Android SDK vs Flask: What are the differences?
What is Android SDK? An SDK that provides you the API libraries and developer tools necessary to build, test, and debug apps for Android. Android provides a rich application framework that allows you to build innovative apps and games for mobile devices in a Java language environment.
What is 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.
Android SDK belongs to "Frameworks (Full Stack)" category of the tech stack, while Flask can be primarily classified under "Microframeworks (Backend)".
"Android development", "Necessary for android" and "Android studio" are the key factors why developers consider Android SDK; whereas "Lightweight", "Python" and "Minimal" are the primary reasons why Flask is favored.
Flask is an open source tool with 44.8K GitHub stars and 12.6K GitHub forks. Here's a link to Flask's open source repository on GitHub.
According to the StackShare community, Android SDK has a broader approval, being mentioned in 1071 company stacks & 878 developers stacks; compared to Flask, which is listed in 502 company stacks and 509 developer stacks.
What is Android SDK?
What is Flask?
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When we first built the ArifZefen app our focus was around validating our business assumptions and finding a good product fit. Once we got to a few thousand users, it became clear that we needed to make quality a priority and that meant we needed a reliable tool that will allow us to monitor the health of our app. Crashlytics (now Fabric by Twitter ) was on a short list of solutions we closely explored and we were very happy with its ease of integration and the consistency it brought to our Cocoa Touch (iOS) and Android SDK crash monitoring.
Its daily pulse emails were also super informative in giving us a good sense of how each platform was doing in terms of crash-free and new users, daily actives and other relevant session data. These emails also surfaced any anomalies in daily trends, alerting us of any reason for concern. Overall, Crashlytics was instrumental in allowing us to quickly discover and diagnose crashes and it is one of the main reasons we were able to keep our app store ratings reasonable high. But perhaps even more importantly, we were able to set a high quality bar for our users that absent Crashlytics would have been difficult to maintain.
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.
So we very, very early on, we were iOS only, then we thought, well we’re missing out on half of the market. We need to add Android. So we had a friend of ours start working on the Android app, and I had to build the API for him, but I was having a really hard time doing that because I didn’t know what he needed exactly, so I built the first version of the web store over the weekend because I wanted to have a client to consume myself for the API I was building.
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.
Self taught : acquired knowledge or skill on one's own initiative. Unity and app compatible porposes : software development kit that enables developers to create applications for the Android platform.
The Android SDK is the key-component of all Android-based development and had to be included in this stack for sure. We work with the SDK through IntelliJ IDEA and the command-line.
last time i used the android sdk was converting the tiktok app to ios. what a mess it was back then. the developer nature of the sdk was apparent vs apples offering.
Uso del Android SDK para el desarrollo de aplicaciones para Android con geolocalización, multimedia y almacenamiento en la base de datos.
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