What is Dart and what are its top alternatives?
Dart is a programming language developed by Google that is often used for building web and mobile applications. It is known for its fast performance and strong support for building modern web applications. However, one limitation of Dart is its relatively smaller community compared to languages like JavaScript.
JavaScript: JavaScript is a widely used programming language for building web applications. It is supported by all major browsers and has a large community contributing to its ecosystem. Key features include flexibility, easy integration with other technologies, and extensive libraries. However, JavaScript can sometimes be challenging for beginners due to its loose typing system.
Python: Python is a versatile programming language known for its readability and simplicity. It has a large standard library and a thriving community that contributes to various frameworks and libraries. Key features include easy syntax, strong support for automation and data analysis, and scalability. However, Python can be slower compared to languages like Dart.
TypeScript: TypeScript is a superset of JavaScript that adds static typing to the language. It allows developers to catch potential errors during development and improves code maintainability. Key features include type safety, better code navigation and refactoring, and compatibility with existing JavaScript code. However, TypeScript may require additional build steps compared to Dart.
Kotlin: Kotlin is a modern programming language that runs on the JVM and can also be transpiled to JavaScript. It is known for its concise syntax, null safety, and interoperability with Java. Key features include expressiveness, interoperability with existing Java codebases, and support for functional programming. However, Kotlin may have a steeper learning curve compared to Dart.
Swift: Swift is a programming language developed by Apple for building iOS, macOS, watchOS, and tvOS applications. It is known for its speed, safety, and modern syntax. Key features include performance optimizations, memory safety, and easy integration with Objective-C code. However, Swift is limited to Apple platforms only, unlike Dart.
Rust: Rust is a systems programming language that focuses on safety, speed, and concurrency. It is designed to prevent common programming errors and offers memory safety without a garbage collector. Key features include zero-cost abstractions, fearless concurrency, and strong type system. However, Rust may have a steeper learning curve compared to Dart.
Go: Go is a statically typed, compiled programming language designed for simplicity and performance. It is known for its speed, efficiency, and built-in concurrency support. Key features include fast compilation times, built-in garbage collection, and strong standard library. However, Go may lack some advanced features compared to Dart.
Ruby: Ruby is a dynamic, object-oriented programming language known for its simplicity and productivity. It has an elegant syntax and a strong focus on developer happiness. Key features include readability, flexibility, and a large ecosystem of libraries and frameworks. However, Ruby may not be as performant as Dart for certain use cases.
PHP: PHP is a popular server-side scripting language used for creating dynamic web pages. It is known for its ease of use, wide-spread adoption, and extensive library support. Key features include simplicity, scalability, and strong community support. However, PHP may not be as suitable for building complex web applications as Dart.
C#: C# is a versatile programming language developed by Microsoft for building a wide range of applications on the .NET platform. It is known for its type safety, scalability, and performance. Key features include strong language interoperability, asynchronous programming support, and extensive tooling. However, C# may have a more verbose syntax compared to Dart.
Top Alternatives to Dart
TypeScriptTypeScript is a language for application-scale JavaScript development. It's a typed superset of JavaScript that compiles to plain JavaScript. ...
GolangGo is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language. ...
JavaScriptJavaScript 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. ...
KotlinKotlin is a statically typed programming language for the JVM, Android and the browser, 100% interoperable with Java ...
JavaJava 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! ...
FlutterFlutter is a mobile app SDK to help developers and designers build modern mobile apps for iOS and Android. ...
PythonPython 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. ...
SwiftWriting 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. ...
