Python vs Ruby vs Swift

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Python

128.9K
103.1K
+ 1
6.4K
Ruby

23.1K
14.7K
+ 1
3.9K
Swift

12.1K
8.5K
+ 1
1.2K
Advice on Python, Ruby, and Swift
Needs advice
on
Python
JavaScript
and
Java

I'm making my university community web service with a team. (6 members myself included)

And we decided to use JavaScript, HTML, CSS (for sure, it's the basic of websites) but couldn't decide for the back end part.

There are tons of languages, tools, etc., but I'm really new to programming, so I'd like to get some help to figure out what tools we need.

So my question is this: are there any good examples of web community services we can mimic the tools or get an insight from them?

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Replies (6)
Recommends
Python
Django

Since you're following Python, I would recomend using Django as your main back-end language. If you know Python it would be a great experience. Django is well documented on their official website: https://www.djangoproject.com/ I would also use React for front-end as well. Also this article is worth reading, I think progressive web app is something worth learning these days: https://web.dev/progressive-web-apps/ Hope that helps :)

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Since your team is already using JavaScript, there's a great number of examples for backend services written with NodeJS. I'd recommend using Firebase, or any backend as a service (you can use that term to find alternatives), for setting up your backend as it is much easier for newer people to understand and lets you focus on your core application logic, and not provisioning servers, databases, etc.

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anas mattar
Technical Lead at DPO International · | 2 upvotes · 187 views
Recommends
JavaScript

Since you're team is already using JavaScript, there are alot of examples and open source projects written with NodeJs, so I preffer this language in your backend application and also I am recommended using Mongo DB with It for saving data in it, and also for your frontend application I am recommanded using VueJs.

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Jamal Abdinasir
Product manager at abdinasirjamal171@gmail.com · | 1 upvotes · 593 views
Recommends

Kindly I don't find any help that solve this mystery I need more help if it will happen

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Hüseyin Özkılıç
Senior Full-Stack Developer at RADSoft · | 1 upvotes · 181 views

Make it simple, most of projects doesnt need a AI, ML or big algorithms. If your project just serving end users take it to the web ready compatible. (Javascript, .Net, PHP Laravel)

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Nash Nziramasanga
Software Developer at Billow Software · | 1 upvotes · 188 views

Since you are already using JavaScript on the front end it would be easy to adopt the MERN (MongoDB, Express, React, NodeJS) stack which s all javascript based making it easy to transfer knowledge with the backend and front end

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View all (6)
Needs advice
on
Python
JavaScript
and
C++

Hello, I am interested in learning how to program. I am a beginner, and many articles saying I should go with Python if I am new to programming. I considered Lua a long time ago, but for my career, I believe major programming languages should be better for me. I'm considering Python at this moment, but if you have other tools I should use, let me know.

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Replies (1)
Recommends
Java
C#
C++
C

The language you choose is also dependant on the type of career / area of programming you wish to focus on: Web Based and mobile applicaitons I would lean towards Java, PC Applications I tend to like C#, Embedded industry C, C++

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Brayden W
Needs advice
on
Rust
Python
and
Go

Hey, 👋

My name is Brayden. I’m currently a Frontend React Developer, striving to move into Fullstack so I can expand my knowledge.

For my main backend language, I am deciding between Python, Rust, and Go. I’ve tried each of them out for about an hour and currently, I like Python and Rust the most. However, I’m not sure if I’m missing out on something!

If anyone has advice on these technologies, I’d love to hear it!

Thanks.

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Replies (4)
Recommends
Python
Go

Rust is still in low demand. It's a great language but you'll have a hard time finding jobs. Go is the mix of both Rust and Python. Great language with modern features, fast, scalable, fun to write, and at the same time it has high demand (not as much as python).

Python on the other hand is a language that you can't go wrong with. Look around you and see what your job market prefers. If there isn't much difference to you personally, pick the one with more demand.

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Recommends
Python
Node.js
Go

All of these are solid options, however considering your expertise currently, I would probably suggest Node.JS considering your past experience with JS. However Python offers a similar development environment to JS in my opinion, and Go is a good sort of intermediate between Rust and Node.JS and Python. It's fast, but not as fast as Rust, and offers a development experience that combines C-styled languages (like Rust), and Python-y languages... So: Rust for the fastest, Node for familiarity, Python for ease of development, and Go for a good middle ground. I have used all in personal projects... If you use Go, I suggest a easy to use web server framework like Fiber.

