Alternatives to Haskell logo

Alternatives to Haskell

Scala, Clojure, Erlang, Rust, and Python are the most popular alternatives and competitors to Haskell.
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What is Haskell and what are its top alternatives?

It is a general purpose language that can be used in any domain and use case, it is ideally suited for proprietary business logic and data analysis, fast prototyping and enhancing existing software environments with correct code, performance and scalability.
Haskell is a tool in the Languages category of a tech stack.

Top Alternatives to Haskell

  • Scala
    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. ...

  • Clojure
    Clojure

    Clojure is designed to be a general-purpose language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language - it compiles directly to JVM bytecode, yet remains completely dynamic. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system. ...

  • Erlang
    Erlang

    Some of Erlang's uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems. ...

  • Rust
    Rust

    Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory. ...

  • Python
    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. ...

  • OCaml
    OCaml

    It is an industrial strength programming language supporting functional, imperative and object-oriented styles. It is the technology of choice in companies where a single mistake can cost millions and speed matters, ...

  • Elixir
    Elixir

    Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain. ...

  • JavaScript
    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. ...

Haskell alternatives & related posts

Scala logo

Scala

9K
6.9K
1.5K
A pure-bred object-oriented language that runs on the JVM
9K
6.9K
+ 1
1.5K
PROS OF SCALA
  • 188
    Static typing
  • 179
    Pattern-matching
  • 177
    Jvm
  • 172
    Scala is fun
  • 138
    Types
  • 95
    Concurrency
  • 88
    Actor library
  • 86
    Solve functional problems
  • 83
    Open source
  • 80
    Solve concurrency in a safer way
  • 44
    Functional
  • 23
    Generics
  • 23
    Fast
  • 18
    It makes me a better engineer
  • 17
    Syntactic sugar
  • 13
    Scalable
  • 10
    First-class functions
  • 10
    Type safety
  • 9
    Interactive REPL
  • 8
    Expressive
  • 7
    SBT
  • 6
    Implicit parameters
  • 6
    Case classes
  • 4
    Used by Twitter
  • 4
    JVM, OOP and Functional programming, and static typing
  • 4
    Rapid and Safe Development using Functional Programming
  • 4
    Object-oriented
  • 3
    Functional Proframming
  • 2
    Spark
  • 2
    Beautiful Code
  • 2
    Safety
  • 2
    Growing Community
  • 1
    DSL
  • 1
    Rich Static Types System and great Concurrency support
  • 1
    Naturally enforce high code quality
  • 1
    Akka Streams
  • 1
    Akka
  • 1
    Reactive Streams
  • 1
    Easy embedded DSLs
  • 1
    Mill build tool
  • 0
    Freedom to choose the right tools for a job
CONS OF SCALA
  • 11
    Slow compilation time
  • 7
    Multiple ropes and styles to hang your self
  • 6
    Too few developers available
  • 4
    Complicated subtyping
  • 2
    My coworkers using scala are racist against other stuff

related Scala posts

Shared insights
on
JavaJavaScalaScalaApache SparkApache Spark

I am new to Apache Spark and Scala both. I am basically a Java developer and have around 10 years of experience in Java.

I wish to work on some Machine learning or AI tech stacks. Please assist me in the tech stack and help make a clear Road Map. Any feedback is welcome.

Technologies apart from Scala and Spark are also welcome. Please note that the tools should be relevant to Machine Learning or Artificial Intelligence.

See more
Marc Bollinger
Infra & Data Eng Manager at Thumbtack · | 5 upvotes · 584.8K views

Lumosity is home to the world's largest cognitive training database, a responsibility we take seriously. For most of the company's history, our analysis of user behavior and training data has been powered by an event stream--first a simple Node.js pub/sub app, then a heavyweight Ruby app with stronger durability. Both supported decent throughput and latency, but they lacked some major features supported by existing open-source alternatives: replaying existing messages (also lacking in most message queue-based solutions), scaling out many different readers for the same stream, the ability to leverage existing solutions for reading and writing, and possibly most importantly: the ability to hire someone externally who already had expertise.

