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Julia

369
490
+ 1
116
Oh My ZSH

336
230
+ 1
0
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Julia vs Oh My ZSH: What are the differences?

Developers describe Julia as "A high-level, high-performance dynamic programming language for technical computing". 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. On the other hand, Oh My ZSH is detailed as "A framework for managing your Zsh configuration". A delightful, open source, community-driven framework for managing your Zsh configuration. It comes bundled with thousands of helpful functions, helpers, plugins, themes.

Julia belongs to "Languages" category of the tech stack, while Oh My ZSH can be primarily classified under "Shell Utilities".

Julia and Oh My ZSH are both open source tools. Oh My ZSH with 91.5K GitHub stars and 17K forks on GitHub appears to be more popular than Julia with 22.8K GitHub stars and 3.43K GitHub forks.

SPiNNWERK, PlexChat, and Jelp App are some of the popular companies that use Oh My ZSH, whereas Julia is used by inFeedo, Platform Project, and N26. Oh My ZSH has a broader approval, being mentioned in 11 company stacks & 18 developers stacks; compared to Julia, which is listed in 5 company stacks and 5 developer stacks.

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Pros of Julia
Pros of Oh My ZSH
  • 17
    Designed for parallelism and distributed computation
  • 17
    Fast Performance and Easy Experimentation
  • 14
    Free and Open Source
  • 13
    Multiple Dispatch
  • 12
    Calling C functions directly
  • 12
    Lisp-like Macros
  • 11
    Dynamic Type System
  • 8
    Powerful Shell-like Capabilities
  • 4
    REPL
  • 4
    Jupyter notebook integration
  • 2
    Emojis as variable names
  • 2
    String handling
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    Cons of Julia
    Cons of Oh My ZSH
    • 5
      Immature library management system
    • 3
      Slow program start
    • 3
      Poor backwards compatibility
    • 2
      JIT compiler is very slow
    • 2
      Bad tooling
    • 2
      No static compilation
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      What is 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.

      What is Oh My ZSH?

      A delightful, open source, community-driven framework for managing your Zsh configuration. It comes bundled with thousands of helpful functions, helpers, plugins, themes.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Julia?
      What companies use Oh My ZSH?
      See which teams inside your own company are using Julia or Oh My ZSH.
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      What tools integrate with Julia?
      What tools integrate with Oh My ZSH?

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      What are some alternatives to Julia and Oh My ZSH?
      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.
      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.
      MATLAB
      Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
      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.
      Go
      Go 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.
      See all alternatives