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Flask vs Java: What are the differences?
Introduction
Flask and Java are two popular programming languages used for web development. While Flask is a micro web framework written in Python, Java is a general-purpose programming language often used for building enterprise-level web applications.
Scalability: One key difference between Flask and Java is their scalability. Flask is better suited for small to medium-sized applications, whereas Java excels in handling large-scale projects. Java's platform independence and robust multi-threading capabilities make it a preferred choice for applications with high traffic and complex business logic.
Ease of Learning: Flask is known for its simplicity and ease of learning. It has a minimalistic and intuitive syntax, making it accessible to beginners. On the other hand, Java has a steeper learning curve due to its extensive libraries and complex syntax. Java requires a solid understanding of object-oriented programming concepts, making it more suitable for experienced developers.
Performance: When it comes to performance, Java usually outperforms Flask. Java applications can be highly optimized and tuned for efficiency, resulting in faster execution times. Flask, while efficient, may not match the raw performance of Java in resource-intensive tasks or scenarios that require real-time processing.
Community and Ecosystem: Java has a vast and mature ecosystem with a strong backing from Oracle and a large community of developers. It offers a wide range of libraries, frameworks, and tools for various purposes, including web development. Flask also has an active community and a growing ecosystem, but it may not provide the same level of diversity and depth as Java.
Deployment and Hosting: Flask applications are relatively easy to deploy, especially when combined with lightweight servers like Gunicorn or uWSGI. Java applications, on the other hand, require a Java Virtual Machine (JVM) to run, which adds an additional layer of complexity to the deployment process. Java applications are commonly hosted on platforms like Apache Tomcat or Jetty.
Integration with Existing Systems: Java has excellent integration capabilities with existing systems and enterprise technologies, such as databases, messaging systems, and enterprise service buses. Its robustness and compatibility make it a preferred choice for developing enterprise-level applications that need to interact with multiple components. Flask, while versatile, may require additional configuration and development effort to achieve the same level of integration.
In summary, Flask is a lightweight and beginner-friendly web framework, ideal for small to medium-sized applications. Java, on the other hand, is a powerful and mature language suitable for large-scale projects with complex requirements and high performance needs.
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?
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.
Hi everyone.
I am willing to build a used car sales platform, which will have a lot of stock/photos and will rely a lot on the back end functions and data generating. Java seems to be a good choice, but what other options can I consider that can also be easily scalable as well as a little faster to write?
Thank you
Firstly, you must know that java and python are both amazing languages. But I recommend python mainly because of the variety of modules and packages available to do almost anything. If you are planning on adding graphs, you can use the matplotlib library and to add photos, use the pillow module. And just note that both of these aren't available by default, so you need to install them through pip.
Hi, Kamal! I don't know if your question is still relevant. But I would like to introduce you to our solution, perhaps it will be useful for future projects. We have developed a web application constructor that can be used to create almost any website or application https://falconspace.site/. The entire development stack is reduced to SQL only. The platform is easy to configure and make subsequent changes if necessary.
I am trying to make Roblox game which requires Lua. I quite don't want to go with Lua just because other tools just might let me do more projects later on. I heard that Python is most similar to Lua, but I am still not sure which tool to use. Java, I think it will help me with many stuff later on for websites, projects, and more!
Since you are trying to make a Roblox game, you have no other option than to use Lua, since Roblox only allows coding in Lua. Yes, you've heard right, Python is identical and as easy as Lua, although Lua is easier than Python. Beginning from Lua and then escalating to Python is recommended. Java is only helpful when you are creating a heavy, big-budget, enterprise-level product, otherwise, Python would suffice.
If you really hate lua check out roblox-ts, a tool that compiles typescript code into roblox lua. https://github.com/roblox-ts/roblox-ts
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.
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.
Hi everyone, I have just started to study web development, so I'm very new in this field. I would like to ask you which tools are most updated and good to use for getting a job in medium-big company. Front-end is basically not changing by time so much (as I understood by researching some info), so my question is about back-end tools. Which backend tools are most updated and requested by medium-big companies (I am searching for immediate job possibly)?
Thank you in advance Davit
Go with Python definetly. It's used everywhere by web developers for backend developments : API, website backend, workers... but also by data scientists (lot lot of resources, models and libraries in Python it's language #1). For the web parts, best web framework are in Python : https://stackshare.io/microframeworks (Flask #2 and Django #3). Java is good but trend is not great in terms of popularity amongs developers and tech leaders.
As per my experience java is most wanted for web development as of now. micro service is evolving . with frameworks like spring boot supports rapid development. Spring boot + Docker + kubernetes great combination.
I would recommend learning HTML, CSS, and JavaScript (most important). JavaScript forms the backbone of web development. And, there are many popular and widely used frameworks like Angular and React that heavily rely on the knowledge of JavaScript. The number of job opportunities are much more when it comes to javascript.
I would recommend Python as the programming language and as you are a new developer, Flask to start with. It gives you a solid understanding on the web patterns such as REST and will get you up and running in no time. However, I suggest you to read and study on front-end technologies like (React or Vue) and databases (SQL and NoSQL) and probably some NodeJS as well. First grasp the concepts (which Python is ideal for) then it does not really matter the language as such.
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.
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.
1 code deploys for both: Android and iOS. There is a huge community behind React Native. And one of the best things is Expo. Expo uses React Native to make everything even more and more simple. Awesome technologies. Some other important thing is that while using React Native, you are reusing all JavaScript knowledge you have in your team. You can move easily a frontend dev to develop mobile applications.
A huge PRO of Expo, is that it includes a full building process. You run 1 line in the terminal, and 10 minutes after you have 2 builds done. Double check EAS Expo.