Dart alternatives & related posts
- More intuitive and type safe javascript174
- Type safe106
- JavaScript superset80
- The best AltJS ever48
- Best AltJS for BackEnd27
- Powerful type system, including generics & JS features15
- Compile time errors11
- Nice and seamless hybrid of static and dynamic typing11
- Aligned with ES development for compatibility10
- Angular7
- Structural, rather than nominal, subtyping7
- Starts and ends with JavaScript5
- Garbage collection1
- Code may look heavy and confusing5
- Hype4
related TypeScript posts
Our first experience with .NET core was when we developed our OSS feature management platform - Tweek (https://github.com/soluto/tweek). We wanted to create a solution that is able to run anywhere (super important for OSS), has excellent performance characteristics and can fit in a multi-container architecture. We decided to implement our rule engine processor in F# , our main service was implemented in C# and other components were built using JavaScript / TypeScript and Go.
Visual Studio Code worked really well for us as well, it worked well with all our polyglot services and the .Net core integration had great cross-platform developer experience (to be fair, F# was a bit trickier) - actually, each of our team members used a different OS (Ubuntu, macos, windows). Our production deployment ran for a time on Docker Swarm until we've decided to adopt Kubernetes with almost seamless migration process.
After our positive experience of running .Net core workloads in containers and developing Tweek's .Net services on non-windows machines, C# had gained back some of its popularity (originally lost to Node.js), and other teams have been using it for developing microservices, k8s sidecars (like https://github.com/Soluto/airbag), cli tools, serverless functions and other projects...
I picked up an idea to develop and it was no brainer I had to go with React for the frontend. I was faced with challenges when it came to what component framework to use. I had worked extensively with Material-UI but I needed something different that would offer me wider range of well customized components (I became pretty slow at styling). I brought in Evergreen after several sampling and reads online but again, after several prototype development against Evergreen—since I was using TypeScript and I had to import custom Type, it felt exhaustive. After I validated Evergreen with the designs of the idea I was developing, I also noticed I might have to do a lot of styling. I later stumbled on Material Kit, the one specifically made for React . It was promising with beautifully crafted components, most of which fits into the designs pages I had on ground.
A major problem of Material Kit for me is it isn't written in TypeScript and there isn't any plans to support its TypeScript version. I rolled up my sleeve and started converting their components to TypeScript and if you'll ask me, I am still on it.
In summary, I used the Create React App with TypeScript support and I am spending some time converting Material Kit to TypeScript before I start developing against it. All of these components are going to be hosted on Bit.
If you feel I am crazy or I have gotten something wrong, I'll be willing to listen to your opinion. Also, if you want to have a share of whatever TypeScript version of Material Kit I end up coming up with, let me know.
Golang
- High-performance553
- Simple, minimal syntax397
- Fun to write364
- Easy concurrency support via goroutines303
- Fast compilation times273
- Goroutines195
- Statically linked binaries that are simple to deploy181
- Simple compile build/run procedures151
- Backed by google137
- Great community137
- Garbage collection built-in53
- Built-in Testing47
- Excellent tools - gofmt, godoc etc44
- Elegant and concise like Python, fast like C40
- Awesome to Develop37
- Used for Docker26
- Flexible interface system26
- Great concurrency pattern25
- Deploy as executable24
- Open-source Integration21
- Easy to read19
- Fun to write and so many feature out of the box17
- Go is God17
- Powerful and simple14
- Easy to deploy14
- Its Simple and Heavy duty14
- Concurrency14
- Best language for concurrency13
- Safe GOTOs11
- Rich standard library11
- Clean code, high performance10
- Easy setup10
- High performance10
- Simplicity, Concurrency, Performance9
- Cross compiling8
- Single binary avoids library dependency issues8
- Hassle free deployment8
- Used by Giants of the industry7
- Simple, powerful, and great performance7
- Gofmt7
- Garbage Collection6
- WYSIWYG5
- Very sophisticated syntax5
- Excellent tooling5
- Keep it simple and stupid4
- Widely used4
- Kubernetes written on Go4
- No generics2
- Looks not fancy, but promoting pragmatic idioms1
- Operator goto1
- You waste time in plumbing code catching errors42
- Verbose25
- Packages and their path dependencies are braindead23
- Google's documentations aren't beginer friendly16
- Dependency management when working on multiple projects15
- Automatic garbage collection overheads10
- Uncommon syntax8
- Type system is lacking (no generics, etc)7
- Collection framework is lacking (list, set, map)5
- Best programming language3
- A failed experiment to combine c and python1
related Golang posts
How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.