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Akihito KIRISAKI
Recommends
Rust
Python

Rust is a challenging choice, but worth to be chosen. It has strong memory-safety and type-safety, this gives you no bother about those errors. However, static typing languages often slow our developing speed down in early stage. In that case, it's effective to write prototype in an easy language like Python, and rewrite it in a hard language. It's important not to be afraid to throw away first code you write.

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Donald Tran
Software Engineer at T-Mobile · | 3 upvotes · 29.3K views
Recommends
Rust

The other answers are excellent, but I want to be a bit of a contrarian and say you should learn Rust. While the number of jobs for it are (relatively) low(er), it is certainly expanding and you'd be surprised at which companies do use Rust (Discord, for example, is starting to move away from Golang to Rust!).

But the main reason is that learning Rust itself will teach you a lot about systems design (/backend) because of its borrow checker. You can try out a lot of ideas and make a lot mistakes and the borrow checker will always be there guide you to a better solution (thereby teaching you in the process).

Also, I wouldn't underestimated how important managing memory (and memory safety) is. While Golang is great in some ways, it doesn't protect you from pushing memory leaks into production. And eventually you'll come upon a scenario where you'll have to make your Python code run faster and the optimizations you'd have to do won't look pretty (or be very Pythontic).

And Rust is freakin fast! If you have Rust, you wouldn't need any other language for the backend (or any other systems level code). Check this blog post: https://blog.discord.com/why-discord-is-switching-from-go-to-rust-a190bbca2b1f?gi=dd8bc5d669d. Discord found that even after spending months optimizing Golang code it still wasn't fast enough. But unoptimized, first-draft Rust code was (is) faster by an order of magnitude!

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View all (4)
Decisions about Python, Ruby, and Swift

Python has become the most popular language for machine learning right now since almost all machine learning tools provide service for this language, and it is really to use since it has many build-in objects like Hashtable. In C, you need to implement everything by yourself.

C++ is one of the most popular programming languages in graphics. It has many fancy libraries like eigen to help us process matrix. I have many previous projects about graphics based on C++ and this time, we also need to deal with graphics since we need to analyze movements of the human body. C++ has much more advantages than Java. C++ uses only compiler, whereas Java uses compiler and interpreter in both. C++ supports both operator overloading and method overloading whereas Java only supports method overloading. C++ supports manual object management with the help of new and delete keywords whereas Java has built-in automatic garbage collection.

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Kirill Mikhailov

Go is a way faster than both Python and PHP, which is pretty understandable, but we were amazed at how good we adapted to use it. Go was a blessing for a team , since strict typing is making it very easy to develop and control everything inside team, so the quality was really good. We made huge leap forward in dev speed because of it.

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Chose
Python
over
Scala

I am working in the domain of big data and machine learning. I am helping companies with bringing their machine learning models to the production. In many projects there is a tendency to port Python, PySpark code to Scala and Scala Spark.

This yields to longer time to market and a lot of mistakes due to necessity to understand and re-write the code. Also many libraries/apis that data scientists/machine learning practitioners use are not available in jvm ecosystem.

Simply, refactoring (if necessary) and organising the code of the data scientists by following best practices of software development is less error prone and faster comparing to re-write in Scala.

Pipeline orchestration tools such as Luigi/Airflow is python native and fits well to this picture.

I have heard some arguments against Python such as, it is slow, or it is hard to maintain due to its dynamically typed language. However cost/benefit of time consumed porting python code to java/scala alone would be enough as a counter-argument. ML pipelines rarerly contains a lot of code (if that is not the case, such as complex domain and significant amount of code, then scala would be a better fit).

In terms of performance, I did not see any issues with Python. It is not the fastest runtime around but ML applications are rarely time-critical (majority of them is batch based).

I still prefer Scala for developing APIs and for applications where the domain contains complex logic.