C# and .Net were obvious choices for us at LiveTiles given our investment in the Microsoft ecosystem. It enabled us to harness of the .Net framework to build ASP.Net MVC, WebAPI, and Serverless applications very easily. Coupled with the high productivity of Visual Studio, it's the native tongue of Microsoft technology.
Node.js has been growing in popularity, and the ability to access the global pool of Javascript developers is great. There is a decreased amount of effort for people to work across the frontend and backend, and the language itself is easy and works well for many common use cases.
Go was the other serious candidate, but it just hasn't been implemented in as many Production systems yet, and the best Go engineers I've known have been hackers, whereas we're building a robust analytics platform that requires more caution. Type safety is easily added with TypeScript, and NPM is awesomely handy.
When developing a new blockchain, we as a team chose Go lang over Java and other candidates, due to Go being (a) natively suited to concurrency - there are primitives in the language itself (goroutines, channels) that really help with reasoning about concurrency (b) super fast - build time, running, testing are all much faster that Java, this gives a far superior developer experience (c) shorter and stricter than Java - code is much shorter (less verbose), and there is usually one good way to do things, and even the code formatter that is bundled with Go is very opinionated - over a short time this makes reading other people's code far smoother than having to deal with different styles.
You should be aware that Go presently (v1.13) lacks Generics.
From cross platform development point of view: Using kotlin multiplatform is more convenient than java for implementing cross platform code, since it can be converted to be used in iOS (swift) projects, and it can be easily learned if you already know swift. It still an experimental feature but it helped so far to unify a lot of the common code between our iOS and Android projects. And it is more future proof than java regarding support and maintain multiplatform converting.
We needed to incorporate Big Data Framework for data stream analysis, specifically Apache Spark / Apache Storm. The three options of languages were most suitable for the job - Python, Java, Scala.
The winner was Python for the top of the class, high-performance data analysis libraries (NumPy, Pandas) written in C, quick learning curve, quick prototyping allowance, and a great connection with other future tools for machine learning as Tensorflow.
The whole code was shorter & more readable which made it easier to develop and maintain.
The decision behind choosing a server side technology is never an easy one. Every single language has it's pro's and con's around each.
For me, this decision came down to a couple simple points: 1. Node is a web tech first class citizen, designed around handling web events, in a web technology world 2. Asynchronous
The thing about Python and Java is that they TOO can handle these, and handle these very well. Java for instance powers most of Twitter and Netflix's architecture. Where Python is what's behind giants like Instagram and Patreon. Certainly, you can't go wrong. Heck, Ruby powered GitHub and GitLab, and those things see HUGE traffic.
But this project is a web technology first. And node feels right at home as it itself is a web technology. This decision was more about homogeneous synergy than most anything else. I need it to be screaming fast, asynchronous, and play extremely well with web standards.
Node fits the bill on every front.
I work at Stream and I'm immensely proud of what our team is working on here at the company. Most recently, we announced our Android SDK accompanied by an extensive tutorial for Java and Kotlin. The tutorial covers just about everything you need to know when it comes to using our Android SDK for Stream Chat. The Android SDK touches many features offered by Stream Chat – more specifically, typing status, read state, file uploads, threads, reactions, editing messages, and commands. Head over to https://getstream.io/tutorials/android-chat/ and give it a whirl!
Pros of Flask
- For it flexibility10
- Flexibilty and easy to use9
- Flask8
- User friendly7
- Secured6
- Unopinionated5
- Secure2
- Customizable1
- Simple to use1
- Powerful1
- Rapid development1
- Beautiful code1
- Easy to develop and maintain applications1
- Easy to setup and get it going1
- Easy to use1
- Documentation1
- Python1
- Minimal1
- Lightweight1
- Easy to get started1
- Orm1
- Not JS1
- Perfect for small to large projects with superb docs.1
- Easy to integrate1
- Speed1
- Get started quickly1
- Open source0
- Well designed0
- Flexibilty0
- Productive0
- Awesome0
- Expressive0
- Love it0
Pros of Java
- Great libraries601
- Widely used445
- Excellent tooling400
- Huge amount of documentation available395
- Large pool of developers available334
- Open source208
- Excellent performance203
- Great development158
- Used for android150
- Vast array of 3rd party libraries148
- Compiled Language60
- Used for Web52
- High Performance46
- Managed memory46
- Native threads44
- Statically typed43
- Easy to read35
- Great Community33
- Reliable platform29
- Sturdy garbage collection24
- JVM compatibility24
- Cross Platform Enterprise Integration22
- Universal platform20
- Good amount of APIs20
- Great Support18
- Great ecosystem14
- Lots of boilerplate11
- Backward compatible11
- Everywhere10
- Excellent SDK - JDK9
- Static typing7
- Cross-platform7
- It's Java7
- Mature language thus stable systems6
- Better than Ruby6
- Long term language6
- Portability6
- Clojure5
- Used for Android development5
- Vast Collections Library5
- Best martial for design4
- Most developers favorite4
- Old tech4
- Javadoc3
- History3
- Testable3
- Great Structure3
- Stable platform, which many new languages depend on3
- Type Safe2
- Faster than python2
- Job0
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Cons of Flask
- Not JS10
- Context7
- Not fast5
- Don't has many module as in spring1
Cons of Java
- Verbosity33
- NullpointerException27
- Nightmare to Write17
- Overcomplexity is praised in community culture16
- Boiler plate code12
- Classpath hell prior to Java 98
- No REPL6
- No property4
- Code are too long3
- Non-intuitive generic implementation2
- There is not optional parameter2
- Floating-point errors2
- Java's too statically, stronglly, and strictly typed1
- Returning Wildcard Types1
- Terrbible compared to Python/Batch Perormence1