We ultimately migrated to Kafka in early- to mid-2016, citing both industry trends in companies we'd talked to with similar durability and throughput needs, the extremely strong documentation and community. We pored over Kyle Kingsbury's Jepsen post (https://aphyr.com/posts/293-jepsen-Kafka), as well as Jay Kreps' follow-up (http://blog.empathybox.com/post/62279088548/a-few-notes-on-kafka-and-jepsen), talked at length with Confluent folks and community members, and still wound up running parallel systems for quite a long time, but ultimately, we've been very, very happy. Understanding the internals and proper levers takes some commitment, but it's taken very little maintenance once configured. Since then, the Confluent Platform community has grown and grown; we've gone from doing most development using custom Scala consumers and producers to being 60/40 Kafka Streams/Connects.

We originally looked into Storm / Heron , and we'd moved on from Redis pub/sub. Heron looks great, but we already had a programming model across services that was more akin to consuming a message consumers than required a topology of bolts, etc. Heron also had just come out while we were starting to migrate things, and the community momentum and direction of Kafka felt more substantial than the older Storm. If we were to start the process over again today, we might check out Pulsar , although the ecosystem is much younger.

To find out more, read our 2017 engineering blog post about the migration!

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Clojure logo

Clojure

1.4K
1.3K
1.1K
A dynamic programming language that targets the Java Virtual Machine
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PROS OF CLOJURE
  • 118
    It is a lisp
  • 101
    Persistent data structures
  • 100
    Concise syntax
  • 89
    jvm-based language
  • 88
    Concurrency
  • 82
    Interactive repl
  • 76
    Code is data
  • 61
    Open source
  • 60
    Lazy data structures
  • 55
    Macros
  • 48
    Functional
  • 22
    Simplistic
  • 21
    Immutable by default
  • 19
    Excellent collections
  • 18
    Fast-growing community
  • 14
    Simple (not easy!)
  • 14
    Multiple host languages
  • 14
    Practical Lisp
  • 9
    Because it's really fun to use
  • 9
    Community
  • 9
    Addictive
  • 8
    It creates Reusable code
  • 8
    Web friendly
  • 8
    Rapid development
  • 7
    Minimalist
  • 5
    Programmable programming language
  • 5
    Java interop
  • 4
    Regained interest in programming
  • 3
    EDN
  • 3
    Compiles to JavaScript
  • 2
    Share a lot of code with clojurescript/use on frontend
CONS OF CLOJURE
  • 9
    Cryptic stacktraces
  • 4
    Need to wrap basically every java lib
  • 4
    Toxic community
  • 3
    Good code heavily relies on local conventions
  • 2
    Slow application startup
  • 2
    Tonns of abandonware
  • 1
    Usable only with REPL
  • 1
    Hiring issues
  • 1
    Bad documented libs
  • 1
    Macros are overused by devs
  • 1
    Tricky profiling
  • 1
    IDE with high learning curve
  • 1
    Configuration bolierplate
  • 1
    Conservative community
  • 0
    Have no good and fast fmt

related Clojure posts

Stitch is run entirely on AWS. All of our transactional databases are run with Amazon RDS, and we rely on Amazon S3 for data persistence in various stages of our pipeline. Our product integrates with Amazon Redshift as a data destination, and we also use Redshift as an internal data warehouse (powered by Stitch, of course).

The majority of our services run on stateless Amazon EC2 instances that are managed by AWS OpsWorks. We recently introduced Kubernetes into our infrastructure to run the scheduled jobs that execute Singer code to extract data from various sources. Although we tend to be wary of shiny new toys, Kubernetes has proven to be a good fit for this problem, and its stability, strong community and helpful tooling have made it easy for us to incorporate into our operations.

While we continue to be happy with Clojure for our internal services, we felt that its relatively narrow adoption could impede Singer's growth. We chose Python both because it is well suited to the task, and it seems to have reached critical mass among data engineers. All that being said, the Singer spec is language agnostic, and integrations and libraries have been developed in JavaScript, Go, and Clojure.