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Pros of Python
Pros of Ruby
Pros of Swift
  • 1.1K
    Great libraries
  • 926
    Readable code
  • 816
    Beautiful code
  • 766
    Rapid development
  • 670
    Large community
  • 416
    Open source
  • 378
    Elegant
  • 267
    Great community
  • 260
    Object oriented
  • 208
    Dynamic typing
  • 69
    Great standard library
  • 51
    Very fast
  • 47
    Functional programming
  • 34
    Scientific computing
  • 32
    Easy to learn
  • 29
    Great documentation
  • 25
    Matlab alternative
  • 22
    Productivity
  • 21
    Easy to read
  • 19
    Simple is better than complex
  • 17
    Imperative
  • 17
    It's the way I think
  • 15
    Very programmer and non-programmer friendly
  • 14
    Powerful
  • 14
    Free
  • 13
    Powerfull language
  • 13
    Fast and simple
  • 12
    Scripting
  • 9
    Machine learning support
  • 9
    Explicit is better than implicit
  • 8
    Unlimited power
  • 8
    Ease of development
  • 7
    Clear and easy and powerfull
  • 7
    Import antigravity
  • 6
    Print "life is short, use python"
  • 6
    It's lean and fun to code
  • 5
    Fast coding and good for competitions
  • 5
    There should be one-- and preferably only one --obvious
  • 5
    Python has great libraries for data processing
  • 5
    High Documented language
  • 5
    I love snakes
  • 5
    Although practicality beats purity
  • 5
    Flat is better than nested
  • 5
    Great for tooling
  • 4
    Readability counts
  • 3
    Great for analytics
  • 3
    Complex is better than complicated
  • 3
    Multiple Inheritence
  • 3
    Beautiful is better than ugly
  • 3
    CG industry needs
  • 3
    Plotting
  • 3
    Lists, tuples, dictionaries
  • 3
    Rapid Prototyping
  • 3
    Socially engaged community
  • 2
    List comprehensions
  • 2
    Generators
  • 2
    Easy to learn and use
  • 2
    Special cases aren't special enough to break the rules
  • 2
    Now is better than never
  • 2
    If the implementation is hard to explain, it's a bad id
  • 2
    If the implementation is easy to explain, it may be a g
  • 2
    Simple and easy to learn
  • 2
    Import this
  • 2
    No cruft
  • 1
    Good
  • 1
    Web scraping
  • 1
    Ys
  • 1
    Powerful language for AI
  • 1
    Should START with this but not STICK with This
  • 1
    Because of Netflix
  • 1
    A-to-Z
  • 1
    Only one way to do it
  • 1
    Many types of collections
  • 1
    Flexible and easy
  • 1
    Better outcome
  • 1
    Batteries included
  • 1
    Pip install everything
  • 1
    It is Very easy , simple and will you be love programmi
  • 1
    Easy to setup and run smooth
  • 0
    Powerful
  • 0
    Pro
  • 600
    Programme friendly
  • 533
    Quick to develop
  • 488
    Great community
  • 467
    Productivity
  • 430
    Simplicity
  • 272
    Open source
  • 234
    Meta-programming
  • 203
    Powerful
  • 157
    Blocks
  • 138
    Powerful one-liners
  • 65
    Flexible
  • 56
    Easy to learn
  • 48
    Easy to start
  • 40
    Maintainability
  • 36
    Lambdas
  • 30
    Procs
  • 19
    Diverse web frameworks
  • 19
    Fun to write
  • 11
    Reads like English
  • 8
    Rails
  • 8
    Makes me smarter and happier
  • 7
    Elegant syntax
  • 6
    Very Dynamic
  • 5
    Programmer happiness
  • 5
    Matz
  • 4
    Generally fun but makes you wanna cry sometimes
  • 4
    Fun and useful
  • 3
    Friendly
  • 3
    Object Oriented
  • 3
    There are so many ways to make it do what you want
  • 2
    Easy packaging and modules
  • 2
    Primitive types can be tampered with
  • 2
    Elegant code
  • 251
    Ios
  • 176
    Elegant
  • 124
    Not Objective-C
  • 105
    Backed by apple
  • 91
    Type inference
  • 60
    Generics
  • 54
    Playgrounds
  • 49
    Semicolon free
  • 39
    OSX
  • 35
    Tuples offer compound variables
  • 23
    Clean Syntax
  • 23
    Easy to learn
  • 21
    Open Source
  • 20
    Functional
  • 19
    Beautiful Code
  • 11
    Linux
  • 11
    Dynamic
  • 10
    Promotes safe, readable code
  • 9
    Protocol-oriented programming
  • 8
    No S-l-o-w JVM
  • 8
    Explicit optionals
  • 6
    Storyboard designer
  • 5
    Best UI concept
  • 5
    Type safety
  • 5
    Super addicting language, great people, open, elegant
  • 5
    Optionals
  • 4
    Powerful
  • 4
    Fail-safe
  • 4
    Highly Readable codes
  • 4
    Faster and looks better
  • 4
    Swift is faster than Objective-C
  • 4
    Feels like a better C++
  • 4
    Its friendly
  • 3
    Strong Type safety
  • 3
    Easy to learn and work
  • 3
    Much more fun
  • 3
    Protocol extensions
  • 3
    Native
  • 3
    Its fun and damn fast
  • 3
    Easy to Maintain
  • 2
    Esay
  • 2
    MacOS
  • 2
    Type Safe
  • 2
    All Cons C# and Java Swift Already has
  • 2
    Protocol oriented programming
  • 2
    Protocol as type
  • 1
    Actually don't have to own a mac
  • 1
    Can interface with C easily
  • 1
    Numbers with underbar
  • 1
    Optional chain
  • 1
    Runs Python 8 times faster
  • 1
    Free from Memory Leak
  • 1
    Swift is easier to understand for non-iOS developers.
  • 1
    Great for Multi-Threaded Programming
  • 1
    Objec

