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  1. Stackups
  2. Utilities
  3. API Tools
  4. Microservices Tools
  5. Nameko vs goa

Nameko vs goa

OverviewDecisionsComparisonAlternatives

Overview

goa
goa
Stacks16
Followers42
Votes0
GitHub Stars6.0K
Forks575
Nameko
Nameko
Stacks20
Followers79
Votes0
GitHub Stars4.8K
Forks468

goa vs Nameko: What are the differences?

goa: A design driven approach for building microservices in Go. goa is a framework for building microservices in Go using a unique design-first approach. goa provides a novel approach for developing microservices that saves time when working on independent services and helps with keeping the overall system consistent; Nameko: Python microservices framework. Python microservices framework that leverages AMQP for RPC. It supports asynchronous and synchronous events.

goa belongs to "Microservices Tools" category of the tech stack, while Nameko can be primarily classified under "Microframeworks (Backend)".

Some of the features offered by goa are:

  • Creating a service with goa starts with the design. The goa DSL lets you describe the global properties, types and endpoints that make up the service API. The apidsl package docs provides a quick reference to all the DSL functions.
  • Once the design of the API is in place goagen generates the corresponding data structures, validation code and handlers. Handlers are defined as interface methods. Implementing the service is thus as simple as implementing the generated interfaces.
  • The best part about the goa DSL is that the engine is completely decoupled. Plugins can implement custom DSLs to extend the concepts described in the design. Plugins can also generate arbitrary outputs.

On the other hand, Nameko provides the following key features:

  • Focus on business logic
  • Distributed and scalable
  • Extensible

goa and Nameko are both open source tools. It seems that goa with 3.52K GitHub stars and 399 forks on GitHub has more adoption than Nameko with 2.98K GitHub stars and 290 GitHub forks.

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Advice on goa, Nameko

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

goa
goa
Nameko
Nameko

goa is a framework for building microservices in Go using a unique design-first approach. goa provides a novel approach for developing microservices that saves time when working on independent services and helps with keeping the overall system consistent.

Python microservices framework that leverages AMQP for RPC. It supports asynchronous and synchronous events.

Creating a service with goa starts with the design. The goa DSL lets you describe the global properties, types and endpoints that make up the service API. The apidsl package docs provides a quick reference to all the DSL functions.;Once the design of the API is in place goagen generates the corresponding data structures, validation code and handlers. Handlers are defined as interface methods. Implementing the service is thus as simple as implementing the generated interfaces.;The best part about the goa DSL is that the engine is completely decoupled. Plugins can implement custom DSLs to extend the concepts described in the design. Plugins can also generate arbitrary outputs.
Focus on business logic; Distributed and scalable; Extensible
Statistics
GitHub Stars
6.0K
GitHub Stars
4.8K
GitHub Forks
575
GitHub Forks
468
Stacks
16
Stacks
20
Followers
42
Followers
79
Votes
0
Votes
0
Integrations
Golang
Golang
Django
Django
Slack
Slack
Python
Python
Redis
Redis
Sentry
Sentry
SQLAlchemy
SQLAlchemy

What are some alternatives to goa, Nameko?

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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