See more

I adopted Clojure and ClojureScript because:

  • it's 1 language, multiple platforms.
  • Simple syntax.
  • Designed to avoid unwanted side effects and bugs.
  • Immutable data-structures.
  • Compact code, very expressive.
  • Source code is data.
  • It has super-flexible macro.
  • Has metadata.
  • Interoperability with JavaScript, Java and C#.
See more
Erlang logo

Erlang

833
705
327
A programming language used to build massively scalable soft real-time systems with requirements on high availability
833
705
+ 1
327
PROS OF ERLANG
  • 60
    Concurrency Support
  • 60
    Real time, distributed applications
  • 56
    Fault tolerance
  • 35
    Soft real-time
  • 31
    Open source
  • 21
    Functional programming
  • 20
    Message passing
  • 15
    Immutable data
  • 13
    Works as expected
  • 5
    Facebook chat uses it at backend
  • 4
    Practical
  • 4
    Knowledgeable community
  • 3
    Bullets included
CONS OF ERLANG
    Be the first to leave a con

    related Erlang posts

    Sebastian Gębski

    Another major decision was to adopt Elixir and Phoenix Framework - the DX (Developer eXperience) is pretty similar to what we know from RoR, but this tech is running on the top of rock-solid Erlang platform which is powering planet-scale telecom solutions for 20+ years. So we're getting pretty much the best from both worlds: minimum friction & smart conventions that eliminate the excessive boilerplate AND highly concurrent EVM (Erlang's Virtual Machine) that makes all the scalability problems vanish. The transition was very smooth - none of Ruby developers we had decided to leave because of Elixir. What is more, we kept recruiting Ruby developers w/o any requirement regarding Elixir proficiency & we still were able to educate them internally in almost no time. Obviously Elixir comes with some more tools in the stack: Credo , Hex , AppSignal (required to properly monitor BEAM apps).

    See more

    Hello everyone, I plan on building a platform that supports 100s of forums out of the box, it would give the user the ability to create forums, where other users can comment, post images, and videos (the size of videos would be limited). Each forum would have the ability to trend. I have been doing a lot of research and I have arrived at Golang and Erlang as the backend languages and PostgreSQL as the DB. Erlang would be used for the routing of chats and messages, while Go would be used to manage the forums. We would also be implementing a one on one chat system like WhatsApp chat, where users can add contacts.

    Please I would like to know if the languages picked are appropriate for this project. Suggestions would be appreciated.

    See more
    Rust logo

    Rust

    3.6K
    4.1K
    1.2K
    A safe, concurrent, practical language
    3.6K
    4.1K
    + 1
    1.2K
    PROS OF RUST
    • 138
      Guaranteed memory safety
    • 125
      Fast
    • 83
      Open source
    • 75
      Minimal runtime
    • 69
      Pattern matching
    • 61
      Type inference
    • 55
      Concurrent
    • 55
      Algebraic data types
    • 45
      Efficient C bindings
    • 43
      Practical
    • 36
      Best advances in languages in 20 years
    • 29
      Fix for C/C++
    • 29
      Safe, fast, easy + friendly community
    • 23
      Stablity
    • 22
      Zero-cost abstractions
    • 22
      Closures
    • 19
      Extensive compiler checks
    • 18
      Great community
    • 16
      No NULL type
    • 14
      Completely cross platform: Windows, Linux, Android
    • 14
      Async/await
    • 13
      No Garbage Collection
    • 12
      Great documentations
    • 12
      High-performance
    • 11
      High performance
    • 11
      Super fast
    • 10
      Safety no runtime crashes
    • 10
      Fearless concurrency
    • 10
      Generics
    • 10
      Guaranteed thread data race safety
    • 9
      Compiler can generate Webassembly
    • 9
      Helpful compiler
    • 8
      Macros
    • 8
      Prevents data races
    • 8
      Easy Deployment
    • 7
      Painless dependency management
    • 7
      RLS provides great IDE support
    • 6
      Real multithreading
    • 4
      Good package management
    • 4
      Support on Other Languages
    CONS OF RUST
    • 26
      Hard to learn
    • 23
      Ownership learning curve
    • 11
      Unfriendly, verbose syntax
    • 4
      Variable shadowing
    • 4
      High size of builded executable
    • 4
      Many type operations make it difficult to follow
    • 3
      No jobs

    related Rust posts

    Caue Carvalho
    Shared insights
    on
    RustRustGolangGolangPythonPythonRubyRubyC#C#

    Hello!

