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Akka
Akka

463
372
+ 1
54
Flask
Flask

4.2K
3.3K
+ 1
1.1K
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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.

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.
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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.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
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.
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.
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Decisions about Akka and Flask
Pierre Chapuis
Pierre Chapuis
at Pierre Chapuis · | 5 upvotes · 52.8K views
atChilliChilli
Gunicorn
Gunicorn
Python
Python
SQLAlchemy
SQLAlchemy
Hug
Hug
Flask
Flask

Unlike our frontend, we chose Flask, a microframework, for our backend. We use it with Python 3 and Gunicorn.

One of the reasons was that I have significant experience with this framework. However, it also was a rather straightforward choice given that our backend almost only serves REST APIs, and that most of the work is talking to the database with SQLAlchemy .

We could have gone with something like Hug but it is kind of early. We might revisit that decision for new services later on.

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Praveen Mooli
Praveen Mooli
Technical Leader at Taylor and Francis · | 11 upvotes · 177.9K views
MongoDB Atlas
MongoDB Atlas
Amazon S3
Amazon S3
Amazon DynamoDB
Amazon DynamoDB
Amazon RDS
Amazon RDS
Serverless
Serverless
Docker
Docker
Terraform
Terraform
Travis CI
Travis CI
GitHub
GitHub
RxJS
RxJS
Angular 2
Angular 2
AWS Lambda
AWS Lambda
Amazon SQS
Amazon SQS
Amazon SNS
Amazon SNS
Amazon Kinesis Firehose
Amazon Kinesis Firehose
Amazon Kinesis
Amazon Kinesis
Flask
Flask
Python
Python
ExpressJS
ExpressJS
Node.js
Node.js
Spring Boot
Spring Boot
Java
Java
#Backend
#Microservices
#Eventsourcingframework
#Webapps
#Devops
#Data

We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.

To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas

To build #Webapps we decided to use Angular 2 with RxJS

#Devops - GitHub , Travis CI , Terraform , Docker , Serverless

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Interest over time
Reviews of Akka and Flask
Avatar of mjhea0
Software Engineer at TestDriven Labs
Review ofFlaskFlask

Flask is a light, yet powerful Python web framework perfect for quickly building smaller web applications. It's a "micro-framework" that's easy to learn and simple to use, so it's perfect for those new to web development as well as those looking to rapidly develop a web application.

How developers use Akka and Flask
Avatar of Jack Littleton
Jack Littleton uses FlaskFlask

I use Flask for times when I need to create a REST API that interfaces with other Python code, or there is no specific reason why I'd want to use Node.JS. I prefer Flask because of its small learning curve, allowing me to get started coding as quickly as possible

Avatar of Cloudify
Cloudify uses FlaskFlask

This lightweight web framework enables quick REST API development while enabling easy clustering, and the usage of multiple worker processes required to scale the REST API service to meet high volume requirements.

Avatar of papaver
papaver uses AkkaAkka

we used akka as our concurrency system at talenthouse. had the chance to write several worker. we used both akka messaging and rabbitmq to communicate. quite a slick system, was fun writing it in scala.

Avatar of fileee GmbH
fileee GmbH uses AkkaAkka

Akka powers our asynchronous document upload processor, handling e.g. tasks for OCR, thumbnail generation and document analysis.

Avatar of Sail Tactics
Sail Tactics uses FlaskFlask

Service to query NOAA weather forecasts data and service to build tidal current forecast maps using AWS EC2 and Geoserver

Avatar of OnlineCity
OnlineCity uses FlaskFlask

Flask drives our APIs, both the Website APIs and the majority of the REST Messaging APIs

Avatar of papaver
papaver uses FlaskFlask

used flask for a few personal projects. enjoyed its simplicity and ease of use.

How much does Akka cost?
How much does Flask cost?
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