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Cons of Python
Cons of Ruby
Cons of Swift
  • 49
    Still divided between python 2 and python 3
  • 26
    Performance impact
  • 26
    Poor syntax for anonymous functions
  • 19
    GIL
  • 19
    Package management is a mess
  • 13
    Too imperative-oriented
  • 12
    Hard to understand
  • 11
    Dynamic typing
  • 8
    Not everything is expression
  • 8
    Very slow
  • 7
    Explicit self parameter in methods
  • 7
    Indentations matter a lot
  • 6
    Requires C functions for dynamic modules
  • 6
    Poor DSL capabilities
  • 6
    No anonymous functions
  • 5
    The "lisp style" whitespaces
  • 5
    Hard to obfuscate
  • 4
    The benevolent-dictator-for-life quit
  • 4
    Lack of Syntax Sugar leads to "the pyramid of doom"
  • 4
    Threading
  • 4
    Fake object-oriented programming
  • 4
    Incredibly slow
  • 3
    Not suitable for autocomplete
  • 3
    Circular import
  • 3
    Official documentation is unclear.
  • 1
    Training wheels (forced indentation)
  • 1
    Meta classes
  • 7
    Memory hog
  • 7
    Really slow if you're not really careful
  • 3
    Nested Blocks can make code unreadable
  • 2
    Encouraging imperative programming
  • 1
    Ambiguous Syntax, such as function parentheses
  • 4
    Must own a mac
  • 2
    Memory leaks are not uncommon
  • 1
    Its classes compile to roughly 300 lines of assembly
  • 1
    Complicated process for exporting modules
  • 1
    Very irritatingly picky about things that’s
  • 1
    Is a lot more effort than lua to make simple functions
  • 0
    Overly complex options makes it easy to create bad code

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What is Python?

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

What is Ruby?

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

What is Swift?

Writing code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift is ready for your next iOS and OS X project — or for addition into your current app — because Swift code works side-by-side with Objective-C.

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What companies use Ruby?
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What are some alternatives to Python, Ruby, and Swift?
Java
Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!
R Language
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
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.
Anaconda
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
See all alternatives
Reviews of Python, Ruby, and Swift
Software Development Consultan at MLSDev Inc.
Review of
Swift

The performance of Swift is almost the same as that of C++, which is considered the fastest in algorithm calculation arithmetics. Apple had this idea in mind and worked to improve the speed of Swift. For example, Swift 2.0 has beaten C++ in several computation algorithms, such as Mandelbrot algorithm. Objective-C is slower because it contains C API legacy.

Swift is faster than Objective-C, because it removed the limitations of C language and has been improved with the help of advanced technologies that were unavailable when C was developed. As mentioned by Apple, Swift was originally designed to operate faster.

Despite the fact that languages are different, they both integrate, and work with Cocoa and Cocoa Touch APIs, for all Apple platforms. Therefore, a regular app-user would not recognize the difference in operating speed between Objective-C vs Swift. Speed also depends on a programmer’s level and capabilities, since a slow app can be written in Swift as well.

Learn more here https://mlsdev.com/blog/51-7-advantages-of-using-swift-over-objective-c

Founder at Pouch
Review of
Ruby

I taught myself Ruby about a year ago. I had experience with HTML/CSS, MySQL, and a little bit of javascript and python but would consider this my first true programming language I became proficient in (later picked up Swift).

I started with a CodeAcademy course before working on my first Rails project. The language is easy to read and Rails is an amazing framework. The online community is fantastic, the documentation is amazing, and there is no shortage of Ruby Gems which allows you to quickly "cobble" together a new project.