    I'm a developer for over 9 years, and most of this time I've been working with C# and it is paying my bills until nowadays. But I'm seeking to learn other languages and expand the possibilities for the next years.

    Now the question... I know Ruby is far from dead but is it still worth investing time in learning it? Or would be better to take Python, Golang, or even Rust? Or maybe another language.

    Thanks in advance.

    See more
    James Cunningham
    Operations Engineer at Sentry · | 18 upvotes · 134.9K views
    Shared insights
    on
    PythonPythonRustRust
    at

    Sentry's event processing pipeline, which is responsible for handling all of the ingested event data that makes it through to our offline task processing, is written primarily in Python.

    For particularly intense code paths, like our source map processing pipeline, we have begun re-writing those bits in Rust. Rust’s lack of garbage collection makes it a particularly convenient language for embedding in Python. It allows us to easily build a Python extension where all memory is managed from the Python side (if the Python wrapper gets collected by the Python GC we clean up the Rust object as well).

    See more
    Python logo

    Python

    195.3K
    164.5K
    6.7K
    A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
    195.3K
    164.5K
    + 1
    6.7K
    PROS OF PYTHON
    • 1.1K
      Great libraries
    • 947
      Readable code
    • 834
      Beautiful code
    • 780
      Rapid development
    • 682
      Large community
    • 426
      Open source
    • 385
      Elegant
    • 278
      Great community
    • 268
      Object oriented
    • 214
      Dynamic typing
    • 75
      Great standard library
    • 56
      Very fast
    • 51
      Functional programming
    • 43
      Scientific computing
    • 43
      Easy to learn
    • 33
      Great documentation
    • 26
      Matlab alternative
    • 25
      Productivity
    • 25
      Easy to read
    • 21
      Simple is better than complex
    • 18
      It's the way I think
    • 17
      Imperative
    • 15
      Very programmer and non-programmer friendly
    • 15
      Free
    • 14
      Powerfull language
    • 14
      Machine learning support
    • 14
      Powerful
    • 13
      Fast and simple
    • 12
      Scripting
    • 9
      Explicit is better than implicit
    • 8
      Unlimited power
    • 8
      Ease of development
    • 8
      Clear and easy and powerfull
    • 7
      Import antigravity
    • 6
      It's lean and fun to code
    • 6
      Print "life is short, use python"
    • 5
      Great for tooling
    • 5
      Fast coding and good for competitions
    • 5
      I love snakes
    • 5
      Python has great libraries for data processing
    • 5
      There should be one-- and preferably only one --obvious
    • 5
      High Documented language
    • 5
      Flat is better than nested
    • 5
      Although practicality beats purity
    • 4
      Rapid Prototyping
    • 4
      Readability counts
    • 3
      Great for analytics
    • 3
      Web scraping
    • 3
      Now is better than never
    • 3
      Plotting
    • 3
      Lists, tuples, dictionaries
    • 3
      Socially engaged community
    • 3
      Complex is better than complicated
    • 3
      Multiple Inheritence
    • 3
      Beautiful is better than ugly
    • 3
      CG industry needs
    • 2
      No cruft
    • 2
      Many types of collections
    • 2
      Easy to learn and use
    • 2
      Special cases aren't special enough to break the rules
    • 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
      List comprehensions
    • 2
      Generators
    • 2
      Simple and easy to learn
    • 2
      Easy to setup and run smooth
    • 2
      Import this
    • 1
      Powerful language for AI
    • 1
      Because of Netflix
    • 1
      A-to-Z
    • 1
      Only one way to do it
    • 1
      Can understand easily who are new to programming
    • 1
      Flexible and easy
    • 1
      Better outcome
    • 1
      Batteries included
    • 1
      Good for hacking
    • 1
      Should START with this but not STICK with This
    • 1
      Pip install everything
    • 1
      It is Very easy , simple and will you be love programmi
    • 0
      Powerful
    CONS OF PYTHON
    • 51
      Still divided between python 2 and python 3
    • 28
      Performance impact
    • 26
      Poor syntax for anonymous functions
    • 21
      GIL
    • 19
      Package management is a mess
    • 14
      Too imperative-oriented
    • 12
      Hard to understand
    • 12
      Dynamic typing
    • 10
      Very slow
    • 8
      Not everything is expression
    • 7
      Explicit self parameter in methods
    • 7
      Indentations matter a lot
    • 6
      Poor DSL capabilities
    • 6
      Incredibly slow
    • 6
      No anonymous functions
    • 6
      Requires C functions for dynamic modules
    • 5
      Hard to obfuscate
    • 5
      Threading
    • 5
      Fake object-oriented programming
    • 5
      The "lisp style" whitespaces
    • 4
      Official documentation is unclear.
    • 4
      Circular import
    • 4
      Lack of Syntax Sugar leads to "the pyramid of doom"
    • 4
      Not suitable for autocomplete
    • 4
      The benevolent-dictator-for-life quit
    • 2
      Meta classes
    • 1
      Training wheels (forced indentation)

