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Akka

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Akka vs Flask: What are the differences?

Akka: Build powerful concurrent & distributed applications more easily. Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM; Flask: a microframework for Python based on Werkzeug, Jinja 2 and good intentions. Flask is intended for getting started very quickly and was developed with best intentions in mind.

Akka and Flask are primarily classified as "Concurrency Frameworks" and "Microframeworks (Backend)" tools respectively.

"Great concurrency model" is the top reason why over 22 developers like Akka, while over 261 developers mention "Lightweight" as the leading cause for choosing Flask.

Akka and Flask are both open source tools. Flask with 45.2K GitHub stars and 12.7K forks on GitHub appears to be more popular than Akka with 10.1K GitHub stars and 3.04K GitHub forks.

Netflix, reddit, and Lyft are some of the popular companies that use Flask, whereas Akka is used by Asana, Rainist, and ContentSquare. Flask has a broader approval, being mentioned in 511 company stacks & 531 developers stacks; compared to Akka, which is listed in 76 company stacks and 57 developer stacks.

Advice on Akka and Flask
kristan-dev
Senior Solutions Analyst · | 8 upvotes · 381.4K 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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Rafael Torres
Technical Lead at 4Agile · | 9 upvotes · 371.5K 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 · 302.3K 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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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 · 326.8K 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 Akka
Pros of Flask
  • 32
    Great concurrency model
  • 17
    Fast
  • 12
    Actor Library
  • 10
    Open source
  • 7
    Resilient
  • 5
    Message driven
  • 5
    Scalable
  • 10
    For it flexibility
  • 9
    Flexibilty and easy to use
  • 7
    User friendly
  • 6
    Secured
  • 5
    Unopinionated
  • 2
    Secure
  • 2
    Customizable
  • 1
    Simple to use
  • 1
    Powerful
  • 1
    Rapid development
  • 1
    Flask
  • 1
    Easy to get started
  • 1
    Easy to develop and maintain applications
  • 1
    Easy to setup and get it going
  • 1
    Easy to use
  • 1
    Documentation
  • 1
    Beautiful code
  • 1
    Orm
  • 1
    Not JS
  • 1
    Perfect for small to large projects with superb docs.
  • 1
    Easy to integrate
  • 1
    Speed
  • 1
    Get started quickly
  • 1
    Python
  • 1
    Minimal
  • 1
    Lightweight
  • 0
    Flexibilty
  • 0
    Well designed
  • 0
    Productive
  • 0
    Awesome
  • 0
    Open source
  • 0
    Expressive
  • 0
    Love it

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Cons of Akka
Cons of Flask
  • 3
    Mixing futures with Akka tell is difficult
  • 2
    Closing of futures
  • 2
    No type safety
  • 1
    Very difficult to refactor
  • 1
    Typed actors still not stable
  • 10
    Not JS
  • 7
    Context
  • 5
    Not fast
  • 1
    Don't has many module as in spring

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What is Akka?

Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.

What is Flask?

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

Need advice about which tool to choose?Ask the StackShare community!

Jobs that mention Akka and Flask as a desired skillset
What companies use Akka?
What companies use Flask?
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What tools integrate with Akka?
What tools integrate with Flask?

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What are some alternatives to Akka and Flask?
Spring
A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.
Scala
Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.
Erlang
Some of Erlang's uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Spring Boot
Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.
See all alternatives