Flask vs Phalcon: What are the differences?
Developers describe Flask as "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. On the other hand, Phalcon is detailed as "Web framework delivered as a C-extension for PHP". Phalcon is a web framework implemented as a C extension offering high performance and lower resource consumption.
Flask belongs to "Microframeworks (Backend)" category of the tech stack, while Phalcon can be primarily classified under "Frameworks (Full Stack)".
"Lightweight" is the primary reason why developers consider Flask over the competitors, whereas "Fast" was stated as the key factor in picking Phalcon.
Flask and Phalcon are both open source tools. It seems that Flask with 44.8K GitHub stars and 12.6K forks on GitHub has more adoption than Phalcon with 9.71K GitHub stars and 1.77K GitHub forks.
According to the StackShare community, Flask has a broader approval, being mentioned in 502 company stacks & 509 developers stacks; compared to Phalcon, which is listed in 28 company stacks and 13 developer stacks.
What is Flask?
What is Phalcon?
Need advice about which tool to choose?Ask the StackShare community!
Sign up to add, upvote and see more prosMake informed product decisions
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions
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.
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
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.
'm a professional web developer from Vietnam with B.S Physics and Engineering. I'm a Phalcon enthusiast as Opensource. In free time, I was support on forum Phalcon also my forum and contribution core Phalcon.
I think precompiled PHP is the way to go. It saves CPU cycles, RAM and overall I/O. It saves money too. Smaller requirements = smaller bills.
I've tried symfony and zend. Phalcon was easiest to use.
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
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.
Service to query NOAA weather forecasts data and service to build tidal current forecast maps using AWS EC2 and Geoserver
Flask drives our APIs, both the Website APIs and the majority of the REST Messaging APIs