    related Python posts

    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 41 upvotes · 5.5M views

    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

    See more
    Nick Parsons
    Building cool things on the internet 🛠️ at Stream · | 35 upvotes · 1.8M views

    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

    See more
    OCaml logo

    OCaml

    166
    147
    21
    A general purpose industrial-strength programming language
    166
    147
    + 1
    21
    PROS OF OCAML
    • 5
      Satisfying to write
    • 4
      Pattern matching
    • 3
      Also has OOP
    • 3
      Easy syntax
    • 3
      Very practical
    • 3
      Extremely powerful type inference
    CONS OF OCAML
    • 3
      Small community
    • 1
      Royal pain in the neck to compile large programs

    related OCaml posts

    Elixir logo

    Elixir

    3K
    3K
    1.3K
    Dynamic, functional language designed for building scalable and maintainable applications
    3K
    3K
    + 1
    1.3K
    PROS OF ELIXIR
    • 171
      Concurrency
    • 158
      Functional
    • 132
      Erlang vm
    • 111
      Great documentation
    • 104
      Great tooling
    • 84
      Immutable data structures
    • 79
      Open source
    • 76
      Pattern-matching
    • 61
      Easy to get started
    • 58
      Actor library
    • 29
      Functional with a neat syntax
    • 28
      Ruby inspired
    • 24
      Homoiconic
    • 23
      Erlang evolved
    • 21
      Beauty of Ruby, Speed of Erlang/C
    • 17
      Fault Tolerant
    • 13
      Simple
    • 13
      High Performance
    • 10
      Good lang
    • 9
      Stinkin' fast, no memory leaks, easy on the eyes
    • 9
      Pipe Operator
    • 9
      Doc as first class citizen
    • 7
      Fun to write
    • 7
      Resilient to failure
    • 6
      OTP
    • 5
      GenServer takes the guesswork out of background work
    • 4
      Pattern matching
    • 4
      Idempotence
    • 4
      Fast, Concurrent with clean error messages
    • 4
      Not Swift
    • 2
      Error isolation
    • 1
      Dynamic Typing
    • 1
      Easy to use
    CONS OF ELIXIR
    • 11
      Fewer jobs for Elixir experts
    • 7
      Smaller userbase than other mainstream languages
    • 5
      Elixir's dot notation less readable ("object": 1st arg)
    • 4
      Dynamic typing
    • 1
      Difficult to understand
    • 1
      Not a lot of learning books available

    related Elixir posts

    Kamil Kowalski
    Lead Architect at Fresha · | 28 upvotes · 1.7M views

    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.