We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)
We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.
Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.
#FrameworksFullStack #Languages
JavaScript
- Can be used on frontend/backend1.7K
- It's everywhere1.5K
- Lots of great frameworks1.2K
- Fast898
- Light weight746
- Flexible425
- You can't get a device today that doesn't run js392
- Non-blocking i/o286
- Ubiquitousness237
- Expressive191
- Extended functionality to web pages55
- Relatively easy language49
- Executed on the client side46
- Relatively fast to the end user30
- Pure Javascript25
- Functional programming21
- Async15
- Full-stack13
- Future Language of The Web12
- Setup is easy12
- Its everywhere12
- Because I love functions11
- JavaScript is the New PHP11
- Like it or not, JS is part of the web standard10
- Easy9
- Can be used in backend, frontend and DB9
- Expansive community9
- Everyone use it9
- Easy to hire developers8
- Most Popular Language in the World8
- For the good parts8
- Can be used both as frontend and backend as well8
- No need to use PHP8
- Powerful8
- Evolution of C7
- Its fun and fast7
- It's fun7
- Nice7
- Versitile7
- Hard not to use7
- Popularized Class-Less Architecture & Lambdas7
- Agile, packages simple to use7
- Supports lambdas and closures7
- Love-hate relationship7
- Photoshop has 3 JS runtimes built in7
- 1.6K Can be used on frontend/backend6
- Client side JS uses the visitors CPU to save Server Res6
- It let's me use Babel & Typescript6
- Easy to make something6
- Can be used on frontend/backend/Mobile/create PRO Ui6
- Client processing5
- What to add5
- Everywhere5
- Scope manipulation5
- Function expressions are useful for callbacks5
- Stockholm Syndrome5
- Promise relationship5
- Clojurescript5
- Only Programming language on browser4
- Because it is so simple and lightweight4
- Easy to learn and test1
- Easy to understand1
- Not the best1
- Subskill #41
- Hard to learn1
- Test21
- Test1
- Easy to learn1
- Hard 彤0
- A constant moving target, too much churn22
- Horribly inconsistent20
- Javascript is the New PHP15
- No ability to monitor memory utilitization9
- Shows Zero output in case of ANY error8
- Thinks strange results are better than errors7
- Can be ugly6
- No GitHub3
- Slow2
- HORRIBLE DOCUMENTS, faulty code, repo has bugs0
related JavaScript posts
Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.
But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.
But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.
Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.
How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
- Interoperable with Java73
- Functional Programming support55
- Null Safety51
- Official Android support46
- Backed by JetBrains44
- Concise37
- Modern Multiplatform Applications36
- Expressive Syntax28
- Target to JVM27
- Coroutines26
- Open Source24
- Statically Typed19
- Practical elegance19
- Android support17
- Type Inference17
- Readable code14
- Powerful as Scala, simple as Python, plus coroutines <313
- Better Java12
- Pragmatic10
- Lambda9
- Better language for android8
- Expressive DSLs8
- Target to JavaScript8
- Used for Android6
- Less boilerplate code6
- Fast Programming language5
- Less code5
- Native4
- Less boiler plate code4
- Friendly community4
- Functional Programming Language4
- Spring3
- Official Google Support3
- Latest version of Java2
- Well-compromised featured Java alternative1
- Java interop makes users write Java in Kotlin7
- Frequent use of {} keys4
- Hard to make teams adopt the Kotlin style2
- Nonullpointer Exception2
- Friendly community1
- Slow compiler1
- No boiler plate code1
related Kotlin posts
Hi Community! Trust everyone is keeping safe. I am exploring the idea of building a #Neobank (App) with end-to-end banking capabilities. In the process of exploring this space, I have come across multiple Apps (N26, Revolut, Monese, etc) and explored their stacks in detail. The confusion remains to be the Backend Tech to be used?