Software Development Consultan at MLSDev Inc.
Review of
Swift

Its performance approaches the one of C++ which is considered the fastest algorithm calculation arithmetics. And Apple strives to improve the speed of Swift. Learn more here https://mlsdev.com/blog/51-7-advantages-of-using-swift-over-objective-c

How developers use Python, Ruby, and Swift
Exchange rates API uses
Python

Beautiful is better than ugly.

Explicit is better than implicit.

Simple is better than complex.

Complex is better than complicated.

Flat is better than nested.

Sparse is better than dense.

Readability counts.

Special cases aren't special enough to break the rules.

Although practicality beats purity.

Errors should never pass silently.

Unless explicitly silenced.

In the face of ambiguity, refuse the temptation to guess.

There should be one-- and preferably only one --obvious way to do it.

Although that way may not be obvious at first unless you're Dutch.

Now is better than never.

Although never is often better than right now.

If the implementation is hard to explain, it's a bad idea.

If the implementation is easy to explain, it may be a good idea.

Namespaces are one honking great idea -- let's do more of those!

StackShare uses
Ruby

Only thing worth noting here is that we saw some major issues with memory swapping on Heroku with Ruby 2.1.2. We weren’t the only ones. So we actually reverted back to 2.0.0. Here’s what happened: reverting. We’re planning to upgrade to 2.1.4 once we’ve had time to test thoroughly.

Lawrence Cheuk uses
Swift

iPhone app, a new born language, it may good but the IDE, xcode is bad compare with Visual Studio. It just like a baby. playground can only use without connect to other library...you can not do a simply refactor of renaming a variable. You can go to definition and find reference, but you can not go to implementation....I should write them on xcode not here basically it is not the fault of swift, but it tightly to it, unless you want to use a notepad to write it.

benyomin uses
Ruby

When we are comparing Turing complete languages it's not about what compiles faster or to the cleanest machine code, it's about what the developer can think in and write faster, including the availability of libraries. A couple of times I wrote some ruby scripts for this project. I just like the language best for some things. Love the syntax.

Web Dreams uses
Python

To me, this is by far the best programming language. Why? Because it’s the only language that really got me going after trying to get into programming with Java for a while. Python is powerful, easy to learn, and gets you to unsderstand other languages more once you understand it. Did I state I love the python language? Well, I do..

ttandon uses
Python

Backend server for analysis of image samples from iPhone microscope lens. Chose this because of familiarity. The number one thing that I've learned at hackathons is that work exclusively with what you're 100% comfortable with. I use Python extensively at my day job at Wit.ai, so it was the obvious choice for the bulk of my coding.

papaver uses
Python

been a pythoner for around 7 years, maybe longer. quite adept at it, and love using the higher constructs like decorators. was my goto scripting language until i fell in love with clojure. python's also the goto for most vfx studios and great for the machine learning. numpy and pyqt for the win.

SaberEsPoder uses
Ruby

We are primarily a Ruby shop; our main apps are running on Ruby + Rails, our Slack bot is written in Ruby and our smaller projects are on Sinatra. It makes it really easy for us to re-use code and switch between different projects since they are all on the same language.

Refractal uses
Swift

Most of our newer apps are written completely in swift, with our older ones and some special cases using a mix of Swift and Objective-C, but with Swift 2, the language is pretty much a must-use. "guard" is <3.

Tim Lucas uses
Ruby

Because happiness. Testing via RSpec (mostly model and request specs), Factory Girl for fixtures, VCR for testing API responses, timecop, Redcarpet for Markdown rendering, Intercom gem for posting events.

Karma uses
Ruby

Most of our services are written in Ruby. We started out as a Ruby shop, but we're slowly also moving some stuff to Go. We're using Go more and more these days, actually, including some backend services.

Blood Bot uses
Python

Large swaths of resources built for python to achieve natural language processing. (We are in the process of deprecating the services written in python and porting them over to Javascript and node)

Flutter Health Inc. uses
Swift

Flutter is coded with Swift v.2.3 and can be run with Xcode v.8.2.1. To launch in Xcode 9.3, the code needs to be migrated to Swift 4.1

Maxim Ananov uses
Swift

Most of the app code was gradually rewritten in Swift for better performance and code maintenance.

JINJA Ltd. uses
Swift

Our native iOS app is built on Swift, and most of the basic function is still written in Swift