Jolie vs R Language

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Jolie

4
10
+ 1
1
R Language

3.2K
1.9K
+ 1
412
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Pros of Jolie
Pros of R Language
  • 1
    Very short time from development to production.
  • 84
    Data analysis
  • 63
    Graphics and data visualization
  • 54
    Free
  • 45
    Great community
  • 38
    Flexible statistical analysis toolkit
  • 27
    Easy packages setup
  • 27
    Access to powerful, cutting-edge analytics
  • 18
    Interactive
  • 13
    R Studio IDE
  • 9
    Hacky
  • 7
    Shiny apps
  • 6
    Shiny interactive plots
  • 6
    Preferred Medium
  • 5
    Automated data reports
  • 4
    Cutting-edge machine learning straight from researchers
  • 3
    Machine Learning
  • 2
    Graphical visualization
  • 1
    Flexible Syntax
Cons of Jolie
Cons of R Language
    Be the first to leave a con
    • 6
      Very messy syntax
    • 4
      Tables must fit in RAM
    • 3
      Arrays indices start with 1
    • 2
      Messy syntax for string concatenation
    • 2
      No push command for vectors/lists
    • 1
      Messy character encoding
    • 0
      Poor syntax for classes
    • 0
      Messy syntax for array/vector combination

    What is Jolie?

    Jolie crystallises the programming concepts of microservices as native language features: the basic building blocks of software are not objects or functions, but rather services that can always be relocated and replicated as needed. Distribution and reusability are achieved by design.

    What is 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.

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    What companies use Jolie?
    What companies use R Language?
      No companies found

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      What tools integrate with Jolie?
      What tools integrate with R Language?
        No integrations found

        Blog Posts

        Aug 28 2019 at 3:10AM

        Segment

        PythonJavaAmazon S3+16
        7
        2556
        GitHubGitPython+22
        17
        14208
        GitHubGitDocker+34
        29
        42439
        What are some alternatives to Jolie and R Language?
        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.
        Haskell
        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.
        Common Lisp
        Lisp was originally created as a practical mathematical notation for computer programs, influenced by the notation of Alonzo Church's lambda calculus. It quickly became the favored programming language for artificial intelligence (AI) research. As one of the earliest programming languages, Lisp pioneered many ideas in computer science, including tree data structures, automatic storage management, dynamic typing, conditionals, higher-order functions, recursion, and the self-hosting compiler. [source: wikipedia]
        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.
        Julia
        Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.