What would you go with considering all of the languages such as Node.js Java Rails Python are suggested by some person or the other. As a general trend, I have noticed the usage of Node with React on the front or Node with a combination of Kotlin and Swift. Please suggest what would be the right approach!
In our company we have think a lot about languages that we're willing to use, there we have considering Java, Python and C++ . All of there languages are old and well developed at fact but that's not ideology of araclx. We've choose a edge technologies such as Node.js , Rust , Kotlin and Go as our programming languages which is some kind of fun. Node.js is one of biggest trends of 2019, same for Go. We want to grow in our company with growth of languages we have choose, and probably when we would choose Java that would be almost impossible because larger languages move on today's market slower, and cannot have big changes.
Java
- Great libraries603
- Widely used446
- Excellent tooling401
- Huge amount of documentation available396
- 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
- Managed memory46
- High Performance46
- Native threads45
- Statically typed43
- Easy to read35
- Great Community33
- Reliable platform29
- Sturdy garbage collection24
- JVM compatibility24
- Cross Platform Enterprise Integration22
- Good amount of APIs20
- Universal platform20
- Great Support18
- Great ecosystem14
- Backward compatible11
- Lots of boilerplate11
- Everywhere10
- Excellent SDK - JDK9
- Cross-platform7
- It's Java7
- Static typing7
- Portability6
- Mature language thus stable systems6
- Better than Ruby6
- Long term language6
- Used for Android development5
- Clojure5
- Vast Collections Library5
- Best martial for design4
- Most developers favorite4
- Old tech4
- Testable3
- History3
- Javadoc3
- Stable platform, which many new languages depend on3
- Great Structure3
- Faster than python2
- Type Safe2
- Job0
- 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
related Java posts
How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
When you think about test automation, it’s crucial to make it everyone’s responsibility (not just QA Engineers'). We started with Selenium and Java, but with our platform revolving around Ruby, Elixir and JavaScript, QA Engineers were left alone to automate tests. Cypress was the answer, as we could switch to JS and simply involve more people from day one. There's a downside too, as it meant testing on Chrome only, but that was "good enough" for us + if really needed we can always cover some specific cases in a different way.
- Hot Reload143
- Cross platform123
- Performance105
- Backed by Google89
- Compiled into Native Code73
- Fast Development61
- Open Source58
- Fast Prototyping53
- Single Codebase49
- Expressive and Flexible UI48
- Reactive Programming36
- Material Design34
- Dart30
- Widget-based29
- Target to Fuchsia26
- IOS + Android20
- Easy to learn17
- Great CLI Support16
- You can use it as mobile, web, Server development14
- Tooling14
- Debugging quickly13
- Have built-in Material theme13
- Target to Android12
- Good docs & sample code12
- Community12
- Support by multiple IDE: Android Studio, VS Code, XCode11
- Written by Dart, which is easy to read code10
- Easy Testing Support10
- Target to iOS9
- Real platform free framework of the future9
- Have built-in Cupertino theme9
- Easy to Widget Test8
- Easy to Unit Test8
- Large Community1
- Need to learn Dart29
- Lack of community support11
- No 3D Graphics Engine Support10
- Graphics programming8
- Lack of friendly documentation6
- Lack of promotion2
- Https://iphtechnologies.com/difference-between-flutter1
related Flutter posts
I am starting to become a full-stack developer, by choosing and learning .NET Core for API Development, Angular CLI / React for UI Development, MongoDB for database, as it a NoSQL DB and Flutter / React Native for Mobile App Development. Using Postman, Markdown and Visual Studio Code for development.
