes to larger and more complex projects that require scalability, Nameko's support for distributed systems and microservices architecture shines. Nameko provides tools and patterns that enable developers to build scalable systems that can handle high loads and complex interactions between services.
Community and Ecosystem: Flask has a large and active community of developers and contributors, supported by a wide range of extensions and libraries that enhance its functionality. Nameko, being a more specialized framework, has a smaller community but is dedicated to the world of microservices and distributed systems. Developers working on microservices architectures may find Nameko to be a better fit due to its specific focus and support for building resilient, distributed systems.
Error Handling and Fault Tolerance: In terms of error handling and fault tolerance, Nameko provides built-in support for handling failures and recovering from errors in distributed systems. It offers mechanisms for retrying failed operations, managing timeouts, and implementing circuit breakers to prevent cascading failures. Flask, while capable of handling errors, may require additional plugins or custom implementations to achieve the same level of fault tolerance in distributed environments.
Integration with External Systems: Nameko offers seamless integration with message brokers like RabbitMQ, allowing for easy communication between microservices through events and messaging. On the other hand, Flask can also integrate with message brokers and external systems, but its primary focus is on handling HTTP requests and responses for web applications. When it comes to building complex distributed systems with multiple interconnected services, Nameko's integration capabilities and messaging support make it a preferred choice.

In Summary, Flask and Nameko differ in their primary focuses on web development and microservices, programming paradigms, scalability and complexity, community support, fault tolerance mechanisms, and integration capabilities with external systems.

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Advice on Flask, Nameko

Kristan Eres

Senior Solutions Analyst

Jul 30, 2020

Needs adviceon

Django

Python

Flask

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

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

Software Engineer at FireVisor Systems

Apr 17, 2020

Needs adviceon

Python

Nameko

RabbitMQ

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	Nameko
Flask is intended for getting started very quickly and was developed with best intentions in mind.	Python microservices framework that leverages AMQP for RPC. It supports asynchronous and synchronous events.
-	Focus on business logic; Distributed and scalable; Extensible
Statistics
GitHub Stars -	GitHub Stars 4.8K
GitHub Forks -	GitHub Forks 468
Stacks 19.3K	Stacks 20
Followers 16.2K	Followers 79
Votes 60	Votes 0
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	No community feedback yet
Integrations
No integrations available	Django Slack Python Redis Sentry SQLAlchemy

What are some alternatives to Flask, Nameko?

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

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

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

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 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 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 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 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

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.

Related Comparisons

Flask vs Nameko: What are the differences?

Routing and Web Framework: One key difference between Flask and Nameko is that Flask is a micro web framework primarily used for web development, while Nameko is a microservices framework used for building microservices. Flask is designed to handle HTTP requests and responses, allowing developers to create web applications, APIs, and more. On the other hand, Nameko focuses on distributed systems and communication between microservices through messaging.
Programming Paradigm: Another important difference is in the programming paradigm used by each framework. Flask follows a traditional synchronous programming model, where requests are handled sequentially, and the server waits for each request to be processed before moving on to the next. In contrast, Nameko is built on top of an event-driven architecture, implementing microservices as independent, asynchronous components that communicate through events.
Complexity and Scalability: Flask is known for its simplicity and ease of use, making it a great choice for small to medium-sized web applications. However, when it comes to larger and more complex projects that require scalability, Nameko's support for distributed systems and microservices architecture shines. Nameko provides tools and patterns that enable developers to build scalable systems that can handle high loads and complex interactions between services.
Community and Ecosystem: Flask has a large and active community of developers and contributors, supported by a wide range of extensions and libraries that enhance its functionality. Nameko, being a more specialized framework, has a smaller community but is dedicated to the world of microservices and distributed systems. Developers working on microservices architectures may find Nameko to be a better fit due to its specific focus and support for building resilient, distributed systems.
Error Handling and Fault Tolerance: In terms of error handling and fault tolerance, Nameko provides built-in support for handling failures and recovering from errors in distributed systems. It offers mechanisms for retrying failed operations, managing timeouts, and implementing circuit breakers to prevent cascading failures. Flask, while capable of handling errors, may require additional plugins or custom implementations to achieve the same level of fault tolerance in distributed environments.
Integration with External Systems: Nameko offers seamless integration with message brokers like RabbitMQ, allowing for easy communication between microservices through events and messaging. On the other hand, Flask can also integrate with message brokers and external systems, but its primary focus is on handling HTTP requests and responses for web applications. When it comes to building complex distributed systems with multiple interconnected services, Nameko's integration capabilities and messaging support make it a preferred choice.

Flask vs Nameko

Overview