    See more
    Sebastian Gębski

    Another major decision was to adopt Elixir and Phoenix Framework - the DX (Developer eXperience) is pretty similar to what we know from RoR, but this tech is running on the top of rock-solid Erlang platform which is powering planet-scale telecom solutions for 20+ years. So we're getting pretty much the best from both worlds: minimum friction & smart conventions that eliminate the excessive boilerplate AND highly concurrent EVM (Erlang's Virtual Machine) that makes all the scalability problems vanish. The transition was very smooth - none of Ruby developers we had decided to leave because of Elixir. What is more, we kept recruiting Ruby developers w/o any requirement regarding Elixir proficiency & we still were able to educate them internally in almost no time. Obviously Elixir comes with some more tools in the stack: Credo , Hex , AppSignal (required to properly monitor BEAM apps).

    See more
    JavaScript logo

    JavaScript

    282.6K
    226.2K
    7.9K
    Lightweight, interpreted, object-oriented language with first-class functions
    282.6K
    226.2K
    + 1
    7.9K
    PROS OF JAVASCRIPT
    • 1.6K
      Can be used on frontend/backend
    • 1.5K
      It's everywhere
    • 1.2K
      Lots of great frameworks
    • 893
      Fast
    • 740
      Light weight
    • 423
      Flexible
    • 390
      You can't get a device today that doesn't run js
    • 286
      Non-blocking i/o
    • 235
      Ubiquitousness
    • 189
      Expressive
    • 53
      Extended functionality to web pages
    • 47
      Relatively easy language
    • 44
      Executed on the client side
    • 28
      Relatively fast to the end user
    • 23
      Pure Javascript
    • 19
      Functional programming
    • 13
      Async
    • 10
      Full-stack
    • 10
      Setup is easy
    • 10
      Its everywhere
    • 9
      Because I love functions
    • 8
      Like it or not, JS is part of the web standard
    • 8
      JavaScript is the New PHP
    • 8
      Can be used in backend, frontend and DB
    • 7
      Future Language of The Web
    • 7
      Easy
    • 7
      Expansive community
    • 6
      Can be used both as frontend and backend as well
    • 6
      Most Popular Language in the World
    • 6
      For the good parts
    • 6
      Everyone use it
    • 6
      Love-hate relationship
    • 6
      Easy to hire developers
    • 6
      Evolution of C
    • 6
      Supports lambdas and closures
    • 6
      Agile, packages simple to use
    • 6
      Popularized Class-Less Architecture & Lambdas
    • 5
      Versitile
    • 5
      Photoshop has 3 JS runtimes built in
    • 5
      No need to use PHP
    • 5
      Its fun and fast
    • 5
      Powerful
    • 4
      It's fun
    • 4
      Stockholm Syndrome
    • 4
      Nice
    • 4
      Easy to make something
    • 4
      Can be used on frontend/backend/Mobile/create PRO Ui
    • 4
      It let's me use Babel & Typescript
    • 4
      Client side JS uses the visitors CPU to save Server Res
    • 4
      1.6K Can be used on frontend/backend
    • 4
      What to add
    • 4
      Clojurescript
    • 4
      Function expressions are useful for callbacks
    • 4
      Everywhere
    • 4
      Hard not to use
    • 4
      Promise relationship
    • 4
      Scope manipulation
    • 4
      Client processing
    • 3
      Because it is so simple and lightweight
    • 3
      Only Programming language on browser
    • 0
      Easy to understand
    CONS OF JAVASCRIPT
    • 21
      A constant moving target, too much churn
    • 20
      Horribly inconsistent
    • 14
      Javascript is the New PHP
    • 8
      No ability to monitor memory utilitization
    • 6
      Shows Zero output in case of ANY error
    • 5
      Can be ugly
    • 4
      Thinks strange results are better than errors
    • 2
      No GitHub
    • 1
      Slow

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    How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

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