The only two programming languages I know are Python and Dart, I fall in love with Dart when I learned about the type safeness, ease of refactoring, and the help of the IDE. I have an idea for an app, a simple app, but I need SEO and server rendering, and I also want it to be available on all platforms. I can't use Flutter or Dart anymore because of that. I have been searching and looks like there is no way to avoid learning HTML and CSS for this. I want to use Supabase as BASS, at the moment I think that I have two options if I want to learn the least amount of things because of my lack of time available:
Quasar Framework: They claim that I can do all the things I need, but I have to use JavaScript, and I am going to have all those bugs with a type-safe programming language avoidable. I guess I can use TypeScript?, but that means learning both, and I am not sure if I will be able to use 100% Typescript. Besides Vue.js, Node.js, etc.
Blazor and .NET: There is MAUI with razor bindings in .Net now, and also a Blazor server. And as far as I can see, the transition from Dart to C# will be easy. I guess that I have to learn some Javascript here and there, but I have to less things I guess, am I wrong? But Blazor is a new technology, Vue is widely used.
Python
- Great libraries1.2K
- Readable code963
- Beautiful code847
- Rapid development788
- Large community691
- Open source438
- Elegant393
- Great community282
- Object oriented273
- Dynamic typing221
- Great standard library77
- Very fast60
- Functional programming55
- Easy to learn50
- Scientific computing46
- Great documentation35
- Productivity29
- Matlab alternative28
- Easy to read28
- Simple is better than complex24
- It's the way I think20
- Imperative19
- Very programmer and non-programmer friendly18
- Free18
- Machine learning support17
- Powerfull language17
- Fast and simple16
- Scripting14
- Explicit is better than implicit12
- Ease of development11
- Clear and easy and powerfull10
- Unlimited power9
- Import antigravity8
- It's lean and fun to code8
- Print "life is short, use python"7
- Python has great libraries for data processing7
- High Documented language6
- I love snakes6
- Readability counts6
- Rapid Prototyping6
- Now is better than never6
- Although practicality beats purity6
- Flat is better than nested6
- Great for tooling6
- There should be one-- and preferably only one --obvious6
- Fast coding and good for competitions6
- Web scraping5
- Lists, tuples, dictionaries5
- Great for analytics5
- Beautiful is better than ugly4
- Easy to learn and use4
- Easy to setup and run smooth4
- Multiple Inheritence4
- CG industry needs4
- Socially engaged community4
- Complex is better than complicated4
- Plotting4
- Simple and easy to learn4
- List comprehensions3
- Powerful language for AI3
- Flexible and easy3
- It is Very easy , simple and will you be love programmi3
- Many types of collections3
- If the implementation is easy to explain, it may be a g3
- If the implementation is hard to explain, it's a bad id3
- Special cases aren't special enough to break the rules3
- Pip install everything3
- No cruft3
- Generators3
- Import this3
- Batteries included2
- Securit2
- Can understand easily who are new to programming2
- Should START with this but not STICK with This2
- A-to-Z2
- Because of Netflix2
- Only one way to do it2
- Better outcome2
- Good for hacking2
- Best friend for NLP1
- Sexy af1
- Procedural programming1
- Automation friendly1
- Slow1
- Keep it simple0
- Powerful0
- Ni0
- Still divided between python 2 and python 353
- Performance impact28
- Poor syntax for anonymous functions26
- GIL22
- Package management is a mess19
- Too imperative-oriented14
- Hard to understand12
- Dynamic typing12
- Very slow12
- Indentations matter a lot8
- Not everything is expression8
- Incredibly slow7
- Explicit self parameter in methods7
- Requires C functions for dynamic modules6
- Poor DSL capabilities6
- No anonymous functions6
- Fake object-oriented programming5
- Threading5
- The "lisp style" whitespaces5
- Official documentation is unclear.5
- Hard to obfuscate5
- Circular import5
- Lack of Syntax Sugar leads to "the pyramid of doom"4
- The benevolent-dictator-for-life quit4
- Not suitable for autocomplete4
- Meta classes2
- Training wheels (forced indentation)1
related Python posts
How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.
We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)
We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.
Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.
#FrameworksFullStack #Languages
- Ios259
- Elegant180
- Not Objective-C126
- Backed by apple107
- Type inference93
- Generics61
- Playgrounds54
- Semicolon free49
- OSX38
- Tuples offer compound variables36
- Clean Syntax24
- Easy to learn24
- Open Source22
- Beautiful Code21
- Functional20
- Dynamic12
- Linux12
- Protocol-oriented programming11
- Promotes safe, readable code10
- No S-l-o-w JVM9
- Explicit optionals8
- Storyboard designer7
- Optionals6
- Type safety6
- Super addicting language, great people, open, elegant5
- Best UI concept5
- Its friendly4
- Highly Readable codes4
- Fail-safe4
- Powerful4
- Faster and looks better4
- Swift is faster than Objective-C4
- Feels like a better C++4
- Easy to learn and work3
- Much more fun3
- Protocol extensions3
- Native3
- Its fun and damn fast3
- Strong Type safety3
- Easy to Maintain3
- Protocol as type2
- All Cons C# and Java Swift Already has2
- Esay2
- MacOS2
- Type Safe2
- Protocol oriented programming2
- Can interface with C easily1
- Actually don't have to own a mac1
- Free from Memory Leak1
- Swift is easier to understand for non-iOS developers.1
- Numbers with underbar1
- Optional chain1
- Great for Multi-Threaded Programming1
- Runs Python 8 times faster1
- Objec1
- Must own a mac6
- Memory leaks are not uncommon2
- Very irritatingly picky about things that’s1
- Complicated process for exporting modules1
- Its classes compile to roughly 300 lines of assembly1
- Is a lot more effort than lua to make simple functions1
- Overly complex options makes it easy to create bad code0
related Swift posts
Hi Community! Trust everyone is keeping safe. I am exploring the idea of building a #Neobank (App) with end-to-end banking capabilities. In the process of exploring this space, I have come across multiple Apps (N26, Revolut, Monese, etc) and explored their stacks in detail. The confusion remains to be the Backend Tech to be used?
What would you go with considering all of the languages such as Node.js Java Rails Python are suggested by some person or the other. As a general trend, I have noticed the usage of Node with React on the front or Node with a combination of Kotlin and Swift. Please suggest what would be the right approach!
Excerpts from how we developed (and subsequently open sourced) Uber's cross-platform mobile architecture framework, RIBs , going from Objective-C to Swift in the process for iOS: https://github.com/uber/RIBs
Uber’s new application architecture (RIBs) extensively uses protocols to keep its various components decoupled and testable. We used this architecture for the first time in our new rider application and moved our primary language from Objective-C to Swift. Since Swift is a very static language, unit testing became problematic. Dynamic languages have good frameworks to build test mocks, stubs, or stand-ins by dynamically creating or modifying existing concrete classes.
Needless to say, we were not very excited about the additional complexity of manually writing and maintaining mock implementations for each of our thousands of protocols.
The information required to generate mock classes already exists in the Swift protocol. For Uber’s use case, we set out to create tooling that would let engineers automatically generate test mocks for any protocol they wanted by simply annotating them.
The iOS codebase for our rider application alone incorporates around 1,500 of these generated mocks. Without our code generation tool, all of these would have to be written and maintained by hand, which would have made testing much more time-intensive. Auto-generated mocks have contributed a lot to the unit test coverage that we have today.
We built these code generation tools ourselves for a number of reasons, including that there weren’t many open source tools available at the time we started our effort. Today, there are some great open source tools to generate resource accessors, like SwiftGen. And Sourcery can help you with generic code generation needs:
https://eng.uber.com/code-generation/ https://eng.uber.com/driver-app-ribs-architecture/
(GitHub : https://github.com/uber/RIBs )